ChatGPT Summaries
Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experimentsnpj Digital Medicine - (Thursday September 25, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | The rapid development of AI solutions reveals opportunities to address the underdiagnosis and poor management of chronic conditions in developing settings. Using the method of simulated patients and experimental designs, we evaluate the quality,... The latest study evaluates the efficacy of ERNIE Bot, an AI chatbot, in managing chronic diseases through simulated patient experiments. With a diagnostic accuracy of 77.3% and a prescription correctness of 94.3%, the bot shows promise in enhancing healthcare accessibility in low-resource settings. However, it also reveals concerning trends of overprescription, with 91.9% of lab tests deemed unnecessary. Disparities based on age and economic status were evident, highlighting the need for careful implementation of AI tools in healthcare. This research underscores the dual potential of AI to improve care while amplifying existing inequalities. #HealthTech #AIinHealthcare #ChronicDiseaseManagement #HealthEquity #DigitalHealth #HealthDisparities #PatientSafety As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJfeZQ1wXmj6vngZbpCXu8qSiIr3o", "object": "chat.completion", "created": 1758804383, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The latest study evaluates the efficacy of ERNIE Bot, an AI chatbot, in managing chronic diseases through simulated patient experiments. With a diagnostic accuracy of 77.3% and a prescription correctness of 94.3%, the bot shows promise in enhancing healthcare accessibility in low-resource settings. However, it also reveals concerning trends of overprescription, with 91.9% of lab tests deemed unnecessary. Disparities based on age and economic status were evident, highlighting the need for careful implementation of AI tools in healthcare. This research underscores the dual potential of AI to improve care while amplifying existing inequalities. #HealthTech #AIinHealthcare #ChronicDiseaseManagement #HealthEquity #DigitalHealth #HealthDisparities #PatientSafety", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26663, "completion_tokens": 150, "total_tokens": 26813, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 26663 |
Multimodal foundation model and benchmark for comprehensive retinal OCT image analysisnpj Digital Medicine - (Thursday September 25, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Artificial intelligence (AI) has become a fundamental tool for assisting clinicians in analyzing ophthalmic images, such as optical coherence tomography (OCT). However, developing AI models often requires extensive annotation, and existing models tend to... Introducing MIRAGE, a groundbreaking multimodal foundation model for retinal OCT and SLO image analysis. This innovative model addresses the challenges of existing AI systems by leveraging self-supervised learning on vast datasets, enhancing both classification and segmentation tasks. Our evaluation benchmark demonstrates MIRAGE's superior performance compared to traditional models, showcasing its potential for real-world clinical applications. With its robust architecture, MIRAGE paves the way for more accurate and generalizable AI solutions in ophthalmology.#HealthcareIT #AIinHealthcare #Ophthalmology #MedicalImaging #MachineLearning #DeepLearning #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJfZA461ECR9y2qUTn854vyKqHMFz", "object": "chat.completion", "created": 1758804048, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Introducing MIRAGE, a groundbreaking multimodal foundation model for retinal OCT and SLO image analysis. This innovative model addresses the challenges of existing AI systems by leveraging self-supervised learning on vast datasets, enhancing both classification and segmentation tasks. Our evaluation benchmark demonstrates MIRAGE's superior performance compared to traditional models, showcasing its potential for real-world clinical applications. With its robust architecture, MIRAGE paves the way for more accurate and generalizable AI solutions in ophthalmology. nn#HealthcareIT #AIinHealthcare #Ophthalmology #MedicalImaging #MachineLearning #DeepLearning #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 39475, "completion_tokens": 118, "total_tokens": 39593, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 39475 |
Avegen: scaling personalised care through adaptable digital health solutionsDigitalHealth.London - (Thursday September 25, 2025) - Daily Reads/ DigitalHealth.London | |
![]() | Avegen, a health technology company founded in 2015, aims to address critical gaps in patient care and engagement using scalable digital tools. The company developed the HealthMachine platform to empower healthcare providers and patients... Avegen is revolutionizing personalized care with its HealthMachine platform, designed to bridge critical gaps in patient engagement. Launched in 2015, the platform empowers healthcare providers and patients with data-driven solutions, enhancing care in areas like maternal health and chronic disease management. Notably, the partnership with Chelsea and Westminster Hospital has transformed HIV outpatient care, significantly reducing wait times and improving patient outcomes. With the recent launch of HealthMachine 2.0, Avegen aims to expand its impact across NHS trusts, focusing on scalable, community-based care. Join the conversation on the future of digital health! #DigitalHealth #HealthTech #PatientEngagement #PersonalizedCare #NHS #Innovation #HealthcareIT As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJfJaP1V2A0C7Cj8EAnBXJwP5mlxr", "object": "chat.completion", "created": 1758803082, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Avegen is revolutionizing personalized care with its HealthMachine platform, designed to bridge critical gaps in patient engagement. Launched in 2015, the platform empowers healthcare providers and patients with data-driven solutions, enhancing care in areas like maternal health and chronic disease management. Notably, the partnership with Chelsea and Westminster Hospital has transformed HIV outpatient care, significantly reducing wait times and improving patient outcomes. With the recent launch of HealthMachine 2.0, Avegen aims to expand its impact across NHS trusts, focusing on scalable, community-based care. Join the conversation on the future of digital health! #DigitalHealth #HealthTech #PatientEngagement #PersonalizedCare #NHS #Innovation #HealthcareIT", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1210, "completion_tokens": 141, "total_tokens": 1351, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 1210 |
The Automation-First Mindset in Healthcare: Key Considerations for the AI EraHIT Consultant - (Thursday September 25, 2025) - AI/ Frequent Updates/ HIT Consultant | |
![]() | Robert Duffy, Chief Technology Officer at HealthEdgeAs AI use cases in healthcare continue to expand, the priority list for most IT organizations is dominated by areas where they want to leverage automation to improve... In the evolving landscape of healthcare, adopting an automation-first mindset is essential for leveraging AI effectively. Organizations must integrate automation into every initiative, overcoming technical and cultural barriers. Starting with administrative tasks, such as EHR management and patient engagement, can streamline operations and enhance patient care. The journey towards automation requires leadership buy-in and a phased approach, focusing on low-risk, high-reward processes. Ultimately, fostering an AI-centric culture will enhance agility and efficiency, paving the way for improved healthcare outcomes.#HealthcareIT #AI #Automation #DigitalTransformation #Innovation #HealthTech #Leadership As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJjng4uwgCYbasZGurYeUS8qdP14Z", "object": "chat.completion", "created": 1758820324, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of healthcare, adopting an automation-first mindset is essential for leveraging AI effectively. Organizations must integrate automation into every initiative, overcoming technical and cultural barriers. Starting with administrative tasks, such as EHR management and patient engagement, can streamline operations and enhance patient care. The journey towards automation requires leadership buy-in and a phased approach, focusing on low-risk, high-reward processes. Ultimately, fostering an AI-centric culture will enhance agility and efficiency, paving the way for improved healthcare outcomes. nn#HealthcareIT #AI #Automation #DigitalTransformation #Innovation #HealthTech #Leadership", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1504, "completion_tokens": 117, "total_tokens": 1621, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 1504 |
Charlotte Refsum to return as Rewired speaker in 2026Digital Health - (Thursday September 25, 2025) - Daily Reads/ Digital Health | |
![]() | Dr Charlotte Refsum, director of health policy at the Tony Blair Institute for Global Change (TBI) will make a welcome return to Digital Health Rewired in 2026.Dr Charlotte Refsum, director of health policy at... Exciting news for the healthcare IT community! Dr. Charlotte Refsum, director of health policy at the Tony Blair Institute, will return to Digital Health Rewired in 2026. With her extensive experience in digital health records and AI, she aims to empower the NHS for the future. Refsum’s insights will be invaluable as she discusses the importance of digital transformation and integrated care. The event, happening on March 24-25 at Birmingham NEC, will also feature leaders like Jonathan Brotherton and Rachel Power, sharing their expertise in enhancing patient outcomes.#DigitalHealth #HealthIT #AIinHealthcare #NHS #HealthInnovation #DigitalTransformation #PatientCare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJd14bVYjMt7NrrNfi7GlwKLW6jtZ", "object": "chat.completion", "created": 1758794246, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news for the healthcare IT community! Dr. Charlotte Refsum, director of health policy at the Tony Blair Institute, will return to Digital Health Rewired in 2026. With her extensive experience in digital health records and AI, she aims to empower the NHS for the future. Refsum’s insights will be invaluable as she discusses the importance of digital transformation and integrated care. The event, happening on March 24-25 at Birmingham NEC, will also feature leaders like Jonathan Brotherton and Rachel Power, sharing their expertise in enhancing patient outcomes. nn#DigitalHealth #HealthIT #AIinHealthcare #NHS #HealthInnovation #DigitalTransformation #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 603, "completion_tokens": 137, "total_tokens": 740, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 603 |
More than 100,000 Universal Care Plans created in LondonDigital Health - (Thursday September 25, 2025) - Digital Health/ Frequent Updates | |
![]() | More than 100,000 care plans have been created using the Universal Care Plan (UCP) since the programme was launched, Capital OneLondon has announced. The UCP is an NHS service that digitally shares personalised care plans... Over 100,000 Universal Care Plans (UCP) have been created in London since its launch in July 2022, revolutionizing personalized care. This NHS initiative enables seamless sharing of care plans among healthcare professionals, ensuring that patients receive timely and appropriate care. With a focus on long-term conditions like dementia and sickle cell disease, the UCP empowers patients to view and contribute to their care plans via the NHS App. As we shift towards preventive care, the UCP exemplifies how digital solutions can enhance patient outcomes and streamline healthcare delivery.#HealthcareIT #DigitalHealth #PatientCare #NHS #HealthTech #CareCoordination #InnovationInHealthcare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJd7UoXW2ztm5W1IiHCl31gQQc8fU", "object": "chat.completion", "created": 1758794644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Over 100,000 Universal Care Plans (UCP) have been created in London since its launch in July 2022, revolutionizing personalized care. This NHS initiative enables seamless sharing of care plans among healthcare professionals, ensuring that patients receive timely and appropriate care. With a focus on long-term conditions like dementia and sickle cell disease, the UCP empowers patients to view and contribute to their care plans via the NHS App. As we shift towards preventive care, the UCP exemplifies how digital solutions can enhance patient outcomes and streamline healthcare delivery. nn#HealthcareIT #DigitalHealth #PatientCare #NHS #HealthTech #CareCoordination #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 703, "completion_tokens": 134, "total_tokens": 837, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 703 |
NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographsnpj Digital Medicine - (Thursday September 25, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Deep learning has proven to be an excellent tool for interpreting medical images in adults and children. However, it is still underdeveloped for neonates. This study developed NeoCLIP, a novel deep contrastive learning model... Introducing NeoCLIP, a groundbreaking self-supervised model designed for interpreting neonatal radiographs. This innovative deep learning model, developed from a dataset of 20,154 radiographs, achieved superior performance in identifying neonatal pathologies and medical devices compared to existing adult models. With a focus on enhancing diagnostic accuracy in critical care, NeoCLIP demonstrates the potential to transform neonatal imaging by providing timely insights that support clinical decision-making. This research underscores the importance of tailored AI solutions in pediatric healthcare, paving the way for improved outcomes in vulnerable populations.#HealthcareIT #AIinHealthcare #Neonatology #DeepLearning #MedicalImaging #Radiology #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJQeVIiBuxJjYBCqnrhPezClrEfLx", "object": "chat.completion", "created": 1758746719, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Introducing NeoCLIP, a groundbreaking self-supervised model designed for interpreting neonatal radiographs. This innovative deep learning model, developed from a dataset of 20,154 radiographs, achieved superior performance in identifying neonatal pathologies and medical devices compared to existing adult models. With a focus on enhancing diagnostic accuracy in critical care, NeoCLIP demonstrates the potential to transform neonatal imaging by providing timely insights that support clinical decision-making. This research underscores the importance of tailored AI solutions in pediatric healthcare, paving the way for improved outcomes in vulnerable populations. nn#HealthcareIT #AIinHealthcare #Neonatology #DeepLearning #MedicalImaging #Radiology #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 21986, "completion_tokens": 133, "total_tokens": 22119, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 21986 |
Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profilingnpj Digital Medicine - (Thursday September 25, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | We developed a deep residual network (ResNet) framework to classify thyroid cancer differentiation states by integrating multiomic data and interpretability analysis. Our framework incorporated untargeted metabolomic, whole-exome sequencing, and transcriptomic data from 158 thyroid... Exciting advancements in thyroid cancer diagnostics! Our research introduces a deep residual network (ResNet) framework that integrates multiomic data to classify thyroid cancer differentiation states. By analyzing metabolomic, transcriptomic, and genomic data from 215 samples, we established a robust classification model with a 10-gene metabolic signature. This innovative approach not only enhances diagnostic accuracy but also provides insights into metabolic shifts driving cancer progression. Our findings pave the way for improved clinical decision-making and early diagnosis in thyroid cancer management.#HealthcareIT #CancerResearch #MachineLearning #PrecisionMedicine #ThyroidCancer #AIinHealthcare #Metabolomics As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJQdJGOZG2W3HQoP39kRV1Rdv7OXx", "object": "chat.completion", "created": 1758746645, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in thyroid cancer diagnostics! Our research introduces a deep residual network (ResNet) framework that integrates multiomic data to classify thyroid cancer differentiation states. By analyzing metabolomic, transcriptomic, and genomic data from 215 samples, we established a robust classification model with a 10-gene metabolic signature. This innovative approach not only enhances diagnostic accuracy but also provides insights into metabolic shifts driving cancer progression. Our findings pave the way for improved clinical decision-making and early diagnosis in thyroid cancer management. nn#HealthcareIT #CancerResearch #MachineLearning #PrecisionMedicine #ThyroidCancer #AIinHealthcare #Metabolomics", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 33535, "completion_tokens": 126, "total_tokens": 33661, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 33535 |
Relationship Between Activity Tracker Metrics and the Physical Activity Index and Their Association With Cardiometabolic Phenotypes, Subclinical Atherosclerosis, and Cardiac Remodeling: Cross-Sectional StudyJMIR mHealth and uHealth - (Wednesday September 24, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
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| Background: Consumer wearable technology quantifies physical activity; however, the association between these metrics and cardiometabolic health requires further elucidation. Objective: This study identified latent factors derived from Fitbit heart rate metrics and their relationship... Consumer wearables like Fitbit provide valuable insights into physical activity, yet their relationship with cardiometabolic health remains underexplored. A recent study involving 457 participants revealed that higher self-reported Physical Activity Index (PAI) correlates with increased calories burned, steps, and active minutes. Notably, total activity metrics showed strong associations with improved lipid profiles and cardiac remodeling, while elevated metabolic equivalents of task (METs) did not demonstrate significant cardiovascular benefits. These findings underscore the importance of total activity metrics in assessing health outcomes, highlighting their potential in healthcare IT applications. #HealthTech #WearableTechnology #CardiometabolicHealth #DataAnalytics #Fitbit #Cardiology #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJQmjxNKmtpvLw3JZ4IYK6WhoDYPp", "object": "chat.completion", "created": 1758747229, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Consumer wearables like Fitbit provide valuable insights into physical activity, yet their relationship with cardiometabolic health remains underexplored. A recent study involving 457 participants revealed that higher self-reported Physical Activity Index (PAI) correlates with increased calories burned, steps, and active minutes. Notably, total activity metrics showed strong associations with improved lipid profiles and cardiac remodeling, while elevated metabolic equivalents of task (METs) did not demonstrate significant cardiovascular benefits. These findings underscore the importance of total activity metrics in assessing health outcomes, highlighting their potential in healthcare IT applications. #HealthTech #WearableTechnology #CardiometabolicHealth #DataAnalytics #Fitbit #Cardiology #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 821, "completion_tokens": 139, "total_tokens": 960, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 821 |
Impact of a 24-Week Mobile App–Based Human Coaching Program on Body Composition and Lipid Metabolism in Breast Cancer Survivors With Overweight or Obesity: Single-Arm Prospective Cohort StudyJMIR mHealth and uHealth - (Wednesday September 24, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Overweight or obesity is a prognostic factor for breast cancer recurrence and breast cancer-related deaths. However, weight control is difficult for breast cancer survivors because of menopause, chemotherapy, anti-hormonal therapy, and psychological issues.... A groundbreaking study reveals the efficacy of a 24-week mobile app-based coaching program for breast cancer survivors facing overweight and obesity challenges. Utilizing Noom, the program combined diet, exercise, and psychological support, resulting in significant reductions in body weight and BMI among participants. With a completion rate of 77.7% at 6 months and 71.5% at 12 months, this initiative highlights the potential of digital health solutions in improving outcomes for this vulnerable population. As healthcare IT professionals, we must explore innovative approaches like these to enhance patient care and support survivorship. #DigitalHealth #BreastCancer #HealthTech #MobileHealth #PatientEngagement #ObesityManagement #HealthcareInnovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CJQl4Ml8H1Xp80AUlAvMtxSBNBd64", "object": "chat.completion", "created": 1758747126, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A groundbreaking study reveals the efficacy of a 24-week mobile app-based coaching program for breast cancer survivors facing overweight and obesity challenges. Utilizing Noom, the program combined diet, exercise, and psychological support, resulting in significant reductions in body weight and BMI among participants. With a completion rate of 77.7% at 6 months and 71.5% at 12 months, this initiative highlights the potential of digital health solutions in improving outcomes for this vulnerable population. As healthcare IT professionals, we must explore innovative approaches like these to enhance patient care and support survivorship. #DigitalHealth #BreastCancer #HealthTech #MobileHealth #PatientEngagement #ObesityManagement #HealthcareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 521, "completion_tokens": 140, "total_tokens": 661, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_560af6e559" } Prompt Tokens - 521 |









