ChatGPT Summaries

Predictive model performance may deteriorate when applied to data sources that were not used for training, thus, external validation is a key step in successful model deployment. As access to patient-level external data sources...

Unlocking the potential of predictive models in healthcare hinges on effective external validation. Our recent benchmarking study demonstrates a novel method that estimates external model performance using limited statistical characteristics from diverse datasets. By leveraging summary statistics, we achieved remarkable accuracy in performance estimations, with 95th percentile errors as low as 0.03 for AUROC. This approach not only streamlines model deployment but also enhances the reliability of predictions across varied patient populations. Embracing such methodologies could significantly accelerate advancements in healthcare analytics.#HealthcareIT #PredictiveAnalytics #MachineLearning #DataScience #HealthTech #ModelValidation #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AuD99zY7Ad7G5cUE4WsViwHBDP2pf", "object": "chat.completion", "created": 1737960267, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of predictive models in healthcare hinges on effective external validation. Our recent benchmarking study demonstrates a novel method that estimates external model performance using limited statistical characteristics from diverse datasets. By leveraging summary statistics, we achieved remarkable accuracy in performance estimations, with 95th percentile errors as low as 0.03 for AUROC. This approach not only streamlines model deployment but also enhances the reliability of predictions across varied patient populations. Embracing such methodologies could significantly accelerate advancements in healthcare analytics. nn#HealthcareIT #PredictiveAnalytics #MachineLearning #DataScience #HealthTech #ModelValidation #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24513, "completion_tokens": 124, "total_tokens": 24637, "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_72ed7ab54c" }

Prompt Tokens - 24513
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In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical tasks. We evaluate nine leading LLMs, e.g., MEDITRON, Llama 3, Mistral,...

Exciting advancements in healthcare AI are here! The recent study introduces MedS-Bench, a benchmark for evaluating large language models (LLMs) in clinical contexts, covering 11 critical tasks. The research reveals that leading models like GPT-4 and Claude-3.5 struggle with complex clinical tasks. To bridge this gap, MedS-Ins, a large-scale instruction-tuning dataset, was developed, comprising 5M instances across 122 tasks. The newly fine-tuned model, MMedIns-Llama 3, outperformed existing models, showcasing the potential of tailored LLMs in medicine. This work sets the stage for future innovations in healthcare AI.#HealthcareAI #MachineLearning #DigitalHealth #MedTech #AIinMedicine #HealthTech #ArtificialIntelligence

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AuD8nJhpRt3oXX0GsDOtz9M4DdQJw", "object": "chat.completion", "created": 1737960245, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare AI are here! The recent study introduces MedS-Bench, a benchmark for evaluating large language models (LLMs) in clinical contexts, covering 11 critical tasks. The research reveals that leading models like GPT-4 and Claude-3.5 struggle with complex clinical tasks. To bridge this gap, MedS-Ins, a large-scale instruction-tuning dataset, was developed, comprising 5M instances across 122 tasks. The newly fine-tuned model, MMedIns-Llama 3, outperformed existing models, showcasing the potential of tailored LLMs in medicine. This work sets the stage for future innovations in healthcare AI. nn#HealthcareAI #MachineLearning #DigitalHealth #MedTech #AIinMedicine #HealthTech #ArtificialIntelligence", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27591, "completion_tokens": 160, "total_tokens": 27751, "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_72ed7ab54c" }

Prompt Tokens - 27591
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This feature episode of Talking HealthTech showcases interviews by Peter Birch from Talking HealthTech and Rebecca McBeth from Health Informatics New Zealand (HiNZ) during the Digital Health Week NZ 2024, hosted by HiNZ.This discussion...

Digital Health Week NZ 2024 showcased vital discussions among healthcare leaders on the transformative power of digital innovation in New Zealand's healthcare landscape. Key topics included the impact of budget reductions, the role of data analytics in enhancing patient outcomes, and the potential of AI to alleviate clinician workloads. Experts emphasized the need for robust clinical informatics and improved digital literacy to navigate challenges effectively. As New Zealand's healthcare system evolves, collaboration and adaptability remain crucial for leveraging technology to ensure efficient and responsive care.#DigitalHealth #HealthcareInnovation #HealthIT #DataAnalytics #AIinHealthcare #ClinicalInformatics #DigitalTransformation

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AuUciBIkIzwfZ3IjMC8MPnkZfOoZ8", "object": "chat.completion", "created": 1738027448, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Digital Health Week NZ 2024 showcased vital discussions among healthcare leaders on the transformative power of digital innovation in New Zealand's healthcare landscape. Key topics included the impact of budget reductions, the role of data analytics in enhancing patient outcomes, and the potential of AI to alleviate clinician workloads. Experts emphasized the need for robust clinical informatics and improved digital literacy to navigate challenges effectively. As New Zealand's healthcare system evolves, collaboration and adaptability remain crucial for leveraging technology to ensure efficient and responsive care. nn#DigitalHealth #HealthcareInnovation #HealthIT #DataAnalytics #AIinHealthcare #ClinicalInformatics #DigitalTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1356, "completion_tokens": 123, "total_tokens": 1479, "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_72ed7ab54c" }

Prompt Tokens - 1356
Completion Tokens - 123
Total Tokens - 1479

In this episode of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner celebrate a significant milestoneepisode 500. They reflect on the podcast's journey and dive into health technologys broader landscape and future.Focusing...

Celebrating 500 episodes of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner reflect on the podcast's journey and the evolving landscape of health technology. They emphasize the importance of storytelling, community, and digital tools like AI and telemedicine in enhancing patient care. With plans for a roadshow to highlight rural healthcare stories and initiatives to foster collaboration, the team is committed to bridging gaps in access and quality. Their mission remains focused on impactful conversations that resonate across diverse audiences in the healthtech space.#HealthTech #DigitalHealth #AI #Telemedicine #HealthcareInnovation #PatientCare #CommunityEngagement

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AvUzlLfIgnr4C9YbA3lJtUPuPW6X0", "object": "chat.completion", "created": 1738267205, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Celebrating 500 episodes of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner reflect on the podcast's journey and the evolving landscape of health technology. They emphasize the importance of storytelling, community, and digital tools like AI and telemedicine in enhancing patient care. With plans for a roadshow to highlight rural healthcare stories and initiatives to foster collaboration, the team is committed to bridging gaps in access and quality. Their mission remains focused on impactful conversations that resonate across diverse audiences in the healthtech space. nn#HealthTech #DigitalHealth #AI #Telemedicine #HealthcareInnovation #PatientCare #CommunityEngagement", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1227, "completion_tokens": 126, "total_tokens": 1353, "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_72ed7ab54c" }

Prompt Tokens - 1227
Completion Tokens - 126
Total Tokens - 1353

Top NewsUnitedHealth Group increases its estimate of individuals impacted by a February 2024 ransomware attack on its Change Healthcare division from 100 million to 190 million, affecting nearly half of all Americans. The company...

🚨 Major cybersecurity incident alert! UnitedHealth Group has revised its estimate of individuals impacted by a February 2024 ransomware attack on Change Healthcare from 100 million to 190 million, affecting nearly half of all Americans. With costs exceeding $3 billion, the breach highlights vulnerabilities in outdated healthcare tech. As we navigate the complexities of healthcare IT, the tension between profit-driven motives and patient care remains critical. Let’s discuss how we can enhance data security and prioritize innovation in our industry. #HealthcareIT #Cybersecurity #DataProtection #HealthTech #Innovation #Ransomware #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Au1HIo255y6S8112qVIrXPJBghYxj", "object": "chat.completion", "created": 1737914644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚨 Major cybersecurity incident alert! UnitedHealth Group has revised its estimate of individuals impacted by a February 2024 ransomware attack on Change Healthcare from 100 million to 190 million, affecting nearly half of all Americans. With costs exceeding $3 billion, the breach highlights vulnerabilities in outdated healthcare tech. As we navigate the complexities of healthcare IT, the tension between profit-driven motives and patient care remains critical. Let’s discuss how we can enhance data security and prioritize innovation in our industry. #HealthcareIT #Cybersecurity #DataProtection #HealthTech #Innovation #Ransomware #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1882, "completion_tokens": 119, "total_tokens": 2001, "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_72ed7ab54c" }

Prompt Tokens - 1882
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Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a...

Exciting advancements in noninvasive intracranial pressure (ICP) estimation are here! A recent study utilized machine learning to analyze pulsatile cranial expansion waveforms, achieving a mean absolute error of just 3.00 mmHg. This innovative approach, leveraging data from 112 neurocritical patients, demonstrates the feasibility of estimating ICP without invasive procedures. With approximately 72% of estimates within 0-4 mmHg of invasive values, this method could revolutionize ICP monitoring in clinical settings. As we continue to explore the integration of AI in healthcare, the potential for improved patient outcomes is immense.#HealthcareIT #MachineLearning #Neuroscience #AIinHealthcare #DigitalHealth #NoninvasiveMonitoring #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Aty9kDpHMC2zU5VhzM5W6klEoLEMs", "object": "chat.completion", "created": 1737902644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in noninvasive intracranial pressure (ICP) estimation are here! A recent study utilized machine learning to analyze pulsatile cranial expansion waveforms, achieving a mean absolute error of just 3.00 mmHg. This innovative approach, leveraging data from 112 neurocritical patients, demonstrates the feasibility of estimating ICP without invasive procedures. With approximately 72% of estimates within 0-4 mmHg of invasive values, this method could revolutionize ICP monitoring in clinical settings. As we continue to explore the integration of AI in healthcare, the potential for improved patient outcomes is immense. nn#HealthcareIT #MachineLearning #Neuroscience #AIinHealthcare #DigitalHealth #NoninvasiveMonitoring #PatientSafety", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26989, "completion_tokens": 148, "total_tokens": 27137, "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_72ed7ab54c" }

Prompt Tokens - 26989
Completion Tokens - 148
Total Tokens - 27137

Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis...

Exciting advancements in AI for healthcare! A multicenter study developed a deep learning model for whole-body tumor identification in neurofibromatosis type 1 (NF1), achieving an impressive accuracy of 85.71% for malignant peripheral nerve sheath tumors (MPNSTs). This innovative approach incorporates contextual information from surrounding tissues, enhancing diagnostic precision. The model's lightweight design allows for practical hospital deployment, paving the way for early detection of various tumors. This research highlights the transformative potential of AI in oncology, particularly for rare diseases.#HealthcareIT #AIinHealthcare #DeepLearning #Oncology #Neurofibromatosis #MedicalImaging #CancerResearch

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtoAOvYv232743mONhNZkHNqqH4u4", "object": "chat.completion", "created": 1737864244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in AI for healthcare! A multicenter study developed a deep learning model for whole-body tumor identification in neurofibromatosis type 1 (NF1), achieving an impressive accuracy of 85.71% for malignant peripheral nerve sheath tumors (MPNSTs). This innovative approach incorporates contextual information from surrounding tissues, enhancing diagnostic precision. The model's lightweight design allows for practical hospital deployment, paving the way for early detection of various tumors. This research highlights the transformative potential of AI in oncology, particularly for rare diseases. nn#HealthcareIT #AIinHealthcare #DeepLearning #Oncology #Neurofibromatosis #MedicalImaging #CancerResearch", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25607, "completion_tokens": 136, "total_tokens": 25743, "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_72ed7ab54c" }

Prompt Tokens - 25607
Completion Tokens - 136
Total Tokens - 25743

 James Marsh, CEO of The SleepVibe, a compact sleep aid that enhances deep sleep without needing headphones or audible sound joins eHealth Radio and the Health News, Sleep Health and Technology Channels.Listen to interview...

Discover how SleepVibe, a groundbreaking compact sleep aid, is transforming sleep health. Founded by James Marsh, who faced personal sleep challenges while caring for a loved one, SleepVibe utilizes Binaural Beats Technology and low-frequency fields to promote deeper, restorative sleep. This innovative solution not only addresses sleep disruptions but also benefits caregivers and anyone struggling with sleep issues. Join the conversation on the importance of sleep for overall well-being and explore how technology can enhance our health.#SleepHealth #HealthcareIT #SleepTechnology #Innovation #PatientCare #HealthTech #Wellness

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtjnQt3dIeiHMFtFPcN57QY1LP53N", "object": "chat.completion", "created": 1737847444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Discover how SleepVibe, a groundbreaking compact sleep aid, is transforming sleep health. Founded by James Marsh, who faced personal sleep challenges while caring for a loved one, SleepVibe utilizes Binaural Beats Technology and low-frequency fields to promote deeper, restorative sleep. This innovative solution not only addresses sleep disruptions but also benefits caregivers and anyone struggling with sleep issues. Join the conversation on the importance of sleep for overall well-being and explore how technology can enhance our health. nn#SleepHealth #HealthcareIT #SleepTechnology #Innovation #PatientCare #HealthTech #Wellness", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 610, "completion_tokens": 116, "total_tokens": 726, "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_72ed7ab54c" }

Prompt Tokens - 610
Completion Tokens - 116
Total Tokens - 726

Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by...

Exciting advancements in sleep medicine are here! The study introduces SleepXViT, an explainable vision transformer that automates sleep staging using multimodal polysomnography (PSG) signals. This innovative approach not only enhances accuracy—achieving an impressive Macro F1 score of 81.94%—but also provides interpretable insights through high-resolution heatmaps and well-calibrated confidence scores. By mimicking human visual scoring, SleepXViT bridges the gap between AI and clinical practice, ensuring reliable and consistent results. This advancement could revolutionize the way we diagnose and treat sleep disorders.#SleepMedicine #AIinHealthcare #MachineLearning #Polysomnography #DigitalHealth #ExplainableAI #HealthTech

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtZBMTC4Fyjd0Wdholv8jQIDbNKhb", "object": "chat.completion", "created": 1737806644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in sleep medicine are here! The study introduces SleepXViT, an explainable vision transformer that automates sleep staging using multimodal polysomnography (PSG) signals. This innovative approach not only enhances accuracy—achieving an impressive Macro F1 score of 81.94%—but also provides interpretable insights through high-resolution heatmaps and well-calibrated confidence scores. By mimicking human visual scoring, SleepXViT bridges the gap between AI and clinical practice, ensuring reliable and consistent results. This advancement could revolutionize the way we diagnose and treat sleep disorders. nn#SleepMedicine #AIinHealthcare #MachineLearning #Polysomnography #DigitalHealth #ExplainableAI #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31831, "completion_tokens": 148, "total_tokens": 31979, "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_72ed7ab54c" }

Prompt Tokens - 31831
Completion Tokens - 148
Total Tokens - 31979

Virtual women’s health company Allara Health has raised $26 million in Series B funding, which it will use to further support women battling chronic hormonal conditions, the company announced on Friday.Allara Health, based in...

Exciting news in women's health! Allara Health has successfully raised $26 million in Series B funding to enhance care for women facing chronic hormonal conditions like PCOS and endometriosis. This innovative virtual health platform combines personalized treatment with ongoing support from a dedicated team of experts. With this funding, Allara aims to expand its services nationwide, addressing the significant gap in women's healthcare. As we witness a shift towards online care, Allara is leading the charge for better access and quality of life for women.#WomensHealth #HealthcareIT #DigitalHealth #PCOS #Endometriosis #Telehealth #HealthEquity

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtNOJZwmdYbYeo0icR6ttehZMwO2b", "object": "chat.completion", "created": 1737761319, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in women's health! Allara Health has successfully raised $26 million in Series B funding to enhance care for women facing chronic hormonal conditions like PCOS and endometriosis. This innovative virtual health platform combines personalized treatment with ongoing support from a dedicated team of experts. With this funding, Allara aims to expand its services nationwide, addressing the significant gap in women's healthcare. As we witness a shift towards online care, Allara is leading the charge for better access and quality of life for women. nn#WomensHealth #HealthcareIT #DigitalHealth #PCOS #Endometriosis #Telehealth #HealthEquity", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 716, "completion_tokens": 127, "total_tokens": 843, "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_72ed7ab54c" }

Prompt Tokens - 716
Completion Tokens - 127
Total Tokens - 843