ChatGPT Summaries

Prostate cancer (PCa) is one of the most common types of cancer, seriously affecting adult male health. Accurate and automated PCa segmentation is essential for radiologists to confirm the location of cancer, evaluate its...

Exciting advancements in prostate cancer diagnostics! The new study introduces PCaSAM, a fully automated model that significantly enhances prostate cancer segmentation from multi-modal MRI images. By integrating various imaging modalities, PCaSAM outperforms existing models, achieving an impressive average DSC of 0.721. It also improves PI-RADS scoring, boosting AUC by 8.3-8.9%. This innovation not only streamlines the diagnostic process but also holds promise for real-world clinical applications, making it a game-changer in personalized oncology.#HealthcareIT #MedicalImaging #AIinHealthcare #ProstateCancer #DeepLearning #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bjijixih9ZZ2hfndhfhRqg2hKHPoG", "object": "chat.completion", "created": 1750236426, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in prostate cancer diagnostics! The new study introduces PCaSAM, a fully automated model that significantly enhances prostate cancer segmentation from multi-modal MRI images. By integrating various imaging modalities, PCaSAM outperforms existing models, achieving an impressive average DSC of 0.721. It also improves PI-RADS scoring, boosting AUC by 8.3-8.9%. This innovation not only streamlines the diagnostic process but also holds promise for real-world clinical applications, making it a game-changer in personalized oncology. nn#HealthcareIT #MedicalImaging #AIinHealthcare #ProstateCancer #DeepLearning #Radiology #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27611, "completion_tokens": 133, "total_tokens": 27744, "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_34a54ae93c" }

Prompt Tokens - 27611
Completion Tokens - 133
Total Tokens - 27744

The public do not want all health and care professionals to have full access to a single patient record (SPR) and would prefer a tiered system of access, according to government research. NHS England and...

The recent government research highlights a public preference for a tiered access system for the Single Patient Record (SPR), emphasizing efficiency and improved care while maintaining trust. Participants expressed the need for restricted access based on urgency and care responsibilities, rejecting full access for all health professionals. Key recommendations include implementing an audit trail, ensuring rigorous training in data security, and prioritizing patient access. This approach aims to alleviate frustrations and enhance data management across health settings. The SPR is poised to be a transformative solution, but transparency and patient involvement are crucial for its success.#HealthcareIT #PatientData #DigitalHealth #HealthTech #DataSecurity #NHS #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BjibBQITagkMT81U7Lk0ulsenQYXj", "object": "chat.completion", "created": 1750235897, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The recent government research highlights a public preference for a tiered access system for the Single Patient Record (SPR), emphasizing efficiency and improved care while maintaining trust. Participants expressed the need for restricted access based on urgency and care responsibilities, rejecting full access for all health professionals. Key recommendations include implementing an audit trail, ensuring rigorous training in data security, and prioritizing patient access. This approach aims to alleviate frustrations and enhance data management across health settings. The SPR is poised to be a transformative solution, but transparency and patient involvement are crucial for its success. nn#HealthcareIT #PatientData #DigitalHealth #HealthTech #DataSecurity #NHS #HealthCareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 747, "completion_tokens": 132, "total_tokens": 879, "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_34a54ae93c" }

Prompt Tokens - 747
Completion Tokens - 132
Total Tokens - 879

Noah Nasser, CEO at datmaIn today’s precision medicine landscape, pharmaceutical companies and access teams face a critical challenge: understanding not just whether therapies work, but how they are accessed, adopted, and experienced by real-world...

In the evolving landscape of precision medicine, relying solely on claims data leaves significant gaps in understanding the patient journey. While claims data offers a standardized view of healthcare utilization, it often misses critical diagnostic details and the nuances of clinical decision-making. To enhance therapy adoption and market access strategies, stakeholders must integrate structured molecular insights with traditional data sources. Federated data models can bridge these gaps, providing a comprehensive view of patient care pathways. This integrated approach is essential for ensuring timely access to innovative therapies, ultimately improving patient outcomes.#HealthcareIT #PrecisionMedicine #RealWorldEvidence #DataAnalytics #MarketAccess #PatientJourney #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-BjhphpV0NGvRzSsmpyhS85fWKATUa", "object": "chat.completion", "created": 1750232953, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of precision medicine, relying solely on claims data leaves significant gaps in understanding the patient journey. While claims data offers a standardized view of healthcare utilization, it often misses critical diagnostic details and the nuances of clinical decision-making. To enhance therapy adoption and market access strategies, stakeholders must integrate structured molecular insights with traditional data sources. Federated data models can bridge these gaps, providing a comprehensive view of patient care pathways. This integrated approach is essential for ensuring timely access to innovative therapies, ultimately improving patient outcomes. nn#HealthcareIT #PrecisionMedicine #RealWorldEvidence #DataAnalytics #MarketAccess #PatientJourney #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1309, "completion_tokens": 126, "total_tokens": 1435, "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_34a54ae93c" }

Prompt Tokens - 1309
Completion Tokens - 126
Total Tokens - 1435

Gretchen Zimmermann, MBA, RD, VP of Clinical Strategy at Vida HealthThe false belief that people with obesity do not have eating disorders is one of the most harmful misconceptions in obesity care. In reality,...

The intersection of obesity and eating disorders is often overlooked, with many believing that individuals with obesity cannot have eating disorders. However, the prevalence of conditions like Binge Eating Disorder (BED) and Night Eating Syndrome (NES) is alarmingly high among those seeking weight loss. As GLP-1 therapies gain popularity, it’s crucial to address the potential exacerbation of disordered eating patterns. A multi-disciplinary, patient-centered approach that integrates behavioral health, nutrition, and physical health support is essential for sustainable obesity treatment. Prioritizing mental and emotional well-being alongside weight loss can foster healthier relationships with food. #HealthcareIT #ObesityCare #MentalHealth #EatingDisorders #GLP1 #PatientCare #Nutrition

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-BjholIrToohCJ5K7dkzwbSZtdsUI2", "object": "chat.completion", "created": 1750232895, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The intersection of obesity and eating disorders is often overlooked, with many believing that individuals with obesity cannot have eating disorders. However, the prevalence of conditions like Binge Eating Disorder (BED) and Night Eating Syndrome (NES) is alarmingly high among those seeking weight loss. As GLP-1 therapies gain popularity, it’s crucial to address the potential exacerbation of disordered eating patterns. A multi-disciplinary, patient-centered approach that integrates behavioral health, nutrition, and physical health support is essential for sustainable obesity treatment. Prioritizing mental and emotional well-being alongside weight loss can foster healthier relationships with food. #HealthcareIT #ObesityCare #MentalHealth #EatingDisorders #GLP1 #PatientCare #Nutrition", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1750, "completion_tokens": 144, "total_tokens": 1894, "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_34a54ae93c" }

Prompt Tokens - 1750
Completion Tokens - 144
Total Tokens - 1894

What does it take for a private hospital group to become a blueprint for national health system digital maturity? At the upcoming HIMSS25 Asia-Pacific (APAC) Conference in July, Dr Kun-Ju Lin, deputy chief of Chang...

At HIMSS25 APAC, Dr. Kun-Ju Lin of Chang Gung Memorial Hospital will discuss how to lead health system-level IT redesign for digital maturity. With back-to-back Stage 7 validations, CGMH exemplifies innovation through clinician-led initiatives. Dr. Lin emphasizes that technology must serve healthcare professionals, fostering efficiency and empowerment. Their commitment to creativity and collaboration has positioned CGMH at the forefront of Taiwan’s National Smart Hospital Initiative, focusing on scalable AI ecosystems and integrated care pathways. Attendees can expect actionable insights on selecting impactful digital tools and engaging clinicians in transformation efforts.#HealthIT #DigitalTransformation #AIinHealthcare #HIMSS25 #HealthcareInnovation #SmartHospitals #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BjedO1RmEf3MLapDLjaPcuONLWz9w", "object": "chat.completion", "created": 1750220658, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "At HIMSS25 APAC, Dr. Kun-Ju Lin of Chang Gung Memorial Hospital will discuss how to lead health system-level IT redesign for digital maturity. With back-to-back Stage 7 validations, CGMH exemplifies innovation through clinician-led initiatives. Dr. Lin emphasizes that technology must serve healthcare professionals, fostering efficiency and empowerment. Their commitment to creativity and collaboration has positioned CGMH at the forefront of Taiwan’s National Smart Hospital Initiative, focusing on scalable AI ecosystems and integrated care pathways. Attendees can expect actionable insights on selecting impactful digital tools and engaging clinicians in transformation efforts. nn#HealthIT #DigitalTransformation #AIinHealthcare #HIMSS25 #HealthcareInnovation #SmartHospitals #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1155, "completion_tokens": 143, "total_tokens": 1298, "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_34a54ae93c" }

Prompt Tokens - 1155
Completion Tokens - 143
Total Tokens - 1298

Melbourne-based startup Lyrebird Health has recently raised $12 million in new funding from a venture round led by Five V Capital and United Kingdom-based Octopus Ventures, with participation from Startmate. Launched in 2023, it offers...

Exciting times for healthcare innovation! Melbourne-based Lyrebird Health has raised $12 million to expand its generative AI-powered clinical documentation tool globally, starting in the UK. This funding will enhance product quality and safety, with a notable partnership already established with Alder Hey Children’s NHS Foundation Trust. As the AI scribe landscape heats up, fellow startup Heidi Health also secured significant funding to advance its capabilities. With integrations into leading EMR systems and partnerships extending to Dubai, Lyrebird is poised to transform healthcare documentation.#HealthTech #AI #DigitalHealth #ClinicalDocumentation #HealthcareInnovation #EMR #Startups

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-BjbZmDa7mTzkHZ5pKGgzOmDSygBSI", "object": "chat.completion", "created": 1750208902, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting times for healthcare innovation! Melbourne-based Lyrebird Health has raised $12 million to expand its generative AI-powered clinical documentation tool globally, starting in the UK. This funding will enhance product quality and safety, with a notable partnership already established with Alder Hey Children’s NHS Foundation Trust. As the AI scribe landscape heats up, fellow startup Heidi Health also secured significant funding to advance its capabilities. With integrations into leading EMR systems and partnerships extending to Dubai, Lyrebird is poised to transform healthcare documentation. nn#HealthTech #AI #DigitalHealth #ClinicalDocumentation #HealthcareInnovation #EMR #Startups", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 469, "completion_tokens": 125, "total_tokens": 594, "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_34a54ae93c" }

Prompt Tokens - 469
Completion Tokens - 125
Total Tokens - 594

A new algorithm-based biological ageing clock developed in Singapore has shown potential to better predict mortality and health outcomes by only using clinical data. Researchers from the National University of Singapore's Yong Loo Lin School...

A groundbreaking biological ageing clock, LinAge2, developed by researchers at NUS Medicine, utilizes clinical data to predict mortality and health outcomes more accurately than existing models. By employing principal component analysis, LinAge2 assesses biological age, focusing on health patterns instead of chronological age. Its findings reveal strong correlations between biological age and functional health, enabling personalized treatment strategies. As the team collaborates with NOVI Health to integrate this tool into clinical practice, the vision is clear: to enhance healthspan through proactive, data-driven approaches.#HealthcareIT #DigitalHealth #AgingResearch #BiologicalAge #PersonalizedMedicine #HealthTech #DataAnalytics

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-BjbYWmRJ8zPSmYcV0EyIPEZLzexKb", "object": "chat.completion", "created": 1750208824, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A groundbreaking biological ageing clock, LinAge2, developed by researchers at NUS Medicine, utilizes clinical data to predict mortality and health outcomes more accurately than existing models. By employing principal component analysis, LinAge2 assesses biological age, focusing on health patterns instead of chronological age. Its findings reveal strong correlations between biological age and functional health, enabling personalized treatment strategies. As the team collaborates with NOVI Health to integrate this tool into clinical practice, the vision is clear: to enhance healthspan through proactive, data-driven approaches. nn#HealthcareIT #DigitalHealth #AgingResearch #BiologicalAge #PersonalizedMedicine #HealthTech #DataAnalytics", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1026, "completion_tokens": 130, "total_tokens": 1156, "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_34a54ae93c" }

Prompt Tokens - 1026
Completion Tokens - 130
Total Tokens - 1156

Top NewsAmbient scribe technology vendor Nabla raises $70 million in a Series C funding round, increasing its total to $120 million. The company will use the money to develop an agentic AI platform that will...

🚀 Exciting developments in healthcare IT! Nabla has secured $70 million in Series C funding, aiming to enhance its ambient scribe technology with an AI platform for real-time coding and smarter EHR documentation. Meanwhile, a new study from Massachusetts General Hospital challenges previous concerns about virtual ADHD prescriptions, emphasizing the importance of in-person evaluations. Additionally, Parkview Health launches UpVia Health to support independent hospitals with virtual care and EHR sharing. As we navigate these changes, the focus on patient engagement and data transparency remains crucial.#HealthTech #AIinHealthcare #Telehealth #EHR #PatientEngagement #DigitalHealth #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BjZgQKG3gbu2x6aHs8PzwFi53bykA", "object": "chat.completion", "created": 1750201626, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting developments in healthcare IT! Nabla has secured $70 million in Series C funding, aiming to enhance its ambient scribe technology with an AI platform for real-time coding and smarter EHR documentation. Meanwhile, a new study from Massachusetts General Hospital challenges previous concerns about virtual ADHD prescriptions, emphasizing the importance of in-person evaluations. Additionally, Parkview Health launches UpVia Health to support independent hospitals with virtual care and EHR sharing. As we navigate these changes, the focus on patient engagement and data transparency remains crucial. nn#HealthTech #AIinHealthcare #Telehealth #EHR #PatientEngagement #DigitalHealth #HealthcareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1342, "completion_tokens": 130, "total_tokens": 1472, "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_34a54ae93c" }

Prompt Tokens - 1342
Completion Tokens - 130
Total Tokens - 1472

It is still challenging to diagnose biliary atresia (BA) in current clinical practice. The study aimed to develop a multimodal model incorporated with uncertainty estimation by integrating sonographic images and clinical information to help...

Exciting advancements in biliary atresia diagnosis! A recent study developed a multimodal deep learning model that integrates sonographic images and clinical parameters, achieving an impressive AUC of 0.941. This model not only enhances diagnostic accuracy but also incorporates uncertainty estimation, improving radiologists' decision-making. By filtering high-uncertainty cases, the model boosts accuracy from 84.6% to 91.5%. This innovation promises to assist both experienced and novice radiologists in clinical settings, making a significant impact on pediatric healthcare.#HealthcareIT #AIinMedicine #Ultrasound #Radiology #MachineLearning #PediatricCare #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-BjYkHsi4KOVKYeidEmYtlvEfV1a4r", "object": "chat.completion", "created": 1750198021, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in biliary atresia diagnosis! A recent study developed a multimodal deep learning model that integrates sonographic images and clinical parameters, achieving an impressive AUC of 0.941. This model not only enhances diagnostic accuracy but also incorporates uncertainty estimation, improving radiologists' decision-making. By filtering high-uncertainty cases, the model boosts accuracy from 84.6% to 91.5%. This innovation promises to assist both experienced and novice radiologists in clinical settings, making a significant impact on pediatric healthcare.nn#HealthcareIT #AIinMedicine #Ultrasound #Radiology #MachineLearning #PediatricCare #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25327, "completion_tokens": 133, "total_tokens": 25460, "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_34a54ae93c" }

Prompt Tokens - 25327
Completion Tokens - 133
Total Tokens - 25460

Sword Health, which touts itself as shifting healthcare from human-first to AI-first through its AI care program, announced it has raised $40 million, bringing its total funding to $380 million and its valuation to...

Sword Health has raised $40 million, boosting its valuation to $4 billion as it transitions to an AI-first healthcare model. Founded by Virgilio Bento, the company specializes in physical therapy for pelvic health and pain management, and is now expanding into mental health with its new offering, Mind. This innovative service combines AI with mental health specialists for 24/7 support, utilizing a proprietary wearable device to detect early signs of depression and anxiety. With plans for global expansion and further AI development, Sword aims to revolutionize care delivery across multiple healthcare verticals. #HealthTech #AIinHealthcare #MentalHealth #DigitalHealth #Innovation #HealthcareIT #Startups

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-BjXoYEd5Hz6Y754ub0ooXiAKQSJ1p", "object": "chat.completion", "created": 1750194442, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Sword Health has raised $40 million, boosting its valuation to $4 billion as it transitions to an AI-first healthcare model. Founded by Virgilio Bento, the company specializes in physical therapy for pelvic health and pain management, and is now expanding into mental health with its new offering, Mind. This innovative service combines AI with mental health specialists for 24/7 support, utilizing a proprietary wearable device to detect early signs of depression and anxiety. With plans for global expansion and further AI development, Sword aims to revolutionize care delivery across multiple healthcare verticals. #HealthTech #AIinHealthcare #MentalHealth #DigitalHealth #Innovation #HealthcareIT #Startups", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 730, "completion_tokens": 132, "total_tokens": 862, "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_34a54ae93c" }

Prompt Tokens - 730
Completion Tokens - 132
Total Tokens - 862