ChatGPT Summaries
Electronic communication failures lead to patient harm, finds reportDigital Health - (Monday July 21, 2025) - Digital Health/ Frequent Updates | |
![]() | A report from the Health Services Safety Investigations Bureau (HSSIB) has found that patients are coming to harm due to failures in the electronic communication of critical clinical information following hospital discharge. The investigation,... A recent report by the Health Services Safety Investigations Bureau highlights alarming failures in electronic communication that compromise patient safety post-discharge. Incomplete or delayed information about diagnoses and follow-up care can lead to severe consequences, including fatalities. Key issues stem from poor discharge planning, lack of integration across care systems, and inadequate IT configurations. The HSSIB calls for stronger oversight and better collaboration among healthcare providers to ensure reliable communication. As we move towards a more digital NHS, it's crucial to prioritize seamless information transfer to enhance patient care and safety. #HealthIT #PatientSafety #DigitalHealth #NHS #CareContinuity #HealthcareInnovation #EHR 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-Bvh2bbFWbEjUa4SBdparg4QaWZrW8", "object": "chat.completion", "created": 1753089845, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent report by the Health Services Safety Investigations Bureau highlights alarming failures in electronic communication that compromise patient safety post-discharge. Incomplete or delayed information about diagnoses and follow-up care can lead to severe consequences, including fatalities. Key issues stem from poor discharge planning, lack of integration across care systems, and inadequate IT configurations. The HSSIB calls for stronger oversight and better collaboration among healthcare providers to ensure reliable communication. As we move towards a more digital NHS, it's crucial to prioritize seamless information transfer to enhance patient care and safety. #HealthIT #PatientSafety #DigitalHealth #NHS #CareContinuity #HealthcareInnovation #EHR", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 739, "completion_tokens": 129, "total_tokens": 868, "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": null } Prompt Tokens - 739 |
Syndromic Monitoring Gives Public Health Teams a Head Start on EmergenciesHIT Consultant - (Monday July 21, 2025) - Frequent Updates/ HIT Consultant | |
![]() | Joe Graw , Chief Growth Officer at ImageTrendFrom Buzzword to Lifesaver Once dismissed as another healthcare buzzword, syndromic monitoring has proven its value in real-world scenarios. At its core, it captures early health signals—like symptom... Syndromic monitoring has evolved from a buzzword to a crucial tool for public health, enabling rapid response to emerging health crises. By capturing early health signals in real time—such as symptom trends and EMS reports—public health teams can act swiftly, preventing overcrowding and saving lives. This proactive approach allows for timely interventions during heat waves, opioid surges, and mental health crises. With user-friendly platforms, agencies can harness actionable intelligence without needing advanced data skills. Embracing syndromic monitoring transforms public health from reactive to proactive, ensuring communities are better protected.#PublicHealth #SyndromicMonitoring #HealthIT #DataDriven #EmergencyResponse #HealthcareInnovation #ProactiveHealthcare 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-BveFMqLMIQrV5bUAwNxMRmkfYVzkS", "object": "chat.completion", "created": 1753079104, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Syndromic monitoring has evolved from a buzzword to a crucial tool for public health, enabling rapid response to emerging health crises. By capturing early health signals in real time—such as symptom trends and EMS reports—public health teams can act swiftly, preventing overcrowding and saving lives. This proactive approach allows for timely interventions during heat waves, opioid surges, and mental health crises. With user-friendly platforms, agencies can harness actionable intelligence without needing advanced data skills. Embracing syndromic monitoring transforms public health from reactive to proactive, ensuring communities are better protected. nn#PublicHealth #SyndromicMonitoring #HealthIT #DataDriven #EmergencyResponse #HealthcareInnovation #ProactiveHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1126, "completion_tokens": 141, "total_tokens": 1267, "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": null } Prompt Tokens - 1126 |
Healthcare Cybersecurity to Safeguard PHI and Avoid Data BreachesHIT Consultant - (Monday July 21, 2025) - Frequent Updates/ HIT Consultant | |
![]() | Yair Cohen co-founder and VP product, SentraHealthcare data breaches continue to grow in volume and impact. According to the HIPAA Journal, more than 276 million individuals had their Protected Health Information (PHI) exposed or stolen... In 2024, healthcare data breaches exposed over 276 million individuals' PHI, highlighting the sector's vulnerabilities. To combat this, organizations must prioritize real-time data visibility, identity-based access controls, and continuous threat monitoring. Compliance with regulations like HIPAA, HITRUST, and HITECH is essential for safeguarding sensitive information. As healthcare leaders navigate regulatory complexities, leveraging advanced Data Security Posture Management (DSPM) tools can streamline compliance and enhance security. By adopting proactive measures, we can protect patient privacy while fostering innovation in healthcare IT.#HealthcareIT #Cybersecurity #DataProtection #HIPAA #Compliance #HealthTech #DataSecurity 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-BveEP2TykbAqQOpxxtR1BQLipiooK", "object": "chat.completion", "created": 1753079045, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In 2024, healthcare data breaches exposed over 276 million individuals' PHI, highlighting the sector's vulnerabilities. To combat this, organizations must prioritize real-time data visibility, identity-based access controls, and continuous threat monitoring. Compliance with regulations like HIPAA, HITRUST, and HITECH is essential for safeguarding sensitive information. As healthcare leaders navigate regulatory complexities, leveraging advanced Data Security Posture Management (DSPM) tools can streamline compliance and enhance security. By adopting proactive measures, we can protect patient privacy while fostering innovation in healthcare IT. nn#HealthcareIT #Cybersecurity #DataProtection #HIPAA #Compliance #HealthTech #DataSecurity", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1290, "completion_tokens": 132, "total_tokens": 1422, "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": null } Prompt Tokens - 1290 |
Monday Morning Update 7/21/25HIStalk - (Sunday July 20, 2025) - Daily Reads/ HIStalk | |
![]() | Top NewsHumana integrates its health plan information with Epic, which allows patients to track deductibles and access health plan resources from their provider’s MyChart.Reader CommentsFrom Guillermo: “Re: pharma telehealth. At least the clinicians... In this week's Monday Morning Update, Humana's integration with Epic enhances patient access to health plan resources via MyChart. A poll reveals strong preferences for limited federal intervention in patient records. The health IT market shows resilience amid economic volatility, with promising IPOs on the horizon. Meanwhile, a Texas law mandates strict EHR data storage regulations and AI usage guidelines. Notably, a study highlights the effectiveness of AI symptom checkers compared to clinicians, sparking debate on technology's role in patient care. As we navigate these changes, the focus remains on improving patient trust and operational efficiency. #HealthIT #EHR #Telehealth #PatientCare #AIinHealthcare #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. { "id": "chatcmpl-BvQpRRBhCTH8HIXaCvsE6mt8KqbJ5", "object": "chat.completion", "created": 1753027525, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In this week's Monday Morning Update, Humana's integration with Epic enhances patient access to health plan resources via MyChart. A poll reveals strong preferences for limited federal intervention in patient records. The health IT market shows resilience amid economic volatility, with promising IPOs on the horizon. Meanwhile, a Texas law mandates strict EHR data storage regulations and AI usage guidelines. Notably, a study highlights the effectiveness of AI symptom checkers compared to clinicians, sparking debate on technology's role in patient care. As we navigate these changes, the focus remains on improving patient trust and operational efficiency. #HealthIT #EHR #Telehealth #PatientCare #AIinHealthcare #DigitalHealth #HealthcareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1832, "completion_tokens": 139, "total_tokens": 1971, "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": null } Prompt Tokens - 1832 |
An end-to-end multifunctional AI platform for intraoperative diagnosisnpj Digital Medicine - (Sunday July 20, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Intraoperative frozen section diagnosis provides essential, real-time histological insights to guide surgical decisions. However, the quality of these time-sensitive sections is often suboptimal, posing significant diagnostic challenges for pathologists. To address these limitations, we... Exciting advancements in intraoperative diagnostics! The GAS platform leverages AI to enhance frozen section quality through three integrated modules: Generation, Assessment, and Support. By utilizing over 6,700 whole slide images, GAS transforms frozen sections into high-quality, FFPE-like images, significantly improving diagnostic confidence for pathologists. This end-to-end solution not only addresses time-sensitive challenges but also establishes a new paradigm for AI integration in clinical workflows. As we continue to innovate, the potential for enhanced diagnostic accuracy in surgical pathology is immense!#HealthcareIT #DigitalPathology #ArtificialIntelligence #MachineLearning #IntraoperativeDiagnosis #Innovation #Pathology 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-BvI8IMaqn24gXNhX73CqfpCAC7jLJ", "object": "chat.completion", "created": 1752994098, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in intraoperative diagnostics! The GAS platform leverages AI to enhance frozen section quality through three integrated modules: Generation, Assessment, and Support. By utilizing over 6,700 whole slide images, GAS transforms frozen sections into high-quality, FFPE-like images, significantly improving diagnostic confidence for pathologists. This end-to-end solution not only addresses time-sensitive challenges but also establishes a new paradigm for AI integration in clinical workflows. As we continue to innovate, the potential for enhanced diagnostic accuracy in surgical pathology is immense! nn#HealthcareIT #DigitalPathology #ArtificialIntelligence #MachineLearning #IntraoperativeDiagnosis #Innovation #Pathology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26855, "completion_tokens": 130, "total_tokens": 26985, "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": null } Prompt Tokens - 26855 |
Emerging Concepts in Breast Augmentation with Implants: A Paradigm ShifteHealth Radio Network - (Sunday July 20, 2025) - eHealth Radio Network/ Podcasts | |
![]() | Dr. Scott A. Spiro, MD, FACS, a board-certified plastic surgeon based in West Orange, New Jersey, returns to eHealth Radio & the Plastic Surgery Information Channel to discuss breast augmentation using implants—especially the emerging... In a transformative discussion, Dr. Scott A. Spiro explores the evolving landscape of breast augmentation, focusing on the shift towards pre-pectoral and sub-fascial techniques. With over two decades of experience, he highlights how modern implant technology, patient lifestyles, and aesthetic goals are reshaping the procedure. Key topics include the benefits of highly cohesive implants, the impact of gravity on aesthetics, and the role of absorbable meshes in enhancing outcomes. This paradigm shift promises improved results and greater patient satisfaction in cosmetic surgery.#BreastAugmentation #PlasticSurgery #HealthcareIT #CosmeticSurgery #PatientCare #MedicalInnovation #AestheticMedicine 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-BvFG0uMZqQ3sBTx9Ttsuvf20sutIX", "object": "chat.completion", "created": 1752983044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a transformative discussion, Dr. Scott A. Spiro explores the evolving landscape of breast augmentation, focusing on the shift towards pre-pectoral and sub-fascial techniques. With over two decades of experience, he highlights how modern implant technology, patient lifestyles, and aesthetic goals are reshaping the procedure. Key topics include the benefits of highly cohesive implants, the impact of gravity on aesthetics, and the role of absorbable meshes in enhancing outcomes. This paradigm shift promises improved results and greater patient satisfaction in cosmetic surgery. nn#BreastAugmentation #PlasticSurgery #HealthcareIT #CosmeticSurgery #PatientCare #MedicalInnovation #AestheticMedicine", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 826, "completion_tokens": 132, "total_tokens": 958, "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": null } Prompt Tokens - 826 |
Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generatorsnpj Digital Medicine - (Saturday July 19, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | The wide usage of artificial intelligence (AI) text-to-image generators raises concerns about the role of AI in amplifying misconceptions in healthcare. This study therefore evaluated the demographic accuracy and potential biases in the depiction... Artificial intelligence (AI) text-to-image generators are increasingly used in healthcare, yet they often misrepresent demographic characteristics of patients. A recent study evaluated 9,060 AI-generated images across four platforms, revealing significant inaccuracies in sex, age, and race representation. Notably, there was an over-representation of White and normal-weight individuals, raising concerns about AI amplifying healthcare biases. These findings underscore the necessity for improved training data and bias mitigation strategies to ensure accurate depictions in medical contexts. As we harness AI's potential, addressing these biases is crucial for equitable healthcare representation. #HealthcareIT #AI #BiasInAI #DigitalHealth #MedicalEthics #HealthEquity #DataRepresentation 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-BuyDWZ5evxtiLSOJhFd6sgtvzWilu", "object": "chat.completion", "created": 1752917542, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Artificial intelligence (AI) text-to-image generators are increasingly used in healthcare, yet they often misrepresent demographic characteristics of patients. A recent study evaluated 9,060 AI-generated images across four platforms, revealing significant inaccuracies in sex, age, and race representation. Notably, there was an over-representation of White and normal-weight individuals, raising concerns about AI amplifying healthcare biases. These findings underscore the necessity for improved training data and bias mitigation strategies to ensure accurate depictions in medical contexts. As we harness AI's potential, addressing these biases is crucial for equitable healthcare representation. #HealthcareIT #AI #BiasInAI #DigitalHealth #MedicalEthics #HealthEquity #DataRepresentation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 30015, "completion_tokens": 139, "total_tokens": 30154, "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": null } Prompt Tokens - 30015 |
A randomized controlled trial of a digital cognitive behavioral therapy for insomnia for older adultsnpj Digital Medicine - (Saturday July 19, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Older adults with insomnia face considerable challenges accessing treatment given limited availability to first-line therapy (Cognitive-Behavioral Therapy for Insomnia, CBT-I). This study evaluated the efficacy of Sleep Healthy Using the Internet for Older Adults... A recent randomized controlled trial evaluated the effectiveness of SHUTi OASIS, a digital cognitive behavioral therapy for insomnia tailored for older adults. The study involved 311 participants aged 55-95, revealing significant improvements in insomnia severity and related metrics compared to traditional patient education. Notably, those using SHUTi OASIS experienced higher rates of insomnia remission and reduced reliance on sleep medications. This research underscores the potential of digital interventions to enhance access to effective insomnia treatment for older populations, addressing a critical healthcare gap.#DigitalHealth #CBT #Insomnia #ElderlyCare #HealthcareIT #MentalHealth #Telemedicine 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-ButDmZ4QlIG9No0jZjv8jjQHSuDpc", "object": "chat.completion", "created": 1752898338, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent randomized controlled trial evaluated the effectiveness of SHUTi OASIS, a digital cognitive behavioral therapy for insomnia tailored for older adults. The study involved 311 participants aged 55-95, revealing significant improvements in insomnia severity and related metrics compared to traditional patient education. Notably, those using SHUTi OASIS experienced higher rates of insomnia remission and reduced reliance on sleep medications. This research underscores the potential of digital interventions to enhance access to effective insomnia treatment for older populations, addressing a critical healthcare gap. nn#DigitalHealth #CBT #Insomnia #ElderlyCare #HealthcareIT #MentalHealth #Telemedicine", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26332, "completion_tokens": 128, "total_tokens": 26460, "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": null } Prompt Tokens - 26332 |
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithmnpj Digital Medicine - (Saturday July 19, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm... Exciting advancements in healthcare analytics are here! The Collaborative One-shot Lossless Algorithm for Generalized Linear Mixed Models (COLA-GLMM) revolutionizes multi-site studies by enabling lossless data analysis with just one round of communication. This innovative approach not only preserves patient privacy but also enhances efficiency in identifying critical health risk factors, as demonstrated in COVID-19 research. By addressing the challenges of decentralized data environments, COLA-GLMM paves the way for scalable, accurate, and privacy-preserving healthcare research.#HealthIT #DataPrivacy #MachineLearning #HealthcareAnalytics #ClinicalResearch #FederatedLearning #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-Buqf5sq7Oy2fgEQhELkqFxHbDyvEa", "object": "chat.completion", "created": 1752888499, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare analytics are here! The Collaborative One-shot Lossless Algorithm for Generalized Linear Mixed Models (COLA-GLMM) revolutionizes multi-site studies by enabling lossless data analysis with just one round of communication. This innovative approach not only preserves patient privacy but also enhances efficiency in identifying critical health risk factors, as demonstrated in COVID-19 research. By addressing the challenges of decentralized data environments, COLA-GLMM paves the way for scalable, accurate, and privacy-preserving healthcare research. nn#HealthIT #DataPrivacy #MachineLearning #HealthcareAnalytics #ClinicalResearch #FederatedLearning #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 30506, "completion_tokens": 128, "total_tokens": 30634, "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": null } Prompt Tokens - 30506 |
Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT modelnpj Digital Medicine - (Saturday July 19, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Artificial intelligence applications in liver pathology remain limited, with existing tools either narrowly focused or lacking external validation. This study introduces HOTSPoT, an open-source, validated transformer-based model for automated segmentation of portal tracts in... Exciting advancements in liver pathology! The HOTSPoT model is an open-source, transformer-based tool designed for the automated segmentation of portal tracts in liver biopsy images. With a robust validation across a multi-institutional dataset of 223 cases, it achieved impressive Dice scores of 0.92 and 0.91, demonstrating its reliability. This innovation not only enhances the accuracy of portal tract quantification but also shows strong correlation with fibrosis stages. Such tools can significantly improve pathology research and diagnostics.#HealthTech #DigitalPathology #AIinHealthcare #OpenSource #MedicalInnovation #LiverHealth #PathologyResearch 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-BulgNQuM6zw7ua4BYgWTzBRKaAOFC", "object": "chat.completion", "created": 1752869359, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in liver pathology! The HOTSPoT model is an open-source, transformer-based tool designed for the automated segmentation of portal tracts in liver biopsy images. With a robust validation across a multi-institutional dataset of 223 cases, it achieved impressive Dice scores of 0.92 and 0.91, demonstrating its reliability. This innovation not only enhances the accuracy of portal tract quantification but also shows strong correlation with fibrosis stages. Such tools can significantly improve pathology research and diagnostics. nn#HealthTech #DigitalPathology #AIinHealthcare #OpenSource #MedicalInnovation #LiverHealth #PathologyResearch", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11876, "completion_tokens": 128, "total_tokens": 12004, "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": null } Prompt Tokens - 11876 |










