ChatGPT Summaries
Predicting abnormal fetal growth using deep learningnpj Digital Medicine - (Thursday May 29, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during pregnancy, as being small for gestational age (SGA) or large for gestational age (LGA) poses significant risks for both... Harnessing deep learning to predict abnormal fetal growth marks a significant advancement in prenatal care. A recent study developed a model trained on 433,096 ultrasound images, outperforming traditional methods like the Hadlock formula in detecting both small for gestational age (SGA) and large for gestational age (LGA) fetuses. The model's sensitivity improved by 20% for SGA and 34% for LGA, utilizing anatomical features such as cortical structures and liver texture. This innovative approach not only enhances prediction accuracy but also mitigates demographic biases, paving the way for more effective obstetric management.#HealthcareIT #DeepLearning #AIinHealthcare #FetalHealth #MedicalImaging #Obstetrics #DataScience 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-BcMeTjpfDNw4ATEF8umgjsvSsNdOe", "object": "chat.completion", "created": 1748483237, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing deep learning to predict abnormal fetal growth marks a significant advancement in prenatal care. A recent study developed a model trained on 433,096 ultrasound images, outperforming traditional methods like the Hadlock formula in detecting both small for gestational age (SGA) and large for gestational age (LGA) fetuses. The model's sensitivity improved by 20% for SGA and 34% for LGA, utilizing anatomical features such as cortical structures and liver texture. This innovative approach not only enhances prediction accuracy but also mitigates demographic biases, paving the way for more effective obstetric management. nn#HealthcareIT #DeepLearning #AIinHealthcare #FetalHealth #MedicalImaging #Obstetrics #DataScience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23218, "completion_tokens": 148, "total_tokens": 23366, "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_54eb4bd693" } Prompt Tokens - 23218 |
Qure.ai unveils AI co-pilot for community health workersMobiHealthNews - (Thursday May 29, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Indian medical imaging AI company Qure.ai has developed a new AI-powered co-pilot for optimising resources in resource-constrained primary care settings.Called AIRA, this tool for community health workers is powered by large language models trained... Qure.ai has launched AIRA, an AI-powered co-pilot designed to enhance the efficiency of community health workers in resource-limited settings. By automating patient data collection and supporting clinical protocols, AIRA addresses the critical shortage of healthcare professionals and the overwhelming demand for primary care in low and middle-income countries. With 17 million preventable deaths annually and significant time spent on manual tasks, AIRA aims to free up valuable time for healthcare workers, enabling more patient interactions. This innovation follows the introduction of QureOS, furthering AI adoption in healthcare. #HealthcareIT #AIinHealthcare #CommunityHealth #DigitalHealth #HealthTech #Innovation #PopulationHealth 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-BcLtlYlwHqcGSVq8cupnPwj3sQfLK", "object": "chat.completion", "created": 1748480341, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Qure.ai has launched AIRA, an AI-powered co-pilot designed to enhance the efficiency of community health workers in resource-limited settings. By automating patient data collection and supporting clinical protocols, AIRA addresses the critical shortage of healthcare professionals and the overwhelming demand for primary care in low and middle-income countries. With 17 million preventable deaths annually and significant time spent on manual tasks, AIRA aims to free up valuable time for healthcare workers, enabling more patient interactions. This innovation follows the introduction of QureOS, furthering AI adoption in healthcare. #HealthcareIT #AIinHealthcare #CommunityHealth #DigitalHealth #HealthTech #Innovation #PopulationHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 550, "completion_tokens": 134, "total_tokens": 684, "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 - 550 |
Korean deep learning research predicts coronary artery disease prognosisMobiHealthNews - (Thursday May 29, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | A new deep learning model-based tool developed in South Korea can be used to both diagnose coronary artery disease and predict major adverse cardiac events in emergency cases. HOW IT WORKS Developed by a team of... A groundbreaking deep learning model from South Korea is transforming coronary artery disease (CAD) diagnosis and prognosis. Developed by a collaboration of top hospitals and AI firms, this tool analyzes coronary CT angiography (CCTA) scans to classify stenosis and predict major adverse cardiac events (MACEs) with remarkable accuracy. In a study involving 408 patients, the AI model outperformed traditional risk factors, enhancing MACE prediction by 14%. This innovation underscores the potential of AI as a clinical decision support tool in emergency settings, paving the way for faster and more effective patient care. #HealthcareIT #AIinHealthcare #CoronaryArteryDisease #DeepLearning #ClinicalInnovation #HealthTech #Cardiology 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-BcM1Tq89ewMiFqc0RjPZQGA0km3IA", "object": "chat.completion", "created": 1748480819, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A groundbreaking deep learning model from South Korea is transforming coronary artery disease (CAD) diagnosis and prognosis. Developed by a collaboration of top hospitals and AI firms, this tool analyzes coronary CT angiography (CCTA) scans to classify stenosis and predict major adverse cardiac events (MACEs) with remarkable accuracy. In a study involving 408 patients, the AI model outperformed traditional risk factors, enhancing MACE prediction by 14%. This innovation underscores the potential of AI as a clinical decision support tool in emergency settings, paving the way for faster and more effective patient care. #HealthcareIT #AIinHealthcare #CoronaryArteryDisease #DeepLearning #ClinicalInnovation #HealthTech #Cardiology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 736, "completion_tokens": 140, "total_tokens": 876, "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 - 736 |
Breakthroughs in Back Health: Pioneering Cervical Disk Revision SurgeryeHealth Radio Network - (Thursday May 29, 2025) - eHealth Radio Network/ Podcasts | |
![]() | Dr. Scott Blumenthal, MD, a Spine Surgeon with the Texas Back Institute joins eHealth Radio and the Spinal Health & Health News Channels. Dr. Blumenthal also serves as a clinical assistant professor of orthopedic... Exciting advancements in cervical disk revision surgery are transforming spinal health! Dr. Scott Blumenthal, a pioneer in artificial disc replacement, highlights the critical role of cervical disks in mobility and overall health. He discusses the increasing demand for these surgeries and shares insights on trends in spinal injuries. With his extensive experience and dedication to research, Dr. Blumenthal is shaping the future of spinal arthroplasty. Let’s continue to prioritize innovative solutions for back health!#SpinalHealth #ArtificialDiscReplacement #HealthcareInnovation #OrthopedicSurgery #BackHealth #SpineSurgery #PatientCare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-BcXgfwvNpPZamt6mwqJEeaDIqH0bb", "object": "chat.completion", "created": 1748525657, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in cervical disk revision surgery are transforming spinal health! Dr. Scott Blumenthal, a pioneer in artificial disc replacement, highlights the critical role of cervical disks in mobility and overall health. He discusses the increasing demand for these surgeries and shares insights on trends in spinal injuries. With his extensive experience and dedication to research, Dr. Blumenthal is shaping the future of spinal arthroplasty. Let’s continue to prioritize innovative solutions for back health! nn#SpinalHealth #ArtificialDiscReplacement #HealthcareInnovation #OrthopedicSurgery #BackHealth #SpineSurgery #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 731, "completion_tokens": 121, "total_tokens": 852, "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 - 731 |
Wellstar Health System Launches Lifesaving LVAD Program with Mayo Clinic CollaborationDigital Health Frontier - (Thursday May 29, 2025) - AI/ Daily Reads/ Digital Health Frontier | |
![]() | By John Halamka and Paul Cerrato—Large language models like ChatGPT are finding their way into healthcare, business, and everyday life. The study of mechanistic interpretability may help us create safer, more trustworthy algorithms by... Exciting advancements in cardiac care! Wellstar Health System has launched a groundbreaking left ventricular assist device (LVAD) program in collaboration with the Mayo Clinic, addressing the high heart failure rates in metro Atlanta. This initiative has already saved over 150 lives, providing patients with minimally invasive procedures that enhance recovery and simplify future transplants. By bringing advanced heart care closer to home, Wellstar sets a new standard in the healthcare landscape, showcasing the impact of collaborative expertise.#HealthcareInnovation #CardiacCare #LVAD #PatientOutcomes #MayoClinic #WellstarHealth #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. { "id": "chatcmpl-BcItMYJ8kWkwGeVilDxhpo8VIXsox", "object": "chat.completion", "created": 1748468784, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in cardiac care! Wellstar Health System has launched a groundbreaking left ventricular assist device (LVAD) program in collaboration with the Mayo Clinic, addressing the high heart failure rates in metro Atlanta. This initiative has already saved over 150 lives, providing patients with minimally invasive procedures that enhance recovery and simplify future transplants. By bringing advanced heart care closer to home, Wellstar sets a new standard in the healthcare landscape, showcasing the impact of collaborative expertise. nn#HealthcareInnovation #CardiacCare #LVAD #PatientOutcomes #MayoClinic #WellstarHealth #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 373, "completion_tokens": 119, "total_tokens": 492, "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 - 373 |
Cooper Health System reports data security breachMobiHealthNews - (Wednesday May 28, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Camden, New Jersey-based Cooper Health System was informed of a data security incident that could have impacted data belonging to "certain current and former patients."In a notice posted on its website, the three-hospital Southern... 🚨 Data breaches in healthcare are a growing concern! Cooper Health System recently reported a significant security incident affecting current and former patients. Unauthorized access to personal health information was detected, prompting immediate action and an investigation. Key data potentially compromised includes names, Social Security numbers, and medical records. While Cooper has enhanced security measures and reported the breach to the FBI, the incident underscores the importance of robust cybersecurity in healthcare. As we navigate these challenges, let’s prioritize patient data protection.#HealthIT #Cybersecurity #DataBreach #PatientSafety #HealthcareCompliance #HealthData #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-BcHMacP0zqFjjub8lCCXHMTIvziQ3", "object": "chat.completion", "created": 1748462908, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚨 Data breaches in healthcare are a growing concern! Cooper Health System recently reported a significant security incident affecting current and former patients. Unauthorized access to personal health information was detected, prompting immediate action and an investigation. Key data potentially compromised includes names, Social Security numbers, and medical records. While Cooper has enhanced security measures and reported the breach to the FBI, the incident underscores the importance of robust cybersecurity in healthcare. As we navigate these challenges, let’s prioritize patient data protection. nn#HealthIT #Cybersecurity #DataBreach #PatientSafety #HealthcareCompliance #HealthData #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1075, "completion_tokens": 118, "total_tokens": 1193, "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 - 1075 |
Seasonal timing and interindividual differences in shiftwork adaptationnpj Digital Medicine - (Wednesday May 28, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Millions of shift workers in the U.S. face an increased risk of depression, cancer, and metabolic disease, yet individual responses to shift work vary widely. We find that a conserved biological system of morning... Understanding the interplay between seasonal timing and shift work adaptation is crucial for improving health outcomes among shift workers. A recent study reveals that individual responses to shift work vary significantly, influenced by biological mechanisms tied to seasonal changes. Researchers found that genetic factors, particularly polymorphisms in the SLC20A2 gene, play a role in how quickly circadian rhythms adjust to new schedules. This highlights the importance of personalized strategies for managing shift work to mitigate health risks associated with circadian disruptions.#HealthcareIT #ShiftWork #CircadianRhythms #Genetics #HealthTech #DigitalHealth #WorkplaceWellness 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-BcGv7ugczectjDIdE8bCfZxbCd2vV", "object": "chat.completion", "created": 1748461205, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Understanding the interplay between seasonal timing and shift work adaptation is crucial for improving health outcomes among shift workers. A recent study reveals that individual responses to shift work vary significantly, influenced by biological mechanisms tied to seasonal changes. Researchers found that genetic factors, particularly polymorphisms in the SLC20A2 gene, play a role in how quickly circadian rhythms adjust to new schedules. This highlights the importance of personalized strategies for managing shift work to mitigate health risks associated with circadian disruptions. nn#HealthcareIT #ShiftWork #CircadianRhythms #Genetics #HealthTech #DigitalHealth #WorkplaceWellness", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 32627, "completion_tokens": 123, "total_tokens": 32750, "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 - 32627 |
How Hybrid Cloud Storage Improves Healthcare Costs and SecurityHealthTech Magazine - (Wednesday May 28, 2025) - Frequent Updates/ HealthTech Magazine | |
![]() | The Cost and Security Challenges of Cloud-Only Storage Cloud storage in healthcare has become standard operating procedure, with nearly three-quarters of organizations partnering with multiple public cloud vendors. Data storage systems in the cloud are... Hybrid cloud storage is revolutionizing healthcare by optimizing costs and enhancing data security. By integrating on-premises infrastructure with cloud capabilities, organizations can tailor their storage solutions to meet specific needs while ensuring robust data control. This hybrid approach not only mitigates cybersecurity risks associated with cloud-only strategies but also supports innovation through scalable access to advanced technologies like AI. As the healthcare data storage market grows, adopting a hybrid model is essential for maintaining operational efficiency and resilience against potential outages. Embrace this transformative strategy for a smarter, more secure healthcare future.#HealthcareIT #CloudStorage #DataSecurity #HybridCloud #HealthTech #Innovation #AIinHealthcare 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-BcGnMzotJoC1ZzQPwtR8Ml61TenSA", "object": "chat.completion", "created": 1748460724, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hybrid cloud storage is revolutionizing healthcare by optimizing costs and enhancing data security. By integrating on-premises infrastructure with cloud capabilities, organizations can tailor their storage solutions to meet specific needs while ensuring robust data control. This hybrid approach not only mitigates cybersecurity risks associated with cloud-only strategies but also supports innovation through scalable access to advanced technologies like AI. As the healthcare data storage market grows, adopting a hybrid model is essential for maintaining operational efficiency and resilience against potential outages. Embrace this transformative strategy for a smarter, more secure healthcare future. nn#HealthcareIT #CloudStorage #DataSecurity #HybridCloud #HealthTech #Innovation #AIinHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5967, "completion_tokens": 128, "total_tokens": 6095, "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 - 5967 |
FDA clears Hyperfine’s Optive AI software for brain imagingMobiHealthNews - (Wednesday May 28, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Healthcare technology company Hyperfine announced that the FDA cleared its Optive AI software for its Swoop system, an AI-powered portable MRI system for the brain. The software upgrade marks the tenth-generation release of Optive AI. The... Exciting advancements in healthcare technology! Hyperfine's Optive AI software for the Swoop system has received FDA clearance, marking a significant upgrade in portable brain imaging. This tenth-generation release enhances imaging quality and enables timely diagnoses at the point of care, eliminating the need for patient transport. The collaboration with NVIDIA further strengthens this innovation, focusing on AI-driven image reconstruction and clinical decision support. As Hyperfine expands globally, access to critical brain imaging improves in underserved regions. This transformation is just the beginning! #HealthcareIT #AIinHealthcare #MedicalImaging #PortableMRI #Innovation #HealthTech #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-BcHM21elyPWmN88NMoD5tfaecGCNZ", "object": "chat.completion", "created": 1748462874, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare technology! Hyperfine's Optive AI software for the Swoop system has received FDA clearance, marking a significant upgrade in portable brain imaging. This tenth-generation release enhances imaging quality and enables timely diagnoses at the point of care, eliminating the need for patient transport. The collaboration with NVIDIA further strengthens this innovation, focusing on AI-driven image reconstruction and clinical decision support. As Hyperfine expands globally, access to critical brain imaging improves in underserved regions. This transformation is just the beginning! #HealthcareIT #AIinHealthcare #MedicalImaging #PortableMRI #Innovation #HealthTech #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 612, "completion_tokens": 123, "total_tokens": 735, "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 - 612 |
Healthcare AI News 5/28/25HIStalk - (Wednesday May 28, 2025) - Daily Reads/ HIStalk | |
![]() | NewsAmbience Healthcare develops an AI medical coding model using OpenAI’s Reinforcement Fine-Tuning technology that can record and document clinical conversations, and identify and integrate relevant ICD-10 codes for more accurate billing. The company claims... Exciting advancements in healthcare AI are reshaping the industry! Ambience Healthcare's new AI medical coding model, leveraging OpenAI’s technology, has outperformed human coders, enhancing billing accuracy. Meanwhile, Get a Second Opinion offers AI-driven medication analysis for personalized treatment plans. Google’s MedGemma aids developers in integrating AI for medical imaging, while research from Mount Sinai and West Virginia University highlights AI's potential and limitations in diagnostics. Trust in AI for prior authorizations is growing, allowing physicians to focus more on patient care. Lastly, Cognera Health's win at Alabama Launchpad accelerates AI in mental healthcare. #HealthcareAI #MedicalCoding #DigitalHealth #HealthTech #AIinHealthcare #PatientCare #Innovation 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-BcGb5ZmF1zVXq30fNnYh8ECsojiJz", "object": "chat.completion", "created": 1748459963, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare AI are reshaping the industry! Ambience Healthcare's new AI medical coding model, leveraging OpenAI’s technology, has outperformed human coders, enhancing billing accuracy. Meanwhile, Get a Second Opinion offers AI-driven medication analysis for personalized treatment plans. Google’s MedGemma aids developers in integrating AI for medical imaging, while research from Mount Sinai and West Virginia University highlights AI's potential and limitations in diagnostics. Trust in AI for prior authorizations is growing, allowing physicians to focus more on patient care. Lastly, Cognera Health's win at Alabama Launchpad accelerates AI in mental healthcare. #HealthcareAI #MedicalCoding #DigitalHealth #HealthTech #AIinHealthcare #PatientCare #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 579, "completion_tokens": 145, "total_tokens": 724, "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 - 579 |










