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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

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Tag: Large Language Models

Artificial neural networks date back to the 1950s – now they are ready to transform healthcare

Artificial neural networks date back to the 1950s – now they are ready to transform healthcare

May 1, 2025Healthcare IT news

Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function.ANNs have been around since the 1950s. They started taking hold in healthcare in the 1990s. Within…

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A scoping review of large language models for generative tasks in mental health care

A scoping review of large language models for generative tasks in mental health care

April 30, 2025npj Digital Medicine

Large language models (LLMs) show promise in mental health care for handling human-like conversations, but their effectiveness remains uncertain. This scoping review synthesizes existing research on LLM applications in mental health care, reviews model…

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Understanding contraceptive switching rationales from real world clinical notes using large language models

Understanding contraceptive switching rationales from real world clinical notes using large language models

April 24, 2025npj Digital Medicine

Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical notes and can be difficult to extract. We evaluated the zero-shot abilities of GPT-4…

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Hippocratic AI partners with UAE services provider to expand into Middle East, North Africa

Hippocratic AI partners with UAE services provider to expand into Middle East, North Africa

April 21, 2025MobiHealthNews

United Arab Emirates-based Burjeel Holdings, a healthcare services provider, and Hippocratic AI, a generative AI company developing safety-focused large language models for healthcare, announced a strategic partnership to alter healthcare delivery. Burjeel Holdings operates in…

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Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports

Leveraging pretrained language models for seizure frequency extraction from epilepsy evaluation reports

April 14, 2025npj Digital Medicine

Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reducing risk for Sudden Unexpected Death in Epilepsy. As this information is often described in clinical narratives, this study presents an approach…

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The Case for Healthcare-Specific Large Language Models

The Case for Healthcare-Specific Large Language Models

April 14, 2025HIT Consultant

 David Talby, CEO, John Snow Labs

Large language models (LLMs) like ChatGPT and other general-purpose artificial intelligence (AI) systems have demonstrated remarkable versatility, excelling in tasks such as summarization, content generation, and conversational interfaces. However,…

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Can Large Language Models Function as Scientific Reasoning Engines?

Can Large Language Models Function as Scientific Reasoning Engines?

April 8, 2025Digital Health Frontier

The capabilities of generative AI continue to grow.  Using them wisely will likely improve clinical decision making.

By Paul Cerrato, MA, senior research analyst and communications specialist and John Halamka, M.D., Diercks President, Mayo Clinic…

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Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

April 5, 2025npj Digital Medicine

Large Language Models (LLMs) hold promise for medical applications but often lack domain-specific expertise. Retrieval Augmented Generation (RAG) enables customization by integrating specialized knowledge. This study assessed the accuracy, consistency, and safety of LLM-RAG…

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A scoping review on generative AI and large language models in mitigating medication related harm

A scoping review on generative AI and large language models in mitigating medication related harm

March 28, 2025npj Digital Medicine

Medication-related harm has a significant impact on global healthcare costs and patient outcomes. Generative artificial intelligence (GenAI) and large language models (LLM) have emerged as a promising tool in mitigating risks of medication-related harm….

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Hippocratic AI hires seven new executives and more digital health hires

Hippocratic AI hires seven new executives and more digital health hires

March 27, 2025MobiHealthNews

Hippocratic AI, a generative AI company developing safety-focused large language models for healthcare, announced the appointment of seven new executives following the closing of its $141 million Series B round of funding in January.Hippocratic AI’s…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

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