Researchers developed an NLP pipeline to predict Glasgow Coma Scale scores from unstructured EHR notes, reducing manual chart review and enabling scalable outcome labeling for machine learning and qua…
Tejas S Athni reported in the Journal of Medical Internet Research that conversational medical AI systems are increasingly simulating licensed health care providers while disclaiming legal responsibil…
A scoping review titled 'Vision-based Artificial Intelligence Technologies for Epilepsy Monitoring: Scoping Review and Taxonomy Development Study' by Mirijana Irnich, Jonas Hammer, Aleksandra Flok, an…
A non-peer-reviewed letter published in the Journal of Medical Internet Research on June 18, 2026, by Zablah, Molina, and Garcia-Loureiro benchmarks three smaller domain-specific LLMs against GPT-4 on…
In a perspective published in the Journal of Medical Internet Research, Jian-min Liu, MD, PhD, argues that artificial intelligence cannot replace physicians in three key domains: holistic clinical obs…
A simulation-based study published in the Journal of Medical Internet Research found that patient cognitive bias reduced large language model diagnostic accuracy by 10 to 40 percentage points across s…
Researchers at the University of New Mexico School of Medicine analyzed electronic health records of over 1.3 million Veterans Health Administration patients and found that standard diagnosis codes ca…
A retrospective comparative study published in the Journal of Medical Internet Research evaluated three large language models—GPT-5, Grok 4, and DeepSeek R1—on their ability to interpret complete bloo…
A study published in the Journal of Medical Internet Research found that next-generation reasoning large language models o3-mini and DeepSeek-R1 frequently reproduced racial and gender disease stereot…