Large language model artificial intelligence applications (LLM AIs) seem poised to have a significant effect on the practice ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex.

Speakers at the European Respiratory Society Congress 2024 highlighted the potential of artificial intelligence (AI) in transforming respiratory health care, while also raising important ethical ...

The clinical decision support space within the broader healthcare AI market is getting more and more crowded, with startups spawning a plethora of tools that help clinicians complete a variety of ...

Generative artificial intelligence models can alter medical recommendations based solely on a patient’s socioeconomic or demographic background — even when clinical details are identical, according to ...

Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. A few years ago, artificial intelligence (AI) promised to ...

Please provide your email address to receive an email when new articles are posted on . An AI platform identified a significant percentage of patients with incomplete medical records. Clinicians were ...

Clinical judgment is now the cornerstone of NCLEX success, requiring nurses to apply structured reasoning to real-world patient care. From recognizing cues to taking decisive action, models like the ...