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 ...
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 ...
A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical ...
Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...
A Global Grand Challenges case study reveals the potential of large language models (LLMs) to close health gaps in South Asia ...
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 ...
Epic and Oracle submit policy recommendations to HHS to guide AI adoption in clinical care with vendor-agnostic validation ...
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 ...
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