But in one of the first real-world tests of an AI tool, working side-by-side with clinicians in Kenya, researchers showed ...

A credible health stat didn’t hold up. This real-world example reveals how AI search can mislead and how healthcare brands can respond. The post When AI summarizes health data, small errors become big ...

On one hand, AI is recognized as a valuable aid in diagnostics, preventive care, and administrative tasks. Physicians ...

Results show that ADA outperformed its competitors, achieving the highest average System Usability Scale (SUS) score of 81.3.

The World Health Organization is calling for caution in using artificial intelligence-generated large language model tools (LLMs) such as ChatGPT, Bard, Bert and others that imitate understanding, ...

The Diagnoss AI medical coding engine acts as a “sidebar” to electronic health records (EHRs) and uses machine learning to improve a clinician’s accuracy.

AI could save lives and billions in health care, but adoption is slowed by ethical, technical, and regulatory challenges, keeping changes incremental.

AI has propelled healthcare into a new era of technological transformation. While much of the conversation around AI in ...

As artificial intelligence (AI) becomes increasingly embedded in health care, from diagnostics and clinical decision support to ...

Ambient intelligence in healthcare consists of creating smart hospital rooms featuring AI systems that perform a range of tasks to improve outcomes, such as sensors and AI that can immediately ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

ArcheHealth, which is positioned to be the healthcare operational intelligence leader, announced today that it will showcase ...