Articles related to ARTIFICIAL INTELLIGENCE (AI)

HHS is offering a new funding opportunity to advance AI in healthcare and improve health IT in behavioral health settings. The initiative focuses on developing scalable methods to enhance EHR data quality for AI tools and accelerating health IT capabilities in behavioral health.

An AI-powered test using dried blood spots can diagnose pancreatic, gastric, and colorectal cancers in minutes with 82–100% sensitivity, offering a cost-effective alternative for low-income regions.

AI is enhancing surgical care through advanced preoperative planning, intraoperative decision-making, and postoperative monitoring, promising improved patient outcomes and operational efficiency.

In the coming years, hospitals will increasingly incorporate digital technologies, from AI in diagnostics to enhanced telemedicine capabilities, aimed at improving efficiency and patient care quality.

As AI technologies become increasingly embedded in healthcare, they offer potential to enhance efficiency and patient outcomes. However, the implementation of these systems must be approached with careful consideration of their ethical implications and operational limitations.

This study of more than 1,100 MS patients reveals a significant perception of higher empathy in AI-generated responses compared to those from neurologists, underlining the potential to tailor AI communication tools to improve patient interactions.