HILLSBOROUGH, NC, UNITED STATES, February 1, 2026 /EINPresswire.com/ -- February marks a shift in how people research ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven ...

Artificial intelligence could soon help patients make sense of complex medical scan results, making them far easier to ...

AI is denying patient care faster than any human can review it. Here are the governance questions insurers, providers, regulators and patients must start asking now.

In recent years AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large medical datasets from which AI can learn, it has proven to be a valuable aid ...

Announced during Inman 2026, at a time when AI adoption is emerging as a defining trend for real estate professionals ...

In a research study published this month in JAMA, computer scientists and clinicians from University of Michigan examined the use of artificial intelligence to help diagnose hospitalized patients.

Clinicians who were asked to differentiate between pneumonia, heart failure, or chronic obstructive pulmonary disease (COPD) had a baseline accuracy of 73% (95% CI 68.3-77.8), which rose to about 76% ...

A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis. AI models in health care are a double-edged sword, with ...

AI is changing client expectations in the travel industry, pushing advisors to balance fast responses with accurate, nuanced information. Clients often perceive quick AI answers as authoritative, even ...

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data.