Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

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

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

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.

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 ...

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 ...

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% ...

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.

New interactive platform allows readers to highlight KJV verses and receive instant AI-driven explanations for deeper ...