Use of artificial intelligence can accelerate patient diagnoses in a health system under stress, but it’s not risk-free.

Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...

In 2026, Radiology finds itself at a pivotal inflection point. Imaging volumes continue to rise across hospitals, ER’s and outpatient centers, yet many organizations are struggling to maintain ...

Over the years, much has been said about artificial intelligence (AI) and the healthcare industry. Much of it has been focused on two extremes. On one hand, there’s the fairly mature use of neural ...

Harvard Medical School researchers and affiliates have discovered that the use of artificial intelligence in radiology is not universally beneficial, contrary to existing research. The study — ...

Healthcare company Bayer has tapped Google for its cloud and artificial intelligence capabilities to build new tech products to assist radiologists. Bayer wants to pair its radiology, healthcare ...

Radiology has long led the way in the application of artificial intelligence in medicine. More than three-quarters of AI and machine learning devices authorized by the Food and Drug Administration ...

Australia-based startup Harrison.ai spent the past four years building out AI-powered medical diagnostic software and services. The health tech company is focused on using AI to improve the speed and ...

Artificial Intelligence (AI), sometimes called machine intelligence, is Computer systems theory and engineering capable of performing tasks that typically require human intelligence, such as visual ...

New artificial intelligence technology is being developed for radiology practices at the University of Iowa. The team, led by interventional radiologist Sandeep Laroia, will use programmed medical ...

One of the most touted promises of medical artificial intelligence tools is their ability to augment human clinicians' performance by helping them interpret images such as X-rays and CT scans with ...

Radiology in 2026 is undergoing a major transformation as artificial intelligence becomes embedded in workflows and cloud-native PACS platforms replace older systems. These advances enable seamless ...