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As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Researchers have found a new way to predict AI’s impact on the U.S. workforce: paying close attention to patents.

Damaged Organ

Deep learning could potentially assist healthcare providers with the evaluation of small renal masses detected on certain contrast-enhanced CT exams, according to a new study published in the American Journal of Roentgenology.

The Department of Justice has recouped more than $3 billion in 2019 from settlements and judgements from false claims and fraud. Of these cases, $2.6 billion came from the healthcare industry.

Americans continued to rank nurses highest for honesty and ethics among a list of professions for the 18th year in a row in 2019, according to a recent Gallup poll.

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Machine learning (ML) technology has gained popularity in recent years, but its use in healthcare remains largely limited to proof-of-concept academic studies, according to a new study published in Artificial Intelligence in Medicine.

Drug prices are still rising in 2020, but the rate of inflation appears to be slowing down. For investors, however, that might be good news, according to The Wall Street Journal.

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The approval, made as part of a special FDA pilot program, took just 50 days.