Reporter Steve Lohr interviewed IBM insiders and close observers en route to finding Watson’s current leadership evidently humbled, cautioned and determined to pursue more sober goals.

Psychology researchers have used machine learning to wring useful two-year dementia trajectory predictions from more than 500 potentially contributing risk factors.

Before colonoscopy AI can progress from lab to clinic on a broad scale—and win regulatory approvals along the way—it has to show its diagnostic mettle in numerous large clinical trials conducted at multiple facilities.

Not so fast with explainable AI in healthcare, warns an international and multidisciplinary team of academics.

As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?

Early on in the development of digital image recognition, the technology showed a penchant for taking logical but potentially problematic shortcuts: It would look to image artifacts and incidental “asides” such as background features to distinguish between two visually similar subjects.

A Silicon Valley icon has debuted a healthcare-specific data engine aimed at collating actionable information from data siloes operating within hospitals and health systems.

Emergency physicians have a tough time identifying patients who have Crohn’s disease and truly need a CT scan to pinpoint the cause of acute abdominal distress.