Responsible AI: leveraging data and technology to counteract bias
Left unchecked, algorithmic approaches can perpetuate bias in health care. Implementing responsible AI can help reverse that. More
The Question Medical AI Can’t Answer
It’s unable to tell us why it came to a particular decision—and that’s crucial information More
A Hippocratic Oath for your AI doctor
A new WHO reports lays out ethical principles for AI in medicine, but applying them won't be easy More
What If Doctors Are Always Watching, but Never There?
Remote technology could save lives by monitoring health from home or outside the hospital. It could also push patients and health care providers further apart. More
Covid Was a Tipping Point for Telehealth. If Some Have Their Way, Virtual Visits Are Here to Stay.
Pressure is mounting on Congress and the Biden administration to make permanent pandemic-inspired rules that fueled telehealth growth. Some fear fraud and ballooning costs. More
Telemedicine Is a Tool. Not a Replacement for Your Doctor’s Touch.
Covid-19 made virtual medicine a popular investment. But patients should beware. More
Could AI tools for breast cancer worsen disparities? Patchy public data in FDA filings fuel concern
The FDA's decision to clear breast cancer AI tools without requiring publicly disclosure of demographic data threatens to worsen disparities. More
Where Do Vaccine Doses Go, and Who Gets Them? The Algorithms Decide
Health agencies and hospitals are using different formulas to allocate the coronavirus shots, exacerbating disparities in vaccine access. More
A leading AI researcher calls for standards to ensure equity and fairness
Under current industry norms, the extent of testing and reporting on diversity is largely left up to the developers of the models. More
Bias, consent, and data transparency: What patients want the FDA to consider about AI in medicine
The FDA rappling with fundamental questions about algorithmic bias, data transparency, and access to AI tools in medicine. More