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
From a small town in North Carolina to big-city hospitals, how software infuses racism into U.S. health care
The use of analytics software to target medical services to patients who need them most is infusing racial bias into health care decisions. More
Are lung function algorithms perpetuating health disparities experienced by Black people?
Is the use of race-based lung function algorithms blinding clinicians (and society) to the health harms of structural racism? More
The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies
Algorithms, or computer-implementable instructions to perform specific tasks, are available for clinical use, including complex artificial intelligence (AI) and machine learning (ML) algorithms and simple rule-based algorithms. More
Artificial Intelligence, Health Disparities, and Covid-19
How racially biased is AI medicine? Experts are asking if biased algorithms worsen Covid-19's toll on Black Americans. More
Mental Health Apps Rarely Evidence-Based
Mental health apps are rarely evidence-based, according to a new study published in JNCN in Advance. More
An invisible hand: Patients aren’t being told about the AI systems advising their care
A growing number of prominent hospitals are using AI-powered tools to advise patient care. But patients often aren't informed, a STAT examination finds. More
An experiment in end-of-life care: Tapping AI’s cold calculus to nudge the most human of conversations
A handful of hospitals and cancer clinics are tapping the cold calculations of AI to nudge conversations around some of the most deeply human questions. More
Why virtual care will outlast the pandemic
With millions of people suddenly video chatting their doctors, there's pressure on Washington to make telehealth a permanent option. More
AI systems are worse at diagnosing disease when training data is skewed by sex
New research points to an issue AI researchers are increasingly worried about: Training systems on data skewed by sex could make them less accurate. More
Coronavirus Tests The Value Of Artificial Intelligence In Medicine
Overall, AI’s implementation in everyday clinical care is less common than hype over the technology would suggest. Yet the coronavirus crisis has inspired some hospital systems to accelerate promising applications. More