Making AI models more trustworthy for high-stakes contexts, like classifying diseases in medical images

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood.
š Full Story

Massive black woman crashes out in the middle of a Mexican grocery store #shorts
- Epic Games takes aim at Apple and Steam with zero-commission policy for developers - Lawrence Bonk
- Prince Andrew āmust come cleanā after his sex abuse accuser Virginia Giuffre killed herself, her lawyer says ā as family reveals the mother hadnāt seen her children for months before suicide - MeighTimbol
- The 10-Year Anniversary of Facebook's Acquisition of WhatsApp - Bertha Stephens
- CDC reports 216 child deaths this flu season, the most in 15 years
- AreYouKiddingTV: A Closer Look at NFL and YouTube's Creator of the Week Initiative - Bertha Stephens
- Microsoft is raising prices on the Xbox Series S and Series X - Igor Bonifacic

We Tried India's Biggest Battery Phone!
- The Press Is Moving on to Their Next Deportation Martyr, and Signs Indicate He Is Another Troubled Figure
- Your Favorite Sci-Fi TV Show Will Never Be As Successful As NCIS - Jonathan Klotz
- Get the Google Pixel 9a with $100 store credit at Amazon, Best Buy and the Google Store - Will Shanklin
- Texas Roadhouse cooks up dog's final meal on the house after online order includes note
- š„ Remote Customer Service Representative: $19.50/Hr., Benefits - ratrace
- Canadian Conservative Leader Pierre Poilievre Loses National Election AND His Seat in Parliament after He Started Trashing Trump on Regular Basis⦠Update: Trashes Trump on Way Out the Door - MeighTimbol