Making AI models more trustworthy for high-stakes settings | MIT News

MIT Conformal Prediction 01 scaled



MIT Conformal Prediction 01

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.

An artificial intelligence model could assist the clinician in X-ray analysis by helping to identify subtle details and boosting the efficiency of the diagnosis process. But because so many possible conditions could be present in one…



Source link

Disclaimer


We strive to uphold the highest ethical standards in all of our reporting and coverage. We 5guruayurveda.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

Website Upgradation is going on. For any glitch kindly connect at 5guruayurveda.com

Leave a Reply

Your email address will not be published. Required fields are marked *