Scientists promote FAIR standards for managing artificial intelligence models
For many studies that have been done to date, it is difficult to gain access to and reproduce the AI...
Artificial Intelligence Methods Could Replace Histochemical Staining
In the hospital, there is a group of doctors who use tissue samples as "evidence materials", analyze...
Proscia Presents Study Results On New Artificial Intelligence That Predicts Diagnostic Concordance For Melanoma
Proscia today unveiled study results on a new artificial intelligence (AI) that predicts diagnostic...
AI for Pathology at Unprecedented Scale
Views on artificial intelligence (AI) today tend to fall into two camps: There are those who lean fu...
Self-Teaching AI Algorithm Uses Pathology Images to Diagnose Rare Diseases
Rare diseases are often difficult to diagnose and predicting the best course of treatment can be cha...
Conversation with Esther Abels, President of The Digital Pathology Association, and Chief Clinical and Regulatory Officer at Visiopharm
The DPA has a lot of stakeholders. We include these stakeholders in our discussions so that we can s...
Researchers Forewarn the Misuse and Overuse of Machine Learning (ML) in Healthcare Research
An international team of researchers, writing in the journal Nature Medicine, advises that strong ca...
New Study Highlights The Use of AI in Digital Pathology: Providing Greater Insights into Treatment Induced Fibrosis Regression in NASH
Background & Aims Liver fibrosis is a key prognostic determinant for clinical outcomes in non-al...