Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This study demonstrated that the Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata cases with high sensitivity and specificity in a dermatology clinic setting.

This study found that experienced Australian prescribers of hormone therapy for transgender adults often follow international guidelines but highlight the need for better training and specific local guidelines.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

Gender affects hair and scalp characteristics, with differences in hormone responses, graying patterns, and trace metals.