Traditional diagnostic decision support systems outperform generative AI for diagnosing disease

Medical professionals have been using artificial intelligence (AI) to streamline diagnoses for decades, using what are called diagnostic decision support systems (DDSSs). Computer scientists at Massachusetts General Hospital (MGH) first developed MGH’s own DDSS called DXplain in 1984, which relies on thousands of disease profiles, clinical findings, and data points to generate and rank potential diagnoses for use by clinicians.
Read More

Improving cohort population representativeness to advance translational research in public health

A research team from the Germans Trias i Pujol Research Institute (IGTP), has published a study in the journal Scientific Reports proposing a method to correct selection biases in population-based cohorts. The study represents a significant step forward in improving the reliability of data derived from such studies for public health research and precision medicine.
Read More
Top