How can closely related mental illnesses with similar symptoms be reliably distinguished from one another? As part of a German-Chinese collaboration, researchers from Forschungszentrum Jülich and Heinrich Heine University Düsseldorf (HHU) have helped develop a decision tree aimed at improving diagnostic accuracy. The team used a combination of diagnostic techniques and artificial intelligence (AI). As the authors report in Science Advances, their findings could substantially increase the precision of psychiatric diagnoses.
This article was originally published on MedicalXpress.com
