Today was a big feel-good day for me and my colleagues Giovanni Iacca and Eleonora Maria Aiello from the Department of Computer Science and Information Engineering at the University of Trento.

Our students' presentations delved into specific aspects of how medical professionals, from ophthalmology, neurosurgery, cardiology, radiology, endovascular surgery, and health physics, could benefit from AI systems. 

They showcased how AI may help reduce the burnout of radiologists, support neurosurgeons in improving the precision in delivering brain stimulation for Parkinson's patients, detect postoperative delirium, improve the tracking of white matter pathways, predict toxicity in radiotherapy, and many more high-impact issues in medicine and health.

What was remarkable was that they were NOT AI experts but 4th-year Med students who had spent last semester partly in our AI labs and partly at the central hospital's operating units headed by Roberto Bonmassari (Cardiology), Silvio Sarubbo (neurosurgery), Stefano Bonvini (Endovascular Surgery), Federica Romanelli (Ophthalmology), Carlo Cosimo Quattrocchi (Radiology) and Annalisa Trianni (Health Physics).

We had planned and designed this class, AI in Medicine, since 2018, not to be a simple-English recollection of ML and AI concepts for neophytes. We had planned for Med students to get empowered and build their future jobs. We expect them to take the lead in taking AI to the hospitals, diagnostic labs, and bedside, augment their abilities and operations, and greatly benefit the patients' journeys.

Go students, enjoy the rest of the ride!

#ai #machinelearning #responsibleai #trustworthyai #healthcare #ai4good #unitrentodisi #unitrentocismed #universitaditrento