New Lessons on Artificial Intelligence Trials in Medicine and Patient Outcomes
An article published in the journal Nature Medicine discusses lessons learned from the first artificial intelligence trials in medicine, emphasizing the importance of human-AI systems.
A new article written by Kristina Lång from Lund University and published in the journal Nature Medicine examines the experiences gained from the first generation of artificial intelligence in medicine and its approach focused on improving patient outcomes.
Artificial Intelligence and Clinical Success Criteria
The first generation of medical artificial intelligence was evaluated based on how well algorithms could match clinicians. The next generation, however, must be measured by how human and artificial intelligence systems can jointly improve patient outcomes.
Scope and Details of the Research
Prepared by researcher Kristina Lång from Lund University, the study conveys the inferences and important lessons learned from one of the first randomized artificial intelligence trials conducted in the field of medicine to readers.