New research from the Boston University School of Medicine reveals that medical students are not given sufficient education and experience working with machine learning tools in the classroom, despite the growing prevalence of machine learning (ML) and artificial intelligence (AI) in the healthcare environment.

“Recent regulatory approvals of AI-driven companion diagnostics and other products are glimmers of a future in which these tools could play a key role by defining the way medicine will be practiced,” the authors write. “Educating the next generation of medical professionals with the right ML techniques will enable them to become part of this emerging data science revolution.”

Access the full study here.