Deep learning is an important element of AI that’s helping advance diagnostics and treatment, but it also remains relatively uncharted territory.

A collaboration between Boston-based pharmaceutical startup Berg and French company Sanofi could one day result in more precise flu vaccines and even personalized shots tailored to individuals’ unique immune systems, Time reported March 5.

Though the idea of artificial intelligence displacing radiologists worries more than half of surveyed medical students interested in an imaging career, radiology programs have seen a spike in applications in recent years, according to work published in Academic Radiology.

AI systems can detect breast cancer just as well as radiologists, according to a study published March 5 in the Journal of the National Cancer Institute.

Privia’s Southeast network expands with more than 380 Health First providers.

Amazon has extended a grant valued at $2 million to Harvard Medical School so the medical giant can experiment with machine learning and AI to streamline their clinical workflow, Bloomberg reported March 4.

Researchers from the Icahn School of Medicine at Mount Sinai have developed an AI platform that’s reportedly capable of detecting a range of neurodegenerative diseases in human brain tissue samples, according to a study published in the February issue of Laboratory Investigation.

Using big data and AI-driven prediction models can be clinically useful, but it’s also important to learn about that data and the processes involved in collecting it, according to work published in JAMA Psychiatry.