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.

Researchers at the Children’s Hospital of Philadelphia (CHOP) developed machine learning models that can detect the presence of sepsis in infants, hours before physicians. Findings from the study were published in PLOS One.

Though AI systems have shown promise for detecting skin cancer, more work is needed before they can be utilized in “real world” applications, according to researchers at the 2019 American Academy of Dermatology annual meeting in Washington, D.C.