A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

This retrospective cohort study of limb-sparing eSTS resections integrated clinical variables and radiomic features, including eSTS and limb dimensions. Target outcomes included surgical site ...

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. Machine learning doesn’t replace humans. But ...

Novel computational techniques have rapidly developed in the last decade. Software engineers and computer programmers are pushing the boundaries of what we can do using machine learning as an ...

Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...