Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models may accurately predict outcome measures for patients undergoing MPFL reconstruction.

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – or ...

The standard practice for limited-stage hepatocellular carcinoma (HCC) is the resection or the use of local ablative techniques, such as radiofrequency ablation (RFA). The outcome after RFA depends on ...

Accurately predicting pneumonia patients' prognoses and identifying the most effective treatments has traditionally been difficult. The approach has potential to help clinicians make better informed ...

Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – or failure – of common cartilage procedures.