The method utilizes findings from PET/MR imaging to differentiate between changes in tissue owed to treatment versus tumor progression.

Although most medical providers see how artificial intelligence can benefit their practices, patients perceive docs who utilize AI in a less favorable light.

These findings could have positive implications for regions with diverse patient populations, authors of a new analysis suggest.

The technology is said to be twice as accurate at predicting five-year cancer risk compared to current risk assessment methods.

Considering the often-aggressive nature of interval breast cancer, the findings could represent a significant step toward improving patient outcomes, authors of a new research paper suggest.

New findings highlight the  “remarkable potential” of these artificial intelligence tools in improving radiology workflows.  

Not only could its use reduce wait times, but it also could cut the associated costs of imaging.

Experts involved in the model's development are hopeful their take on explainable AI can reduce problematic false positive rates common in breast MRI. 

Many experts believe that artifcial intelligence could help address issues with reader variability on prostate MRIs. 

Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.