Healthcare AI has potential not only for neutralizing its inherent algorithmic bias but also for personalizing its outputs to help humans address health inequities.
Reminders also uncovered a handful of important findings lost in the shuffle, including a malignant mass and nodules requiring biopsy, researchers explained Wednesday.
Because they learn as they go, machine learning models for drug discovery have to be continuously re-trained for changing conditions in drug production processes.
Black-box AI should be barred from reading medical images in clinical settings because machine learning, like human thinking, tends to take diagnostic shortcuts.
Hoboken Radiology first learned of potentially suspicious activity on its server back in November 2020 but has not found evidence that personal information was misused.
While just under 4% of all imaging is oncologic, about 44% of radiologic cases involving a disputed diagnosis are related to the deadly disease, experts explained in JACR.