AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
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A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
For the first time researchers successfully reproduced the electrical properties of biological neurons onto semiconductor chips.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Researchers have developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.