Article

QUANTIFYING EXPLAINABLE AI METHODS IN MEDICAL DIAGNOSIS: A STUDY IN SKIN CANCER

2024-12-10

Abstract excerpt

Deep learning models have shown substantial promise in assisting medical diagnosis, offering the potential to improve patient outcomes and reduce clinician workloads. However, the widespread adoption of these models in clinical practice has been hindered by concerns surrounding their trustworthiness, transparency, and interpretability. Addressing these challenges requires not only the development of explainable AI...

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Literature Corpus work: 3cf72ee5-7e19-518f-900a-a8eeef219e10
DOI: 10.1101/2024.12.08.24318158

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