3rd NCI and Intersect Showcase - AI and ML in Cancer Research (held online on 23/6/2023)

Opportunities and Challenges for Medical Imaging AI: Lessons from Oncology
Prof Jayashree Kalpathy-Cramer (Artificial Medical Intelligence in Ophthalmology Division, University of Colorado School of Medicine)

Artificial Intelligence and Machine Learning have the potential to greatly transform healthcare. We will begin with highlighting a few applications in radiology and oncology. Although these techniques have shown remarkable performance for many tasks including medical image analysis, we will share some of the challenges that we have faced in developing robust and trustworthy algorithms including a lack of repeatability, explainability, generalizability, and the potential for bias, and conclude with some mitigating strategies and recommendations.

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