AI For Health

Agenda
9:30 - 10:00 gathering

10:00 - 11:00
Transforming Cancer through AI technologies
Michal Rosen-Zvi
Director, Health Informatics, IBM Research

Computational models on the basis of deep neural networks are increasingly used to analyze health care data in general and cancer data in particular. Aiming at better diagnosis and prognosis, machine learning and deep learning technologies are applied to data coming from people diagnosed with cancer. In this talk the potential benefits of this approach will be discussed. A particular study, recently published at Radiology, entitled "Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms" will be discussed. The study aims at evaluating the accuracy and efficiency of a combined machine and deep learning approach for early breast cancer detection applied to a linked set of digital mammography images and electronic health records. It shows that the algorithm, which combined machine-learning and deep-learning approaches, can be applied to assess breast cancer at a level comparable to radiologists and has the potential to substantially reduce missed diagnoses of breast cancer. The talk will conclude with the implications and potential of this and similar algorithms.

11:00 - 12:00
Another Speaker TBD

Event Host: Hadassah Accelerator powered by IBM Alpha Zone