The Lancet Digital Health in conversation with
- Health & Fitness · Medicine
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About
The Lancet Digital Health editors, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, health care, and health policy. A monthly audio companion to this open access journal, this podcast covers a broad range of topics, from using machine learning to predict mortality in prostate cancer and the need for feminist intersectionality in digital health, to how algorithms can predict a patient's race from medical data, and more.
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Recent episodes
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- Shaoxu Wu on panCAM (Mandarin Version)
- Shaoxu Wu on panCAM
- Hugo Aerts and Ray Mak on FaceAge
- Mohamed Omar on pathology and generative AI
- Judith Bonnes on detecting cardiac arrest using wearable technology
- Andrew Soltan on federated learning systems
- Mamatha Bhat on deep learning for predicting liver graft fibrosis
- Xiao Liu on AI-based clinical research studies