About this podcast
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.
18 episodes · health
The Lancet Digital Health in conversation with
About this podcast
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.
Recent episodes
- Ruben Hemelings and Leo Schmetterer on predicting glaucoma progression with fundus photographs and deep learning7 Aug · 26 min
- Shaoxu Wu on panCAM (Mandarin Version)30 Apr · 22 min
- Shaoxu Wu on panCAM17 Apr · 18 min
- Hugo Aerts and Ray Mak on FaceAge8 May 2025 · 23 min
- Mohamed Omar on pathology and generative AI27 Aug 2024 · 18 min
- Judith Bonnes on detecting cardiac arrest using wearable technology7 Mar 2024 · 17 min
- Andrew Soltan on federated learning systems24 Jan 2024 · 14 min
- Mamatha Bhat on deep learning for predicting liver graft fibrosis23 May 2023 · 20 min
- Xiao Liu on AI-based clinical research studies21 Mar 2023 · 22 min
- Ashleigh Myall on predicting hospital-onset COVID-19 infections19 Jul 2022 · 19 min
podlinkr.com/en/the-lancet-digital-health-in-conversation-with
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