
À propos de ce 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 épisodes · Geneeskunde
The Lancet Digital Health in conversation with
À propos de ce 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.
Épisodes récents
- Ruben Hemelings and Leo Schmetterer on predicting glaucoma progression with fundus photographs and deep learning7 août · 26 min
- Shaoxu Wu on panCAM (Mandarin Version)30 avr. · 22 min
- Shaoxu Wu on panCAM17 avr. · 18 min
- Hugo Aerts and Ray Mak on FaceAge8 mai 2025 · 23 min
- Mohamed Omar on pathology and generative AI27 août 2024 · 18 min
- Judith Bonnes on detecting cardiac arrest using wearable technology7 mars 2024 · 17 min
- Andrew Soltan on federated learning systems24 janv. 2024 · 14 min
- Mamatha Bhat on deep learning for predicting liver graft fibrosis23 mai 2023 · 20 min
- Xiao Liu on AI-based clinical research studies21 mars 2023 · 22 min
- Ashleigh Myall on predicting hospital-onset COVID-19 infections19 juil. 2022 · 19 min