The Lancet Digital Health in conversation with
By The Lancet Group
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Category: Medicine
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Episodes: 14
Description
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.
| Episode | Date |
|---|---|
|
Hugo Aerts and Ray Mak on FaceAge
|
May 08, 2025 |
|
Mohamed Omar on pathology and generative AI
|
Aug 27, 2024 |
|
Judith Bonnes on detecting cardiac arrest using wearable technology
|
Mar 07, 2024 |
|
Andrew Soltan on federated learning systems
|
Jan 24, 2024 |
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Mamatha Bhat on deep learning for predicting liver graft fibrosis
|
May 23, 2023 |
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Xiao Liu on AI-based clinical research studies
|
Mar 21, 2023 |
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Ashleigh Myall on predicting hospital-onset COVID-19 infections
|
Jul 19, 2022 |
|
Reading race
|
May 11, 2022 |
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Caroline Figueroa on the need for feminist intersectionality in digital health
|
Jul 26, 2021 |
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Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer
|
Feb 15, 2021 |
|
Deepti Gurdasani on health data, AI, and COVID-19
|
Dec 02, 2020 |
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Vence Bonham on diversity and impact in genomic research
|
Dec 02, 2020 |
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Maimuna S Majumder on COVID-19 misinformation online
|
Oct 26, 2020 |
|
Sara Gerke and Timo Minssen on AI in healthcare
|
Jun 23, 2020 |