The Lancet Digital Health in conversation with
A podcast by The Lancet Group
31 Episoade
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Hugo Aerts and Ray Mak on FaceAge
Publicat: 08.05.2025 -
Mohamed Omar on pathology and generative AI
Publicat: 27.08.2024 -
Judith Bonnes on detecting cardiac arrest using wearable technology
Publicat: 07.03.2024 -
Andrew Soltan on federated learning systems
Publicat: 24.01.2024 -
Mamatha Bhat on deep learning for predicting liver graft fibrosis
Publicat: 23.05.2023 -
Xiao Liu on AI-based clinical research studies
Publicat: 21.03.2023 -
Ashleigh Myall on predicting hospital-onset COVID-19 infections
Publicat: 19.07.2022 -
Reading race
Publicat: 11.05.2022 -
Caroline Figueroa on the need for feminist intersectionality in digital health
Publicat: 26.07.2021 -
Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer
Publicat: 15.02.2021 -
Deepti Gurdasani on health data, AI, and COVID-19
Publicat: 02.12.2020 -
Vence Bonham on diversity and impact in genomic research
Publicat: 02.12.2020 -
Maimuna S Majumder on COVID-19 misinformation online
Publicat: 26.10.2020 -
Sara Gerke and Timo Minssen on AI in healthcare
Publicat: 23.06.2020 -
Identifying and measuring brain lesions in patients with traumatic brain injury
Publicat: 14.05.2020 -
The Lancet Digital Health turns one
Publicat: 29.04.2020 -
A real-time dashboard of clinical trials for COVID-19
Publicat: 24.04.2020 -
Opportunistic value of fully automated CT-based biomarkers
Publicat: 04.03.2020 -
Predicting the added benefit of adjuvant chemotherapy
Publicat: 19.02.2020 -
Using Fitbit data to predict flu outbreaks
Publicat: 16.01.2020
Rupa Sarkar, Editor-in-Chief, Diana Samuel, Deputy Editor, Lucy Dunbar, Senior Editor, and Gustavo Monnerat, Senior Editor at The Lancet Digital Health, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, healthcare, 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.
