The Lancet Digital Health in conversation with
Een podcast door The Lancet Group
31 Afleveringen
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Hugo Aerts and Ray Mak on FaceAge
Gepubliceerd: 8-5-2025 -
Mohamed Omar on pathology and generative AI
Gepubliceerd: 27-8-2024 -
Judith Bonnes on detecting cardiac arrest using wearable technology
Gepubliceerd: 7-3-2024 -
Andrew Soltan on federated learning systems
Gepubliceerd: 24-1-2024 -
Mamatha Bhat on deep learning for predicting liver graft fibrosis
Gepubliceerd: 23-5-2023 -
Xiao Liu on AI-based clinical research studies
Gepubliceerd: 21-3-2023 -
Ashleigh Myall on predicting hospital-onset COVID-19 infections
Gepubliceerd: 19-7-2022 -
Reading race
Gepubliceerd: 11-5-2022 -
Caroline Figueroa on the need for feminist intersectionality in digital health
Gepubliceerd: 26-7-2021 -
Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer
Gepubliceerd: 15-2-2021 -
Deepti Gurdasani on health data, AI, and COVID-19
Gepubliceerd: 2-12-2020 -
Vence Bonham on diversity and impact in genomic research
Gepubliceerd: 2-12-2020 -
Maimuna S Majumder on COVID-19 misinformation online
Gepubliceerd: 26-10-2020 -
Sara Gerke and Timo Minssen on AI in healthcare
Gepubliceerd: 23-6-2020 -
Identifying and measuring brain lesions in patients with traumatic brain injury
Gepubliceerd: 14-5-2020 -
The Lancet Digital Health turns one
Gepubliceerd: 29-4-2020 -
A real-time dashboard of clinical trials for COVID-19
Gepubliceerd: 24-4-2020 -
Opportunistic value of fully automated CT-based biomarkers
Gepubliceerd: 4-3-2020 -
Predicting the added benefit of adjuvant chemotherapy
Gepubliceerd: 19-2-2020 -
Using Fitbit data to predict flu outbreaks
Gepubliceerd: 16-1-2020
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.
