The Lancet Digital Health in conversation with
En podkast av The Lancet Group
31 Episoder
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Hugo Aerts and Ray Mak on FaceAge
Publisert: 8.5.2025 -
Mohamed Omar on pathology and generative AI
Publisert: 27.8.2024 -
Judith Bonnes on detecting cardiac arrest using wearable technology
Publisert: 7.3.2024 -
Andrew Soltan on federated learning systems
Publisert: 24.1.2024 -
Mamatha Bhat on deep learning for predicting liver graft fibrosis
Publisert: 23.5.2023 -
Xiao Liu on AI-based clinical research studies
Publisert: 21.3.2023 -
Ashleigh Myall on predicting hospital-onset COVID-19 infections
Publisert: 19.7.2022 -
Reading race
Publisert: 11.5.2022 -
Caroline Figueroa on the need for feminist intersectionality in digital health
Publisert: 26.7.2021 -
Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer
Publisert: 15.2.2021 -
Deepti Gurdasani on health data, AI, and COVID-19
Publisert: 2.12.2020 -
Vence Bonham on diversity and impact in genomic research
Publisert: 2.12.2020 -
Maimuna S Majumder on COVID-19 misinformation online
Publisert: 26.10.2020 -
Sara Gerke and Timo Minssen on AI in healthcare
Publisert: 23.6.2020 -
Identifying and measuring brain lesions in patients with traumatic brain injury
Publisert: 14.5.2020 -
The Lancet Digital Health turns one
Publisert: 29.4.2020 -
A real-time dashboard of clinical trials for COVID-19
Publisert: 24.4.2020 -
Opportunistic value of fully automated CT-based biomarkers
Publisert: 4.3.2020 -
Predicting the added benefit of adjuvant chemotherapy
Publisert: 19.2.2020 -
Using Fitbit data to predict flu outbreaks
Publisert: 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.
