The Lancet Digital Health in conversation with
Podcast autorstwa The Lancet Group
31 Odcinki
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Hugo Aerts and Ray Mak on FaceAge
Opublikowany: 8.05.2025 -
Mohamed Omar on pathology and generative AI
Opublikowany: 27.08.2024 -
Judith Bonnes on detecting cardiac arrest using wearable technology
Opublikowany: 7.03.2024 -
Andrew Soltan on federated learning systems
Opublikowany: 24.01.2024 -
Mamatha Bhat on deep learning for predicting liver graft fibrosis
Opublikowany: 23.05.2023 -
Xiao Liu on AI-based clinical research studies
Opublikowany: 21.03.2023 -
Ashleigh Myall on predicting hospital-onset COVID-19 infections
Opublikowany: 19.07.2022 -
Reading race
Opublikowany: 11.05.2022 -
Caroline Figueroa on the need for feminist intersectionality in digital health
Opublikowany: 26.07.2021 -
Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer
Opublikowany: 15.02.2021 -
Deepti Gurdasani on health data, AI, and COVID-19
Opublikowany: 2.12.2020 -
Vence Bonham on diversity and impact in genomic research
Opublikowany: 2.12.2020 -
Maimuna S Majumder on COVID-19 misinformation online
Opublikowany: 26.10.2020 -
Sara Gerke and Timo Minssen on AI in healthcare
Opublikowany: 23.06.2020 -
Identifying and measuring brain lesions in patients with traumatic brain injury
Opublikowany: 14.05.2020 -
The Lancet Digital Health turns one
Opublikowany: 29.04.2020 -
A real-time dashboard of clinical trials for COVID-19
Opublikowany: 24.04.2020 -
Opportunistic value of fully automated CT-based biomarkers
Opublikowany: 4.03.2020 -
Predicting the added benefit of adjuvant chemotherapy
Opublikowany: 19.02.2020 -
Using Fitbit data to predict flu outbreaks
Opublikowany: 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.
