The Lancet Digital Health in conversation with – Détails, épisodes et analyse

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Podcast The Lancet Digital Health in conversation with

The Lancet Digital Health in conversation with

The Lancet Group

Forme & Santé
Sciences
Technologie

Fréquence : 1 épisode/77j. Total Éps: 14

Hosting podcast Buzzsprout

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.

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Hugo Aerts and Ray Mak on FaceAge

jeudi 8 mai 2025Durée 22:30

Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer.

Read the full article:

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig

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Mohamed Omar on pathology and generative AI

mardi 27 août 2024Durée 18:24

Mohamed Omar joins The Lancet Digital Health to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.

Read the full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig

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Vence Bonham on diversity and impact in genomic research

mercredi 2 décembre 2020Durée 08:08

Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies.

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Deepti Gurdasani on health data, AI, and COVID-19

mercredi 2 décembre 2020Durée 24:28

Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19.

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Maimuna S Majumder on COVID-19 misinformation online

lundi 26 octobre 2020Durée 07:08

Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public’s online search interests, and the potential impact this can have on their health.

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Sara Gerke and Timo Minssen on AI in healthcare

mardi 23 juin 2020Durée 24:28

Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission’s white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare.

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Identifying and measuring brain lesions in patients with traumatic brain injury

jeudi 14 mai 2020Durée 15:02

Virginia Newcombe and Miguel Monteiro join Rupa Sarkar to discuss their work on a deep learning algorithm to quantify and distinguish between brain lesion types in head CT images of patients with traumatic brain injury.

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The Lancet Digital Health turns one

mercredi 29 avril 2020Durée 33:05

To celebrate the journal’s anniversary, the Editors and International Advisory Board members of The Lancet Digital Health reflect on the major digital advances transforming medicine and healthcare in the past year and the role of digital health in mitigating the COVID-19 pandemic.

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A real-time dashboard of clinical trials for COVID-19

vendredi 24 avril 2020Durée 21:32

Dr. Louis Dron and Dr Samuel talk about an online dashboard that collates all clinical trials investigating treatments for COVID-19, and discuss the broader implications of its use.

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Opportunistic value of fully automated CT-based biomarkers

mercredi 4 mars 2020Durée 13:47

Prof Perry Pickhardt and Diana Samuel talk about the prognostic abilities of a panel of automated CT-based biomarkers for predicting future risk of serious adverse events.

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