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Explorez tous les épisodes du podcast The Lancet Digital Health in conversation with

Plongez dans la liste complète des épisodes de The Lancet Digital Health in conversation with. Chaque épisode est catalogué accompagné de descriptions détaillées, ce qui facilite la recherche et l'exploration de sujets spécifiques. Suivez tous les épisodes de votre podcast préféré et ne manquez aucun contenu pertinent.

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1–14 of 14

TitreDateDurée
Hugo Aerts and Ray Mak on FaceAge08 May 202500:22:30

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.

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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 AI27 Aug 202400:18:24

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.

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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 research02 Dec 202000:08:08

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-1902 Dec 202000:24:28

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 online26 Oct 202000:07:08

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 healthcare23 Jun 202000:24:28

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 injury14 May 202000:15:02

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 one29 Apr 202000:33:05

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-1924 Apr 202000:21:32

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 biomarkers04 Mar 202000:13:47

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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Predicting the added benefit of adjuvant chemotherapy19 Feb 202000:20:02

Prof Anant Madabhushi and Dr Samuel talk about the utility of a radiomic risk score applied to CT scans of patients with early stage non-small cell lung carcinoma.

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Using Fitbit data to predict flu outbreaks16 Jan 202000:19:09

Dr Jennifer Radin and Dr Rupa Sarkar talk about using heart rate and sleep data from Fitbit devices to predict influenza-like illness activity in the US.

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Judith Bonnes on detecting cardiac arrest using wearable technology07 Mar 202400:17:22

Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.

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https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig

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Self-guided digital interventions for individuals at risk of suicide28 Nov 201900:15:57

Professor Helen Christensen and Dr Rupa Sarkar talk about evidence for effective digital interventions to support people at risk of suicide.

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A machine learning model for early identification of individuals with familial hypercholesterolaemia22 Oct 201900:13:47

Katherine Wilemon and Kelly Myers join Christina Wayman from The Lancet Digital Health to discuss the potential of precision screening of individuals with familial hypercholesterolaemia.

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Wearable real-time monitoring of penicillin in human volunteers01 Oct 201900:17:49

Dr Timothy Rawson and Dr Rupa Sarkar talk about precision antibiotic optimisation and the arms race against microbes.

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Machine learning in first-episode psychosis13 Sep 201900:16:53

Dr. Pavan Mallikarjun joins Christina Wayman to discuss a new machine learning approach for predicting symptom remission, recovery, and quality of life outcomes in patients with first-episode psychosis.

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Automated deep learning design in medical diagnosis10 Sep 201900:19:21

Professor Pearse Keane joins Dr Rupa Sarkar to discuss an automated tool for clinicians to learn deep learning design for medical image classification.

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Deep learning diagnosis of glaucoma09 Aug 201900:13:26

Dr Carol Cheung and Dr An-ran Ran join Rupa Sarkar to discuss their new deep learning approach using 3D information from optical coherence tomography scans of the optic and retinal nerve to detect glaucomatous damage, an indicator of glaucoma.

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Health IT failures and their effect on patient care23 Jun 201900:09:22

Guy Martin joins Christina Wayman to discuss an analysis of 13 million safety event reports in England and Wales and their implications on future-proofing IT infrastructure in healthcare.

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Predicting the survival of patients in intensive care24 May 201900:15:26

Søren Brunak joins Christina Wayman, Senior Editor at The Lancet Digital Health, to discuss a machine learning model that can predict mortality of patients admitted to intensive care from both long-term disease history and baseline admission data.

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Mapping disease across lifespan21 May 201900:28:07

Valerie Kuan joins Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health to discuss how electronic health records of almost 4 million individuals can be analysed to understand what diseases affect individuals at each stage of life.

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Closed-loop insulin delivery systems for patients with diabetes29 Apr 201900:06:38

Pierre-Yves Benhamou joins The Lancet Digital Health to discuss the potential for a new hybrid closed-loop artificial pancreas system to improve glucose control in in adults with type 1 diabetes.

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Andrew Soltan on federated learning systems24 Jan 202400:14:18

Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.

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Introducing The Lancet Digital Health22 Jan 201900:09:43

Editor-in-Chief Rupa Sarkar and Senior Editor Christina Wayman discuss the aims and scope of the new journal.

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Mamatha Bhat on deep learning for predicting liver graft fibrosis23 May 202300:20:16

Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.

Read the full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig

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Xiao Liu on AI-based clinical research studies21 Mar 202300:21:41

Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets.

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Ashleigh Myall on predicting hospital-onset COVID-19 infections19 Jul 202200:18:40

Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.

Read the full article:
Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact

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Reading race11 May 202200:31:41

Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.

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Caroline Figueroa on the need for feminist intersectionality in digital health26 Jul 202100:13:16

Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health. 

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https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext

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Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer15 Feb 202100:20:44

Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer.

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https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext

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