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

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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 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 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.

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Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact

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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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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 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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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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