Ruben Hemelings and Leo Schmetterer from the Singapore Eye Research Institute join Lucy Dunbar to discuss G-PROG, a deep learning tool that predicts glaucoma progression from fundus photographs.

Click here to read the full article:

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(26)00055-5/fulltext

Dr Shaoxu Wu from Sun Yat-sen Memorial Hospital joins Dr Shangrong Han to discuss PanCAM, an AI pathology model that detects lymph-node metastasis across diverse cancers with robust performance.

Click here to read the article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00143-8/fulltext

Dr Shaoxu Wu from Sun Yat-sen Memorial Hospital joins Dr Shangrong Han to discuss PanCAM, an AI pathology model that detects lymph-node metastasis across diverse cancers with robust performance.

Click here to read the full article:

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00143-8/fulltext

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 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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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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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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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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