Judith Bonnes on detecting cardiac arrest using wearable technology
The Lancet Digital Health
by The Lancet Group
1M ago
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. Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig Continue this conversation on social! Follow us today at... https://twitter.com/thelancet https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https ..read more
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Andrew Soltan on federated learning systems
The Lancet Digital Health
by The Lancet Group
3M ago
Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups. Continue this conversation on social! Follow us today at... https://twitter.com/thelancet https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv ..read more
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Mamatha Bhat on deep learning for predicting liver graft fibrosis
The Lancet Digital Health
by The Lancet Digital Health
1y ago
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 ..read more
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Xiao Liu on AI-based clinical research studies
The Lancet Digital Health
by The Lancet Digital Health
1y ago
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 ..read more
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Ashleigh Myall on predicting hospital-onset COVID-19 infections
The Lancet Digital Health
by The Lancet Digital Health
1y ago
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 ..read more
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Reading race
The Lancet Digital Health
by The Lancet Digital Health
2y ago
Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data ..read more
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Closed-loop insulin delivery systems for patients with diabetes
The Lancet Digital Health
by The Lancet
2y ago
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 ..read more
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Deep learning diagnosis of glaucoma
The Lancet Digital Health
by The Lancet
2y ago
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 ..read more
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Self-guided digital interventions for individuals at risk of suicide
The Lancet Digital Health
by The Lancet
2y ago
Professor Helen Christensen and Dr Rupa Sarkar talk about evidence for effective digital interventions to support people at risk of suicide ..read more
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Predicting the added benefit of adjuvant chemotherapy
The Lancet Digital Health
by The Lancet
2y ago
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 ..read more
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