In conversation with...
Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health, and Diana Samuel, Senior Editor, speak to the journal’s authors to explore their research and its impact on people’s health, health care, and health policy in this regular podcast.
Episodes
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.
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
Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.
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.
Read the full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext
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.
Read full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext
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.
Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19.
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.
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.
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.
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.
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.
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.
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.
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.
Professor Helen Christensen and Dr Rupa Sarkar talk about evidence for effective digital interventions to support people at risk of suicide.
A machine learning model for early identification of individuals with familial hypercholesterolaemia
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.
Dr Timothy Rawson and Dr Rupa Sarkar talk about precision antibiotic optimisation and the arms race against microbes.
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.
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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