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Machine Learning & Clinical Prediction Journal Club
The MLCP journal club is a monthly, interdisciplinary journal club for anyone interested in machine learning and/or clinical prediction. We cover technical aspects, but the focus is ultimately on the practical, clinical use-cases of machine learning (e.g. for clinical prediction of cardiovascular disease), where we dissect pitfalls and limitations to cut through the hype. Anyone can join the journal club (e.g. students, clinicians, researchers from outside of Steno Aarhus), the only expectation is that you read the actual article before joining and come with an open mindset.
Upcoming sessions
2024 Fall Plan
Date, time Oct 28, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Maris et al. Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives, BMC Medical Ethics. link
Date, time Nov 25, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Groh et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones, Nature Medicine. link
Date, time Dec 16, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Zhou et al. A foundation model for generalizable disease detection from retinal images, Nature. link
Past sessions
Date, time Sep 23, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Jiang et al. Health system-scale language models are all-purpose prediction engines, Nature. link
Date, time Aug 26, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Hughes et al. A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease, npj Digital Medicine. link
Date, time Jun 24, 12-13
Location Hjerterummet (A201-248), Steno Diabetes Center Aarhus (see Contact page)
Article Deng et al. Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients, npj Digital Medicine. link
Date, time May 27, 12-13
Location Krearummet (A301-100), Steno Diabetes Center Aarhus (see Contact page)
Article Tang et al. Evaluating large language models on medical evidence summarization, npj Digital Medicine. link
Date, time Apr 15, 12-13
Location Hjerterummet (A201-248), Steno Diabetes Center Aarhus (see Contact page)
Article Collins et al. Evaluation of clinical prediction models (part 1): from development to external validation, BMJ. link
Date, time Mar 18, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Kaufman JM et al. Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments. link
Recommended reading Fagherazzi G et al. Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice. link
Date, time Feb 26, 12-13
Location Hjørnerummet (A401-109), Steno Diabetes Center Aarhus (see Contact page)
Article Lee YC et al. Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction. link
Date, time Jan 22, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Placido D et al. A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. link
Date, time Dec 18, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Vistisen D et al. Prediction of First Cardiovascular Disease Event in Type 1 Diabetes Mellitus Circulation 2016; 133:1058–1066 link
Date, time Nov 20, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Varoquauxet G & Cheplygina V. Machine learning for medical imaging: methodological failures and recommendations for the future npj Digital Medicine 2022; 5:48 link
Date, time Oct 9, 12-13
Location Hjerterummet (A201-248), Steno Diabetes Center Aarhus (see Contact page)
Article Li Y et al. Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar BMJ 2020;371:m3919 link