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NPJ Digital Medicine|December 10, 2020
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning modelViktor Tóth, Marsha Meytlis, Douglas P Barnaby, et al.
NPJ Digital Medicine|September 8, 2022
Data-driven causal model discovery and personalized prediction in Alzheimer's diseaseHaoyang Zheng, Jeffrey R Petrella, P Murali Doraiswamy, et al.
NPJ Digital Medicine|March 17, 2021
Reopening businesses and risk of COVID-19 transmissionAshley O'Donoghue, Tenzin Dechen, Whitney Pavlova, et al.
NPJ Digital Medicine|March 20, 2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM ChallengeSolveig K Sieberts, Jennifer Schaff, Marlena Duda, et al.
NPJ Digital Medicine|March 6, 2021
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancerRoman Zeleznik, Jakob Weiss, Jana Taron, et al.
NPJ Digital Medicine|March 9, 2021
Automated identification of clinical features from sparsely annotated 3-dimensional medical imagingNadav Rakocz, Jeffrey N Chiang, Muneeswar G Nittala, et al.
NPJ Digital Medicine|January 30, 2021
Time-ordered comorbidity correlations identify patients at risk of mis- and overdiagnosisIsabella Friis Jørgensen, Søren Brunak
NPJ Digital Medicine|January 18, 2022
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysisJustin C Niestroy, J Randall Moorman, Maxwell A Levinson, et al.
NPJ Digital Medicine|February 27, 2021
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologiesDinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih-Chung Tham, et al.
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