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Precision Health Database


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Last data update: Jun 30, 2022. (Total: 47971 Documents since 2012)
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Query Trace: Digital health[original query]>>Original Studies[Product Type]
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
JH Thygesen et al, The Lancet Digital Health, June 8, 2022
Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.
Afshar Majid et al. The Lancet. Digital health 2022 4(6) e426-e435
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study.
Lo-Ciganic Wei-Hsuan et al. The Lancet. Digital health 2022 4(6) e455-e465
Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff Emily R et al. The Lancet. Digital health 2022
Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study.
Syed Shabeer et al. The Lancet. Digital health 2022
Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study.
Nashat Heba et al. International journal of cardiology 2022
Artificial intelligence and medical education: A global mixed-methods study of medical students' perspectives.
Ejaz Hamza et al. Digital health 2022 820552076221089099
Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach.
Saito Tomoki et al. Frontiers in digital health 2022 4861808
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis Dimitrios et al. The Lancet. Digital health 2022 4(5) e300-e308
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia Marc et al. The Lancet. Digital health 2022 4(5) e330-e339
Predicting Severity of Huntington's Disease With Wearable Sensors.
Scheid Brittany H et al. Frontiers in digital health 2022 4874208
Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices
M Holko et al, NPJ Digital Medicine, April 25, 2022
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.
Areia Miguel et al. The Lancet. Digital health 2022
A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.
Xu Xianglong et al. Journal of clinical medicine 2022 11(7)
Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study.
Mosch Lina Katharina et al. JMIR formative research 2022 6(4) e22866
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study.
Oakden-Rayner Lauren et al. The Lancet. Digital health 2022
Physicians' Perceptions of Clinical Utility of a Digital Health Tool for Electronic Patient-Reported Outcome Monitoring in Real-Life Hematology Practice. Evidence From the GIMEMA-ALLIANCE Platform.
Efficace Fabio et al. Frontiers in oncology 2022 12826040
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
LO Rayner et al, Lancet Digital Health, April 5, 2022
Sepsis Prediction for the General Ward Setting.
Yu Sean C et al. Frontiers in digital health 2022 4848599
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.
Ming Damien K et al. Frontiers in digital health 2022 4849641
Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study.
Faghri Faraz et al. The Lancet. Digital health 2022
Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study.
Nwosu Amara Callistus et al. JMIR aging 2022 5(1) e32075
Investigating Health Context: Using Geospatial Big Data Ecosystem.
Haithcoat Timothy et al. JMIR medical informatics 2022
Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach.
Chmiel Francis P et al. JMIR medical informatics 2022 10(3) e26499
Health app policy: international comparison of nine countries’ approaches
A Essen et al, NPJ Digital Medicine, March 18, 2022
A comprehensive artificial intelligence-enabled electrocardiogram interpretation program.
Kashou Anthony H et al. Cardiovascular digital health journal 2022 1(2) 62-70
An artificial intelligence-enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the 'Turing test'?
Kashou Anthony H et al. Cardiovascular digital health journal 2022 2(3) 164-170
Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy.
Frodi Diana M et al. Cardiovascular digital health journal 2022 2(6 Suppl) S11-S20
A machine learning-based clinical decision support algorithm for reducing unnecessary coronary angiograms.
Schwalm J D et al. Cardiovascular digital health journal 2022 3(1) 21-30
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.
Ruamviboonsuk Paisan et al. The Lancet. Digital health 2022
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