npj Digital Medicine

(The TQCC of npj Digital Medicine is 27. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-01-01 to 2024-01-01.)
An overview of clinical decision support systems: benefits, risks, and strategies for success864
The future of digital health with federated learning757
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database479
Deep learning-enabled medical computer vision389
Machine learning-based prediction of COVID-19 diagnosis based on symptoms296
Investigating sources of inaccuracy in wearable optical heart rate sensors281
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis252
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines224
Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants220
What is the clinical value of mHealth for patients?213
Deep learning interpretation of echocardiograms208
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)205
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction195
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare194
Beyond validation: getting health apps into clinical practice177
Digital inclusion as a social determinant of health165
A short guide for medical professionals in the era of artificial intelligence161
Methods in predictive techniques for mental health status on social media: a critical review158
Chatbots in the fight against the COVID-19 pandemic158
Digitizing clinical trials153
Blockchain vehicles for efficient Medical Record management152
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies151
Machine learning for medical imaging: methodological failures and recommendations for the future142
Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches141
Impact of a deep learning assistant on the histopathologic classification of liver cancer141
Photoplethysmography based atrial fibrillation detection: a review140
Do as AI say: susceptibility in deployment of clinical decision-aids138
Assessment of physiological signs associated with COVID-19 measured using wearable devices137
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency132
The future of sleep health: a data-driven revolution in sleep science and medicine128
The emerging clinical role of wearables: factors for successful implementation in healthcare125
A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases123
Automated abnormality classification of chest radiographs using deep convolutional neural networks122
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study122
Second opinion needed: communicating uncertainty in medical machine learning120
Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research118
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review113
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium106
Germany’s digital health reforms in the COVID-19 era: lessons and opportunities for other countries104
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device99
U-Sleep: resilient high-frequency sleep staging98
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities96
Full-waveform inversion imaging of the human brain96
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery94
A large language model for electronic health records93
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers91
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-1990
What do medical students actually need to know about artificial intelligence?88
Interpretable survival prediction for colorectal cancer using deep learning84
Digital medicine and the curse of dimensionality83
Deep representation learning of electronic health records to unlock patient stratification at scale80
Developing a delivery science for artificial intelligence in healthcare80
Patient apprehensions about the use of artificial intelligence in healthcare80
A machine learning approach predicts future risk to suicidal ideation from social media data80
A framework for digital health equity78
Actionable health app evaluation: translating expert frameworks into objective metrics78
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic78
Tracking COVID-19 using online search77
Predicting COVID-19 mortality with electronic medical records77
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use76
Presenting machine learning model information to clinical end users with model facts labels76
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department75
The potential of artificial intelligence to improve patient safety: a scoping review75
Characteristics and challenges of the clinical pipeline of digital therapeutics75
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software74
Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device71
Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement71
Preventive digital mental health interventions for children and young people: a review of the design and reporting of research70
A systematic review of smartphone-based human activity recognition methods for health research69
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation68
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson’s disease67
Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data65
Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations64
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging63
Estimating the efficacy of symptom-based screening for COVID-1962
Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors62
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images61
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?61
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence60
A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety60
Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals59
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV59
Multimodal machine learning in precision health: A scoping review59
Harnessing consumer smartphone and wearable sensors for clinical cancer research58
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review58
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance57
Natural language processing applied to mental illness detection: a narrative review55
The imperative for regulatory oversight of large language models (or generative AI) in healthcare55
Quantifying the use of connected digital products in clinical research54
Privacy protections to encourage use of health-relevant digital data in a learning health system54
Digital health tools for the passive monitoring of depression: a systematic review of methods54
Digital health interventions in palliative care: a systematic meta-review54
Wearable radio-frequency sensing of respiratory rate, respiratory volume, and heart rate54
A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker54
Deep learning for automated sleep staging using instantaneous heart rate53
Multi-task deep learning for cardiac rhythm detection in wearable devices53
Automated screening of sickle cells using a smartphone-based microscope and deep learning53
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs53
SMART Markers: collecting patient-generated health data as a standardized property of health information technology53
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging52
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review52
Artificial intelligence for the diagnosis of heart failure50
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia50
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization50
Automated coronary calcium scoring using deep learning with multicenter external validation49
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare49
Privacy-first health research with federated learning49
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system49
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients49
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data48
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning48
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state47
Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age47
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field47
Modernizing and designing evaluation frameworks for connected sensor technologies in medicine46
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery46
A digital embrace to blunt the curve of COVID19 pandemic45
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography45
Outcome measures based on digital health technology sensor data: data- and patient-centric approaches45
Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform44
Digital advantage in the COVID-19 response: perspective from Canada’s largest integrated digitalized healthcare system44
Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants44
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases44
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data42
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review42
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population42
Digital biomarkers: Convergence of digital health technologies and biomarkers41
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care41
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion41
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes41
Design and testing of a mobile health application rating tool40
Sounds of COVID-19: exploring realistic performance of audio-based digital testing40
Health app policy: international comparison of nine countries’ approaches40
WHO Digital Health Guidelines: a milestone for global health40
Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients39
Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-1939
Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies39
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms39
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review38
Digital public health surveillance: a systematic scoping review38
The Project Baseline Health Study: a step towards a broader mission to map human health37
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients37
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review37
Machine learning in vascular surgery: a systematic review and critical appraisal37
Machine learning for technical skill assessment in surgery: a systematic review37
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians36
A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial36
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews36
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data36
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality36
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing35
Building digital twins of the human immune system: toward a roadmap35
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set35
A digital health industry cohort across the health continuum35
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients35
Assessing the quality of mobile applications in chronic disease management: a scoping review34
Health-focused conversational agents in person-centered care: a review of apps34
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis34
Evaluation of biases in remote photoplethysmography methods34
A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial33
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors33
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes33
Integrated multimodal artificial intelligence framework for healthcare applications32
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation32
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data32
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)32
Seeing other perspectives: evaluating the use of virtual and augmented reality to simulate visual impairments (OpenVisSim)32
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms32
Advancing digital health: FDA innovation during COVID-1931
RETRACTED ARTICLE: Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online31
Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling31
Best practices for authors of healthcare-related artificial intelligence manuscripts30
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”30
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT30
Applying speech technologies to assess verbal memory in patients with serious mental illness30
Personalized predictions of patient outcomes during and after hospitalization using artificial intelligence29
Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies29
Assessing the accuracy of automatic speech recognition for psychotherapy29
Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface29
Digital approaches to enhancing community engagement in clinical trials28
A reimbursement framework for artificial intelligence in healthcare28
Weak supervision as an efficient approach for automated seizure detection in electroencephalography28
Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis28
Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study28
Predicting risk of late age-related macular degeneration using deep learning28
Imputation of missing values for electronic health record laboratory data27
Regulatory considerations to keep pace with innovation in digital health products27
Deviations from normal bedtimes are associated with short-term increases in resting heart rate27
Measurement of respiratory rate using wearable devices and applications to COVID-19 detection27
Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data27
Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review27
Low-count whole-body PET with deep learning in a multicenter and externally validated study27
Empowering clinical research in a decentralized world27
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials27
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening27
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning27