npj Digital Medicine

Article	Citations
The future of digital health with federated learning	1015
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database	561
Deep learning-enabled medical computer vision	535
Machine learning-based prediction of COVID-19 diagnosis based on symptoms	329
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis	326
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines	290
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction	282
Digital inclusion as a social determinant of health	230
Machine learning for medical imaging: methodological failures and recommendations for the future	219
The imperative for regulatory oversight of large language models (or generative AI) in healthcare	197
Digitizing clinical trials	193
A large language model for electronic health records	191
A short guide for medical professionals in the era of artificial intelligence	187
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers	184
Do as AI say: susceptibility in deployment of clinical decision-aids	177
Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches	174
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review	170
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies	165
The emerging clinical role of wearables: factors for successful implementation in healthcare	161
Second opinion needed: communicating uncertainty in medical machine learning	158
Assessment of physiological signs associated with COVID-19 measured using wearable devices	147
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study	144
A framework for digital health equity	143
U-Sleep: resilient high-frequency sleep staging	135
Patient apprehensions about the use of artificial intelligence in healthcare	134

Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery	133
Digital medicine and the curse of dimensionality	119
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities	116
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium	113
Germany’s digital health reforms in the COVID-19 era: lessons and opportunities for other countries	112
Natural language processing applied to mental illness detection: a narrative review	109
Interpretable survival prediction for colorectal cancer using deep learning	106
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare	106
Multimodal machine learning in precision health: A scoping review	104
The potential of artificial intelligence to improve patient safety: a scoping review	103
Developing a delivery science for artificial intelligence in healthcare	101
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19	99
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software	98
Preventive digital mental health interventions for children and young people: a review of the design and reporting of research	92
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	91
Deep representation learning of electronic health records to unlock patient stratification at scale	91
Actionable health app evaluation: translating expert frameworks into objective metrics	91
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic	90
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department	88
A systematic review of smartphone-based human activity recognition methods for health research	87
Tracking COVID-19 using online search	87
Characteristics and challenges of the clinical pipeline of digital therapeutics	86
Digital health tools for the passive monitoring of depression: a systematic review of methods	86
Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement	85
Predicting COVID-19 mortality with electronic medical records	84
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field	81
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use	80
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?	76
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system	75
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review	74
Wearable radio-frequency sensing of respiratory rate, respiratory volume, and heart rate	72
Privacy protections to encourage use of health-relevant digital data in a learning health system	72
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs	71
Digital biomarkers: Convergence of digital health technologies and biomarkers	71
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images	70
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV	69
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance	69
Digital health interventions in palliative care: a systematic meta-review	69
Harnessing consumer smartphone and wearable sensors for clinical cancer research	69
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation	68
Automated coronary calcium scoring using deep learning with multicenter external validation	67
Multi-task deep learning for cardiac rhythm detection in wearable devices	66
Self-supervised learning for medical image classification: a systematic review and implementation guidelines	65
Deep learning for automated sleep staging using instantaneous heart rate	62
Estimating the efficacy of symptom-based screening for COVID-19	62
Privacy-first health research with federated learning	62
Health app policy: international comparison of nine countries’ approaches	61
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	60
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia	60
Large language models propagate race-based medicine	60

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery	60
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization	59
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care	59
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review	58
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases	58
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review	58
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography	56
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion	55
Integrated multimodal artificial intelligence framework for healthcare applications	55
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes	54
Building digital twins of the human immune system: toward a roadmap	54
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data	54
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population	54
Machine learning in vascular surgery: a systematic review and critical appraisal	54
Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review	53
Outcome measures based on digital health technology sensor data: data- and patient-centric approaches	53
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing	53
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients	52
Machine learning for technical skill assessment in surgery: a systematic review	52
Evaluating large language models on medical evidence summarization	51
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms	50
Digital advantage in the COVID-19 response: perspective from Canada’s largest integrated digitalized healthcare system	50
Sounds of COVID-19: exploring realistic performance of audio-based digital testing	50
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms	50
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state	50
The shaky foundations of large language models and foundation models for electronic health records	49
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients	49
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis	48
A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial	47
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians	46
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials	46
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening	45
Health-focused conversational agents in person-centered care: a review of apps	45
Digital public health surveillance: a systematic scoping review	45
Computer vision in surgery: from potential to clinical value	44
Assessing the quality of mobile applications in chronic disease management: a scoping review	44
Barriers and facilitators to utilizing digital health technologies by healthcare professionals	44
WHO Digital Health Guidelines: a milestone for global health	43
A reimbursement framework for artificial intelligence in healthcare	43
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”	43
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews	42
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality	42
Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19	42
Measurement of respiratory rate using wearable devices and applications to COVID-19 detection	41
Response To: Investigating sources of inaccuracy in wearable optical heart rate sensors	41
Bias in AI-based models for medical applications: challenges and mitigation strategies	41
Evaluation of biases in remote photoplethysmography methods	40
A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial	40
Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies	40
Explainable artificial intelligence for mental health through transparency and interpretability for understandability	40
Regulatory considerations to keep pace with innovation in digital health products	38
Medical domain knowledge in domain-agnostic generative AI	38
RETRACTED ARTICLE: Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online	38
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals	37
Can extended reality in the metaverse revolutionise health communication?	37
Digital approaches to enhancing community engagement in clinical trials	37
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder	37
Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses	36
Push Button Population Health: The SMART/HL7 FHIR Bulk Data Access Application Programming Interface	36
Paying for artificial intelligence in medicine	35
Advancing digital health: FDA innovation during COVID-19	35
Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD	35
Low-count whole-body PET with deep learning in a multicenter and externally validated study	35
A Delphi consensus statement for digital surgery	35
Cohort design and natural language processing to reduce bias in electronic health records research	35
Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition	35
Virtual exam for Parkinson’s disease enables frequent and reliable remote measurements of motor function	35
The digital scribe in clinical practice: a scoping review and research agenda	35
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning	35
Predicting risk of late age-related macular degeneration using deep learning	34
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study	34
A study of generative large language model for medical research and healthcare	34
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT	34
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data	34
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review	34
Imputation of missing values for electronic health record laboratory data	33
Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices	33
Best practices for authors of healthcare-related artificial intelligence manuscripts	33
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning	33
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection	33

AI in the hands of imperfect users	33
Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches	32
Empowering clinical research in a decentralized world	32
Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis	32
Digital therapeutics from bench to bedside	32
Age and environment-related differences in gait in healthy adults using wearables	32
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy	32
Smartphone-based symbol-digit modalities test reliably captures brain damage in multiple sclerosis	31
Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data	31
Enhancing self-management in type 1 diabetes with wearables and deep learning	31
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients	31
The promise of machine learning applications in solid organ transplantation	30
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework	30
Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study	30
Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study	30
Considerations for addressing bias in artificial intelligence for health equity	30
Using a Digital Neuro Signature to measure longitudinal individual-level change in Alzheimer’s disease: the Altoida large cohort study	30
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations	29
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials	29
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials	29
Covid-19 vaccination and menstrual cycle length in the Apple Women’s Health Study	29
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards	28
Soft skin-interfaced mechano-acoustic sensors for real-time monitoring and patient feedback on respiratory and swallowing biomechanics	28
Backslide or forward progress? Virtual care at U.S. healthcare systems beyond the COVID-19 pandemic	28
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models	28
A systematic review of digital and face-to-face cognitive behavioral therapy for depression	28
Virtual care models for cancer survivorship	27
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study	27
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication	27
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis	26
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction	26
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals	26
Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracing	26
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong	26
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients	25
Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes	25
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge	24
The language of crisis: spatiotemporal effects of COVID-19 pandemic dynamics on health crisis communications by political leaders	24
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	24
Telephone, video, equity and access in virtual care	24
Improving the repeatability of deep learning models with Monte Carlo dropout	24
AI-based analysis of CT images for rapid triage of COVID-19 patients	24
Clinical outcomes of digital sensor alerting systems in remote monitoring: a systematic review and meta-analysis	24
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands	24
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data	24
Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care	23
Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours	23
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements	23
The evolution of digital health technologies in cardiovascular disease research	23
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks	23
Smartphone camera based assessment of adiposity: a validation study	23
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread	23
Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data	23
DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy	23
An artificial intelligence based app for skin cancer detection evaluated in a population based setting	23
Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment	22
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	22
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review	22
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa	22
Mobile app validation: a digital health scorecard approach	22
Building resilient medical technology supply chains with a software bill of materials	22
Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices	22