npj Digital Medicine

Papers
(The TQCC of npj Digital Medicine is 19. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Defining digital surgery for the future499
Addressing racial disparities in surgical care with machine learning450
AI-based skin cancer detection: the balance between access and overutilization415
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data353
Early adverse physiological event detection using commercial wearables: challenges and opportunities332
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality281
Dose–response relationship between computerized cognitive training and cognitive improvement258
Efficient cellular annotation of histopathology slides with real-time AI augmentation217
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data216
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making211
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health192
Clinically meaningful interpretability of an AI model for ECG classification184
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy182
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma168
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers167
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users163
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial159
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation157
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard157
The impact of inconsistent human annotations on AI driven clinical decision making145
India’s evolving digital health strategy142
Promoting racial equity in digital health: applying a cross-disciplinary equity framework138
Why we should not mistake accuracy of medical AI for efficiency134
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa132
Watching Parkinson’s disease with wrist-based sensors131
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data131
A randomized trial of a mobile health intervention to augment cardiac rehabilitation128
Empowering clinical research in a decentralized world120
Effectiveness of automated alerting system compared to usual care for the management of sepsis120
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation120
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector118
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation117
An adversarial training framework for mitigating algorithmic biases in clinical machine learning117
A scoping review of reporting gaps in FDA-approved AI medical devices116
An active inference strategy for prompting reliable responses from large language models in medical practice108
Improving medical machine learning models with generative balancing for equity and excellence105
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review104
Large language model agents can use tools to perform clinical calculations103
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study101
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle100
Making machine learning matter to clinicians: model actionability in medical decision-making99
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial95
Classification of intracranial pressure epochs using a novel machine learning framework94
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma94
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning92
Combined telemonitoring and telecoaching for heart failure improves outcome91
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry90
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease88
Using digital technologies to diagnose in the home: recommendations from a Delphi panel87
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation87
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?86
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology85
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland84
Disparities in cannabis use and documentation in electronic health records among children and young adults83
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials83
A scoping review of ethical aspects of public-private partnerships in digital health81
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology78
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection78
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy77
Real world evidence for altered communication patterns in individuals with autism spectrum disorder77
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy77
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”76
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation73
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response71
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI69
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome68
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors68
The impact of expanded telehealth availability on primary care utilization67
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation66
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling64
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study64
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology63
The case for inclusive co-creation in digital health innovation62
A simulation based digital twin approach to assessing the organization of response to emergency calls61
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms60
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial59
Engaging a national-scale cohort of smart thermometer users in participatory surveillance57
Optical coherence tomography choroidal enhancement using generative deep learning57
Examining human-AI interaction in real-world healthcare beyond the laboratory56
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery56
Artificial intelligence tools in supporting healthcare professionals for tailored patient care56
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis56
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes56
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction56
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands55
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era54
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case54
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry54
Machine learning for technical skill assessment in surgery: a systematic review52
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas51
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis51
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs51
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review51
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images51
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study50
Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients50
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions50
A mobile health application that supports a patient centered approach to cardiovascular risk management50
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data49
The hospital at home in the USA: current status and future prospects49
Health data justice: building new norms for health data governance49
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward49
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction48
A framework for digital health equity47
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle47
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective46
Medical foundation large language models for comprehensive text analysis and beyond46
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies45
Cross sectional pilot study on clinical review generation using large language models45
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)45
Could transparent model cards with layered accessible information drive trust and safety in health AI?44
Assessing and alleviating state anxiety in large language models44
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)44
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art43
Trajectories of mortality risk among patients with cancer and associated end-of-life utilization43
A strategy for cost-effective large language model use at health system-scale43
Reimbursement in the age of generalist radiology artificial intelligence42
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions42
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients42
Regular snoring is associated with uncontrolled hypertension42
Digital health application integrating wearable data and behavioral patterns improves metabolic health42
Towards precision medicine based on a continuous deep learning optimization and ensemble approach42
Explainable artificial intelligence for mental health through transparency and interpretability for understandability42
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials41
Automated coronary calcium scoring using deep learning with multicenter external validation41
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children41
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor41
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review40
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias40
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis40
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression40
A critical assessment of using ChatGPT for extracting structured data from clinical notes39
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review39
Capturing relationships between suturing sub-skills to improve automatic suturing assessment39
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review39
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI39
Towards trustworthy seizure onset detection using workflow notes39
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults39
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany39
Impact of an electronic medical record-based appointment order on outpatient cardiology follow-up after hospital discharge39
Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data39
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China38
Implementation of cloud computing in the German healthcare system38
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game38
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis38
How predictive medicine leads to solidarity gaps in health38
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust37
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem37
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations37
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins37
A systematic review of digital and face-to-face cognitive behavioral therapy for depression37
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features36
Has increased telehealth access during COVID-19 led to over-utilization of primary care?36
Predicting radiocephalic arteriovenous fistula success with machine learning36
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices36
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation36
Clinical entity augmented retrieval for clinical information extraction36
Computer vision in surgery: from potential to clinical value35
Collection of the digital data from the neurological examination34
Considerations for addressing bias in artificial intelligence for health equity34
A framework for human evaluation of large language models in healthcare derived from literature review33
Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system33
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence33
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico33
AI-enabled wearable cameras for assisting dietary assessment in African populations33
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information33
Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes33
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience33
Patient apprehensions about the use of artificial intelligence in healthcare33
Smartphone keyboard dynamics predict affect in suicidal ideation33
Author Correction: A computational framework for discovering digital biomarkers of glycemic control33
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises33
Overcoming biases of individual level shopping history data in health research32
Considerations for integrating wearables into the everyday healthcare practice32
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer32
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study32
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications31
Ethical considerations in AI for child health and recommendations for child-centered medical AI31
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis31
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms31
Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm31
Deep learning to quantify care manipulation activities in neonatal intensive care units30
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging30
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence30
Medical domain knowledge in domain-agnostic generative AI30
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins30
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction30
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards30
A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries29
Surgical gestures as a method to quantify surgical performance and predict patient outcomes29
A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy29
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection29
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations29
Mobile Health: making the leap to research and clinics29
Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement29
An example of governance for AI in health services from Aotearoa New Zealand28
Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial28
Public evidence on AI products for digital pathology28
Human AI collaboration for unsupervised categorization of live surgical feedback28
Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators28
Bias recognition and mitigation strategies in artificial intelligence healthcare applications28
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features27
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence27
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology27
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson’s disease: a systematic review and meta-analysis27
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels27
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework27
Evaluation of remote digital postoperative wound monitoring in routine surgical practice27
A systematic review of consumers’ and healthcare professionals’ trust in digital healthcare27
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases27
The triple integration of data, users and policies required for successful climate health solutions27
Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography27
Digital health for environmentally sustainable cancer screening27
A caution against customized AI in healthcare27
Red teaming ChatGPT in medicine to yield real-world insights on model behavior27
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI26
U-Sleep’s resilience to AASM guidelines26
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction26
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan26
Modeling personalized heart rate response to exercise and environmental factors with wearables data26
Computational drug repurposing based on electronic health records: a scoping review26
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials26
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring25
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare25
Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma25
Privacy-preserving large language models for structured medical information retrieval25
Digital therapeutics from bench to bedside25
Development and prospective validation of postoperative pain prediction from preoperative EHR data using attention-based set embeddings25
A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit25
Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases25
A large language model for electronic health records25
Transfer learning method for prenatal ultrasound diagnosis of biliary atresia25
Automated clinical coding: what, why, and where we are?25
Development and assessment of a machine learning tool for predicting emergency admission in Scotland24
Blending space and time to talk about cancer in extended reality24
Machine learning based quantitative pain assessment for the perioperative period24
Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort24
Telemedicine expands cardiovascular care in China – lessons for health equity in the United States24
Reply to: Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson’s disease: need more evidence24
A hybrid multi model artificial intelligence approach for glaucoma screening using fundus images23
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram23
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning23
Educating the healthcare workforce of the future: lessons learned from the development and implementation of a ‘Wearables in Healthcare’ course23
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality23
Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data23
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform23
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes23
Enhancing serious illness communication using artificial intelligence23
High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension23
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial22
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