npj Digital Medicine

Article	Citations
AI-based skin cancer detection: the balance between access and overutilization	604
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	525
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	406
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	395
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	319
Will AI become our Co-PI?	318
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	275
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	267
Clinically meaningful interpretability of an AI model for ECG classification	259
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	250
Patient agency and large language models in worldwide encoding of equity	231
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	225
Dose–response relationship between computerized cognitive training and cognitive improvement	225
Watching Parkinson’s disease with wrist-based sensors	220
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	218
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	204
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	203
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	195
India’s evolving digital health strategy	188
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	184
Why we should not mistake accuracy of medical AI for efficiency	183
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	182
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	178
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	170
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	167

Addressing racial disparities in surgical care with machine learning	165
Establishing organizational AI governance in healthcare: a case study in Canada	160
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	157
Incorporating large language models as clinical decision support in oncology: the Woollie model	153
Seasonal timing and interindividual differences in shiftwork adaptation	149
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	146
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	141
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	141
Effectiveness of automated alerting system compared to usual care for the management of sepsis	139
Efficient cellular annotation of histopathology slides with real-time AI augmentation	126
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	126
Early adverse physiological event detection using commercial wearables: challenges and opportunities	120
Small language models learn enhanced reasoning skills from medical textbooks	120
Defining digital surgery for the future	116
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	115
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	112
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	112
The impact of inconsistent human annotations on AI driven clinical decision making	110
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	110
A scoping review of reporting gaps in FDA-approved AI medical devices	104
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	101
Classification of intracranial pressure epochs using a novel machine learning framework	101
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	99
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	99
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	96
The impact of expanded telehealth availability on primary care utilization	94
The relation between passively collected data and PTSD: a systematic review and meta-analysis	90
Improving medical machine learning models with generative balancing for equity and excellence	89
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	88
An active inference strategy for prompting reliable responses from large language models in medical practice	87
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling	87
A scoping review of ethical aspects of public-private partnerships in digital health	86
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation	83
Disparities in cannabis use and documentation in electronic health records among children and young adults	82
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	82
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	81
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	81
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	79
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	78
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	77
Combined telemonitoring and telecoaching for heart failure improves outcome	75
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	74
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials	73
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	73
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	72
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	71
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	70
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	70
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	68
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	68

Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	67
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	66
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology	66
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	65
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	63
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI	63
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial	63
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”	62
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation	62
Large language model agents can use tools to perform clinical calculations	62
Making machine learning matter to clinicians: model actionability in medical decision-making	62
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis	62
Engaging a national-scale cohort of smart thermometer users in participatory surveillance	61
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy	61
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study	61
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction	60
The case for inclusive co-creation in digital health innovation	60
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions	60
Development and validation of an interpretable risk prediction model for the early classification of thalassemia	60
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images	59
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients	59
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology	59
A simulation based digital twin approach to assessing the organization of response to emergency calls	59
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis	59
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry	59
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands	59
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis	58
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era	57
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning	57
Examining human-AI interaction in real-world healthcare beyond the laboratory	57
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery	57
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial	56
A mobile health application that supports a patient centered approach to cardiovascular risk management	56
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes	55
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle	54
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study	54
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women	54
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms	54
Multimodal machine learning for risk-stratified bundled payments in spinal surgery	54
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward	52
The hospital at home in the USA: current status and future prospects	52
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs	52
Peer perceptions of clinicians using generative AI in medical decision-making	52
Artificial intelligence tools in supporting healthcare professionals for tailored patient care	51
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas	51
Optical coherence tomography choroidal enhancement using generative deep learning	50
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer	50
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data	50
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review	49
Health data justice: building new norms for health data governance	49
A framework for digital health equity	48
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case	48
Machine learning for technical skill assessment in surgery: a systematic review	48
Cross sectional pilot study on clinical review generation using large language models	47
Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education	47
Federated target trial emulation using distributed observational data for treatment effect estimation	47
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)	47
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children	47
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective	46
Regular snoring is associated with uncontrolled hypertension	46
Digital twins for the era of personalized surgery	46
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions	46
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)	45
Reimbursement in the age of generalist radiology artificial intelligence	45
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany	44
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI	44
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding	44
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art	44
Digital health application integrating wearable data and behavioral patterns improves metabolic health	44
Could transparent model cards with layered accessible information drive trust and safety in health AI?	44
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias	44
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients	44
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	43
Medical foundation large language models for comprehensive text analysis and beyond	43
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis	43
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression	43
Assessing and alleviating state anxiety in large language models	43
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor	43
Towards precision medicine based on a continuous deep learning optimization and ensemble approach	42
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials	42

A strategy for cost-effective large language model use at health system-scale	42
A critical assessment of using ChatGPT for extracting structured data from clinical notes	42
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information	41
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem	41
How predictive medicine leads to solidarity gaps in health	41
Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data	41
Explainable artificial intelligence for mental health through transparency and interpretability for understandability	41
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China	41
From ageing clocks to human digital twins in personalising healthcare through biological age analysis	40
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game	40
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations	40
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes	40
Smartphone keyboard dynamics predict affect in suicidal ideation	40
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial	40
Has increased telehealth access during COVID-19 led to over-utilization of primary care?	39
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults	39
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review	39
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices	39
Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools	39
Towards trustworthy seizure onset detection using workflow notes	39
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust	39
Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline	39
Implementation of cloud computing in the German healthcare system	38
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins	38
Capturing relationships between suturing sub-skills to improve automatic suturing assessment	38
Collection of the digital data from the neurological examination	38
A framework for human evaluation of large language models in healthcare derived from literature review	37
AI-driven preclinical disease risk assessment using imaging in UK biobank	37
Considerations for addressing bias in artificial intelligence for health equity	37
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation	37
Culture-free detection of bacteria from blood for rapid sepsis diagnosis	37
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis	36
Clinical entity augmented retrieval for clinical information extraction	36
Predicting radiocephalic arteriovenous fistula success with machine learning	35
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features	35
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience	35
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study	35
A systematic review of digital and face-to-face cognitive behavioral therapy for depression	35
Computer vision in surgery: from potential to clinical value	35
Author Correction: A computational framework for discovering digital biomarkers of glycemic control	35
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico	35
Patient apprehensions about the use of artificial intelligence in healthcare	35
Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system	35
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer	35
Overcoming biases of individual level shopping history data in health research	34
A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction	34
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence	34
Medical domain knowledge in domain-agnostic generative AI	34
Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review	34
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence	33
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings	33
Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy	33
Graph retrieval augmented large language models for facial phenotype associated rare genetic disease	33
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction	33
Author Correction: Small language models learn enhanced reasoning skills from medical textbooks	33
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations	33
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards	33
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins	33
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms	32
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study	32
The role of face regions in remote photoplethysmography for contactless heart rate monitoring	32
AI-enabled wearable cameras for assisting dietary assessment in African populations	32
A randomized controlled trial of a digital cognitive behavioral therapy for insomnia for older adults	32
Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness	32
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis	32
Surgical gestures as a method to quantify surgical performance and predict patient outcomes	32
Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm	32
Considerations for integrating wearables into the everyday healthcare practice	31
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging	31
Deep learning to quantify care manipulation activities in neonatal intensive care units	31
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications	31
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises	31
Ethical considerations in AI for child health and recommendations for child-centered medical AI	30
Human AI collaboration for unsupervised categorization of live surgical feedback	30
The triple integration of data, users and policies required for successful climate health solutions	30
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection	30
Red teaming ChatGPT in medicine to yield real-world insights on model behavior	30
Digital health for environmentally sustainable cancer screening	30
Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study	30
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan	29
A caution against customized AI in healthcare	29
Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial	29
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases	29
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework	29
Osteoarthritis progression pattern based on patient specific characteristics using machine learning	29
Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography	29
Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases	29
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology	28
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts	28
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels	28
An equity analysis of remote patient monitoring programs unveils assumptions on digital health equity	28
Modeling personalized heart rate response to exercise and environmental factors with wearables data	28
A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy	28
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials	27
An example of governance for AI in health services from Aotearoa New Zealand	27