npj Digital Medicine

Article	Citations
AI-based skin cancer detection: the balance between access and overutilization	587
Efficient cellular annotation of histopathology slides with real-time AI augmentation	501
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	392
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	380
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	307
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	307
Dose–response relationship between computerized cognitive training and cognitive improvement	261
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	259
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	251
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	224
Patient agency and large language models in worldwide encoding of equity	219
Will AI become our Co-PI?	216
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	210
Defining digital surgery for the future	205
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	194
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	191
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard	190
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	183
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	177
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	175
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	168
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	166
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	162
Seasonal timing and interindividual differences in shiftwork adaptation	159
Addressing racial disparities in surgical care with machine learning	156

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	151
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	148
Clinically meaningful interpretability of an AI model for ECG classification	146
Watching Parkinson’s disease with wrist-based sensors	144
Early adverse physiological event detection using commercial wearables: challenges and opportunities	141
A scoping review of reporting gaps in FDA-approved AI medical devices	135
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	134
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	134
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	132
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	116
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	114
India’s evolving digital health strategy	114
Effectiveness of automated alerting system compared to usual care for the management of sepsis	114
The impact of inconsistent human annotations on AI driven clinical decision making	112
Why we should not mistake accuracy of medical AI for efficiency	110
Small language models learn enhanced reasoning skills from medical textbooks	108
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	107
Classification of intracranial pressure epochs using a novel machine learning framework	106
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	105
The impact of expanded telehealth availability on primary care utilization	102
The relation between passively collected data and PTSD: a systematic review and meta-analysis	101
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	98
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	98
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	96
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	95
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	92
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	92
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	88
Combined telemonitoring and telecoaching for heart failure improves outcome	87
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	86
Large language model agents can use tools to perform clinical calculations	85
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	84
Disparities in cannabis use and documentation in electronic health records among children and young adults	84
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	81
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	80
A scoping review of ethical aspects of public-private partnerships in digital health	79
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	79
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	76
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	75
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling	73
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	73
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials	73
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	72
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”	72
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	71
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI	71
An active inference strategy for prompting reliable responses from large language models in medical practice	70
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation	70
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	69
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology	65

Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	64
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial	63
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	62
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy	62
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	62
Improving medical machine learning models with generative balancing for equity and excellence	61
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis	61
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	60
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation	60
Making machine learning matter to clinicians: model actionability in medical decision-making	60
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction	59
Engaging a national-scale cohort of smart thermometer users in participatory surveillance	59
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study	59
Development and validation of an interpretable risk prediction model for the early classification of thalassemia	59
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions	58
The case for inclusive co-creation in digital health innovation	58
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study	58
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward	57
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry	57
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review	56
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology	56
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images	56
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients	55
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis	55
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women	54
Optical coherence tomography choroidal enhancement using generative deep learning	54
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands	53
A simulation based digital twin approach to assessing the organization of response to emergency calls	53
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer	52
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era	52
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis	52
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms	52
Examining human-AI interaction in real-world healthcare beyond the laboratory	52
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery	51
A mobile health application that supports a patient centered approach to cardiovascular risk management	51
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning	51
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas	51
Health data justice: building new norms for health data governance	51
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle	50
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs	50
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial	50
Artificial intelligence tools in supporting healthcare professionals for tailored patient care	49
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data	49
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case	49
The hospital at home in the USA: current status and future prospects	49
Machine learning for technical skill assessment in surgery: a systematic review	49
Federated target trial emulation using distributed observational data for treatment effect estimation	48
A framework for digital health equity	48
Cross sectional pilot study on clinical review generation using large language models	48
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes	48
Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education	47
Digital twins for the era of personalized surgery	47
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art	47
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children	47
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)	47
Could transparent model cards with layered accessible information drive trust and safety in health AI?	47
Towards precision medicine based on a continuous deep learning optimization and ensemble approach	47
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI	46
Digital health application integrating wearable data and behavioral patterns improves metabolic health	45
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective	45
Reimbursement in the age of generalist radiology artificial intelligence	45
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review	45
Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients	44
A critical assessment of using ChatGPT for extracting structured data from clinical notes	44
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany	44
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias	44
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor	43
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis	43
Explainable artificial intelligence for mental health through transparency and interpretability for understandability	43
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding	42
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions	42
Assessing and alleviating state anxiety in large language models	42
A strategy for cost-effective large language model use at health system-scale	42
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)	42
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression	42
Medical foundation large language models for comprehensive text analysis and beyond	42
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	42
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials	41
How predictive medicine leads to solidarity gaps in health	41
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information	41

Regular snoring is associated with uncontrolled hypertension	41
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China	40
Clinical entity augmented retrieval for clinical information extraction	40
Computer vision in surgery: from potential to clinical value	40
Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data	40
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem	39
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game	39
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation	39
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial	39
Collection of the digital data from the neurological examination	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
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes	39
Has increased telehealth access during COVID-19 led to over-utilization of primary care?	38
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features	38
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations	38
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review	38
Smartphone keyboard dynamics predict affect in suicidal ideation	38
Capturing relationships between suturing sub-skills to improve automatic suturing assessment	36
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults	36
Patient apprehensions about the use of artificial intelligence in healthcare	36
A systematic review of digital and face-to-face cognitive behavioral therapy for depression	36
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices	36
Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline	36
AI-driven preclinical disease risk assessment using imaging in UK biobank	36
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins	35
Predicting radiocephalic arteriovenous fistula success with machine learning	35
Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system	35
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis	35
Considerations for addressing bias in artificial intelligence for health equity	35
A framework for human evaluation of large language models in healthcare derived from literature review	35
Implementation of cloud computing in the German healthcare system	35
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico	34
Author Correction: A computational framework for discovering digital biomarkers of glycemic control	34
Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience	34
Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm	33
Considerations for integrating wearables into the everyday healthcare practice	33
Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review	33
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence	33
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study	33
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings	33
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction	33
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer	33
Author Correction: Small language models learn enhanced reasoning skills from medical textbooks	32
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study	32
Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy	32
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins	32
Deep learning to quantify care manipulation activities in neonatal intensive care units	32
Overcoming biases of individual level shopping history data in health research	32
The role of face regions in remote photoplethysmography for contactless heart rate monitoring	31
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises	31
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms	31
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence	31
Ethical considerations in AI for child health and recommendations for child-centered medical AI	31
AI-enabled wearable cameras for assisting dietary assessment in African populations	31
Medical domain knowledge in domain-agnostic generative AI	31
Surgical gestures as a method to quantify surgical performance and predict patient outcomes	30
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations	30
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications	30
A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis	30
The triple integration of data, users and policies required for successful climate health solutions	29
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection	29
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards	29
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features	29
An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts	29
An equity analysis of remote patient monitoring programs unveils assumptions on digital health equity	29
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases	29
Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases	29
Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial	29
An example of governance for AI in health services from Aotearoa New Zealand	29
Digital health for environmentally sustainable cancer screening	29
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging	29
Human AI collaboration for unsupervised categorization of live surgical feedback	29
A systematic review of consumers’ and healthcare professionals’ trust in digital healthcare	29
Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography	28
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework	28
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring	28
Computational drug repurposing based on electronic health records: a scoping review	28
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan	28
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence	28
U-Sleep’s resilience to AASM guidelines	28
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction	28
Bias recognition and mitigation strategies in artificial intelligence healthcare applications	28
Evaluation of remote digital postoperative wound monitoring in routine surgical practice	28
A caution against customized AI in healthcare	28
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson’s disease: a systematic review and meta-analysis	28
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology	27
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials	27
Modeling personalized heart rate response to exercise and environmental factors with wearables data	27
A systematic review of healthcare provider-targeted mobile applications for non-communicable diseases in low- and middle-income countries	27
Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial	26
Public evidence on AI products for digital pathology	26
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels	26
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI	26
Osteoarthritis progression pattern based on patient specific characteristics using machine learning	26