npj Digital Medicine

Papers
(The TQCC of npj Digital Medicine is 18. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
AI-based skin cancer detection: the balance between access and overutilization687
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers634
Addressing racial disparities in surgical care with machine learning457
Seasonal timing and interindividual differences in shiftwork adaptation449
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences394
Watching Parkinson’s disease with wrist-based sensors382
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation360
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records355
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning336
Metabolomic characterization of frailty identifies subtype-specific management strategies303
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program300
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality279
Promoting racial equity in digital health: applying a cross-disciplinary equity framework273
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury261
Large language models-enabled digital twins for precision medicine in rare gynecological tumors257
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality254
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data251
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis246
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users240
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable239
A randomized trial of a mobile health intervention to augment cardiac rehabilitation225
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data217
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study210
Multimodal analysis of whole slide images in colorectal cancer210
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations194
Patient agency and large language models in worldwide encoding of equity191
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential189
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health186
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning182
India’s evolving digital health strategy177
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making171
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI170
Incorporating large language models as clinical decision support in oncology: the Woollie model165
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector158
Establishing organizational AI governance in healthcare: a case study in Canada154
Defining digital surgery for the future149
Unobtrusive inference of diurnal rhythms from smartphone data149
Policy brief: ambient AI scribes and the coding arms race138
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education136
Clinically meaningful interpretability of an AI model for ECG classification135
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma133
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation128
Will AI become our Co-PI?127
Why we should not mistake accuracy of medical AI for efficiency124
Effectiveness of automated alerting system compared to usual care for the management of sepsis123
Dose–response relationship between computerized cognitive training and cognitive improvement121
Early adverse physiological event detection using commercial wearables: challenges and opportunities116
An adversarial training framework for mitigating algorithmic biases in clinical machine learning116
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management110
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial108
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation106
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy105
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery103
Computational network models for forecasting and control of mental health trajectories in digital applications99
Small language models learn enhanced reasoning skills from medical textbooks97
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data95
The impact of inconsistent human annotations on AI driven clinical decision making94
A scoping review of reporting gaps in FDA-approved AI medical devices92
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis91
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information91
Predicting outcomes following endovascular aortoiliac revascularization using machine learning86
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy86
Using digital technologies to diagnose in the home: recommendations from a Delphi panel85
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty85
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland85
The relation between passively collected data and PTSD: a systematic review and meta-analysis85
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle84
Demographic bias in public remote photoplethysmography datasets83
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow80
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma79
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology79
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery79
Matters arising: Utilizing foundation models for developing clinical tools79
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response79
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions77
Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study77
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors77
Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China76
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry76
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’75
A typology of physician input approaches to using AI chatbots for clinical decision-making75
Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation75
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning75
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images74
A Global meta-analysis of digital divide in psychiatric population from 2004 to 202374
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis74
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology73
Large language model agents can use tools to perform clinical calculations73
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features73
The impact of expanded telehealth availability on primary care utilization72
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial71
Improving medical machine learning models with generative balancing for equity and excellence71
Disparities in cannabis use and documentation in electronic health records among children and young adults71
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior70
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study70
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?70
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation69
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome69
An active inference strategy for prompting reliable responses from large language models in medical practice68
Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors68
Real world evidence for altered communication patterns in individuals with autism spectrum disorder68
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR67
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners67
Artificial intelligence-based personalized treatment strategies for unresectable hepatocellular carcinoma: integrating HSP90α for prognosis and survival prediction67
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy66
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation66
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation65
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease65
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review65
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI64
A scoping review of ethical aspects of public-private partnerships in digital health63
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling63
Combined telemonitoring and telecoaching for heart failure improves outcome63
Making machine learning matter to clinicians: model actionability in medical decision-making62
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study61
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection61
Multimodal machine learning for risk-stratified bundled payments in spinal surgery61
Classification of intracranial pressure epochs using a novel machine learning framework61
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery60
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction60
A mobile health application that supports a patient centered approach to cardiovascular risk management60
Benchmarking large language models for personalized, biomarker-based health intervention recommendations60
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning59
Artificial intelligence tools in supporting healthcare professionals for tailored patient care59
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images59
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era59
Predicting recovery after stressors using step count data derived from activity monitors59
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle59
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis59
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry58
Optical coherence tomography choroidal enhancement using generative deep learning58
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes57
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case57
Examining human-AI interaction in real-world healthcare beyond the laboratory57
Peer perceptions of clinicians using generative AI in medical decision-making57
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review56
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms56
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women56
SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts55
Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens55
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer55
Development and validation of an interpretable risk prediction model for the early classification of thalassemia54
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis54
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands54
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs53
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward53
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology53
Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway52
Engaging a national-scale cohort of smart thermometer users in participatory surveillance52
Health data justice: building new norms for health data governance52
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions52
The hospital at home in the USA: current status and future prospects51
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas51
Machine learning for technical skill assessment in surgery: a systematic review51
The case for inclusive co-creation in digital health innovation51
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data51
African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight50
A framework for digital health equity50
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients50
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study50
A simulation based digital twin approach to assessing the organization of response to emergency calls50
Reimbursement in the age of generalist radiology artificial intelligence49
Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data49
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding48
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia47
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)47
Streamlined machine learning model for early sepsis risk prediction in burn patients47
Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance47
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children47
Expanding care coordination in an integrated health system through causal machine learning47
Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model47
Cross sectional pilot study on clinical review generation using large language models47
Could transparent model cards with layered accessible information drive trust and safety in health AI?46
Continuous and componentized facial palsy measurement alignment and clinical interpretable model46
Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education46
Federated target trial emulation using distributed observational data for treatment effect estimation46
Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography46
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)45
Digital twins for the era of personalized surgery45
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials45
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI45
Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis45
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions44
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor44
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany44
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis44
Towards precision medicine based on a continuous deep learning optimization and ensemble approach44
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review43
Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration43
Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer43
Medical foundation large language models for comprehensive text analysis and beyond43
Regular snoring is associated with uncontrolled hypertension43
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression43
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art43
Assessing and alleviating state anxiety in large language models42
Explainable artificial intelligence for mental health through transparency and interpretability for understandability42
Digital health application integrating wearable data and behavioral patterns improves metabolic health42
A strategy for cost-effective large language model use at health system-scale42
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias42
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective42
A critical assessment of using ChatGPT for extracting structured data from clinical notes42
How predictive medicine leads to solidarity gaps in health42
Capturing relationships between suturing sub-skills to improve automatic suturing assessment41
Has increased telehealth access during COVID-19 led to over-utilization of primary care?41
Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline41
Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data41
From ageing clocks to human digital twins in personalising healthcare through biological age analysis40
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults40
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial39
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes39
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information39
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China39
AI-driven preclinical disease risk assessment using imaging in UK biobank39
A systematic review of digital and face-to-face cognitive behavioral therapy for depression39
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust38
Culture-free detection of bacteria from blood for rapid sepsis diagnosis38
Legal implications of AI standard of care integration on patients’ informed consent: lessons from surgery38
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game38
Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools37
Implementation of cloud computing in the German healthcare system37
Smartphone keyboard dynamics predict affect in suicidal ideation37
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations37
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features37
Towards trustworthy seizure onset detection using workflow notes37
Clinical entity augmented retrieval for clinical information extraction36
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins36
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
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review36
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem36
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation36
Considerations for addressing bias in artificial intelligence for health equity35
Collection of the digital data from the neurological examination35
A framework for human evaluation of large language models in healthcare derived from literature review35
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis35
Computer vision in surgery: from potential to clinical value35
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study34
Author Correction: Small language models learn enhanced reasoning skills from medical textbooks34
Author Correction: A computational framework for discovering digital biomarkers of glycemic control34
Deep learning to quantify care manipulation activities in neonatal intensive care units34
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer34
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence34
Overcoming biases of individual level shopping history data in health research33
Considerations for integrating wearables into the everyday healthcare practice33
Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach33
Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness33
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins33
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico33
Medical domain knowledge in domain-agnostic generative AI33
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications32
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