npj Digital Medicine

Papers
(The H4-Index of npj Digital Medicine is 87. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study824
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI764
Seasonal timing and interindividual differences in shiftwork adaptation548
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users536
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury526
Challenges in applying the EU AI act research exemptions to contemporary AI research487
Promoting racial equity in digital health: applying a cross-disciplinary equity framework435
Dose–response relationship between computerized cognitive training and cognitive improvement431
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program396
Will AI become our Co-PI?343
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery333
Protecting clinical value judgment in the age of AI328
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations317
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality316
Addressing racial disparities in surgical care with machine learning312
Unobtrusive inference of diurnal rhythms from smartphone data301
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers294
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health293
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences289
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial272
Metabolomic characterization of frailty identifies subtype-specific management strategies271
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management263
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality255
Incorporating large language models as clinical decision support in oncology: the Woollie model243
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma240
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning239
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole220
Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography215
Computational network models for forecasting and control of mental health trajectories in digital applications208
Effectiveness of automated alerting system compared to usual care for the management of sepsis201
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data190
AI-based skin cancer detection: the balance between access and overutilization188
Patient agency and large language models in worldwide encoding of equity186
Foundation model embeddings for multimodal oncology data integration182
DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification175
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector175
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential167
Defining digital surgery for the future165
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data154
Policy brief: ambient AI scribes and the coding arms race153
Watching Parkinson’s disease with wrist-based sensors151
Establishing organizational AI governance in healthcare: a case study in Canada141
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy139
Early adverse physiological event detection using commercial wearables: challenges and opportunities138
Large language models-enabled digital twins for precision medicine in rare gynecological tumors138
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information136
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis127
Why we should not mistake accuracy of medical AI for efficiency126
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education122
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning119
Clinically meaningful interpretability of an AI model for ECG classification116
Small language models learn enhanced reasoning skills from medical textbooks114
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation112
Use of AI scribes in UK primary care: a survey of general practitioners112
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making108
Multimodal analysis of whole slide images in colorectal cancer108
An adversarial training framework for mitigating algorithmic biases in clinical machine learning108
A randomized trial of a mobile health intervention to augment cardiac rehabilitation106
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable105
India’s evolving digital health strategy102
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records102
The impact of inconsistent human annotations on AI driven clinical decision making101
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning98
Real world evidence for altered communication patterns in individuals with autism spectrum disorder97
A scoping review of reporting gaps in FDA-approved AI medical devices97
Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT97
Predicting outcomes following endovascular aortoiliac revascularization using machine learning97
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology96
Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study96
Using digital technologies to diagnose in the home: recommendations from a Delphi panel95
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features95
Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia94
Real-time AI-assisted quality control during nasopharyngolaryngoscopy: a randomized controlled trial94
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty92
Combined telemonitoring and telecoaching for heart failure improves outcome92
The impact of expanded telehealth availability on primary care utilization91
Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors91
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors91
An active inference strategy for prompting reliable responses from large language models in medical practice90
Disparities in cannabis use and documentation in electronic health records among children and young adults90
Improving medical machine learning models with generative balancing for equity and excellence90
Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China89
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions89
Real-world multicenter assessment of sustained clinical outcomes after digital deep brain stimulation88
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery88
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial88
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation87
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