npj Digital Medicine

Papers
(The H4-Index of npj Digital Medicine is 71. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
AI-based skin cancer detection: the balance between access and overutilization604
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information525
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy406
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers395
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program319
Will AI become our Co-PI?318
Large language models-enabled digital twins for precision medicine in rare gynecological tumors275
A randomized trial of a mobile health intervention to augment cardiac rehabilitation267
Clinically meaningful interpretability of an AI model for ECG classification259
Promoting racial equity in digital health: applying a cross-disciplinary equity framework250
Patient agency and large language models in worldwide encoding of equity231
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data225
Dose–response relationship between computerized cognitive training and cognitive improvement225
Watching Parkinson’s disease with wrist-based sensors220
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations218
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma204
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial203
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences195
India’s evolving digital health strategy188
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making184
Why we should not mistake accuracy of medical AI for efficiency183
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery182
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality178
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users170
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data167
Addressing racial disparities in surgical care with machine learning165
Establishing organizational AI governance in healthcare: a case study in Canada160
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation157
Incorporating large language models as clinical decision support in oncology: the Woollie model153
Seasonal timing and interindividual differences in shiftwork adaptation149
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation146
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management141
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector141
Effectiveness of automated alerting system compared to usual care for the management of sepsis139
Efficient cellular annotation of histopathology slides with real-time AI augmentation126
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation126
Small language models learn enhanced reasoning skills from medical textbooks120
Early adverse physiological event detection using commercial wearables: challenges and opportunities120
Defining digital surgery for the future116
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health115
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data112
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education112
An adversarial training framework for mitigating algorithmic biases in clinical machine learning110
The impact of inconsistent human annotations on AI driven clinical decision making110
A scoping review of reporting gaps in FDA-approved AI medical devices104
Classification of intracranial pressure epochs using a novel machine learning framework101
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry101
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning99
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 arthroplasty96
The impact of expanded telehealth availability on primary care utilization94
The relation between passively collected data and PTSD: a systematic review and meta-analysis90
Improving medical machine learning models with generative balancing for equity and excellence89
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease88
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling87
An active inference strategy for prompting reliable responses from large language models in medical practice87
A scoping review of ethical aspects of public-private partnerships in digital health86
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation83
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome82
Disparities in cannabis use and documentation in electronic health records among children and young adults82
Using digital technologies to diagnose in the home: recommendations from a Delphi panel81
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response81
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology79
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland78
Real world evidence for altered communication patterns in individuals with autism spectrum disorder77
Combined telemonitoring and telecoaching for heart failure improves outcome75
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’74
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners73
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials73
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle72
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation71
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