OOIR: Observatory of International Research

Papers

(The H4-Index of npj Digital Medicine is 77. 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.)

Article	Citations
AI-based skin cancer detection: the balance between access and overutilization	687
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	634
Addressing racial disparities in surgical care with machine learning	457
Seasonal timing and interindividual differences in shiftwork adaptation	449
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	394
Watching Parkinson’s disease with wrist-based sensors	382
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	360
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	355
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning	336
Metabolomic characterization of frailty identifies subtype-specific management strategies	303
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	300
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	279
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	273
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury	261
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	257
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	254
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	251
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	246
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	240
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable	239
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	225
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	217
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	210
Multimodal analysis of whole slide images in colorectal cancer	210
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	194

Patient agency and large language models in worldwide encoding of equity	191
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential	189
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	186
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning	182
India’s evolving digital health strategy	177
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	171
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI	170
Incorporating large language models as clinical decision support in oncology: the Woollie model	165
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	158
Establishing organizational AI governance in healthcare: a case study in Canada	154
Unobtrusive inference of diurnal rhythms from smartphone data	149
Defining digital surgery for the future	149
Policy brief: ambient AI scribes and the coding arms race	138
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	136
Clinically meaningful interpretability of an AI model for ECG classification	135
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	133
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	128
Will AI become our Co-PI?	127
Why we should not mistake accuracy of medical AI for efficiency	124
Effectiveness of automated alerting system compared to usual care for the management of sepsis	123
Dose–response relationship between computerized cognitive training and cognitive improvement	121
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	116
Early adverse physiological event detection using commercial wearables: challenges and opportunities	116
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	110
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	108
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	106
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	105
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	103
Computational network models for forecasting and control of mental health trajectories in digital applications	99
Small language models learn enhanced reasoning skills from medical textbooks	97
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	95
The impact of inconsistent human annotations on AI driven clinical decision making	94
A scoping review of reporting gaps in FDA-approved AI medical devices	92
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	91
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	91
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	86
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	86
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	85
The relation between passively collected data and PTSD: a systematic review and meta-analysis	85
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	85
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	85
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	84
Demographic bias in public remote photoplethysmography datasets	83
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow	80
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery	79
Matters arising: Utilizing foundation models for developing clinical tools	79
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	79
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	79
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	79
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	77

AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions	77
Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study	77