OOIR: Observatory of International Research

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 2021-11-01 to 2025-11-01.)

Article	Citations
AI-based skin cancer detection: the balance between access and overutilization	656
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	575
Seasonal timing and interindividual differences in shiftwork adaptation	429
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	420
Defining digital surgery for the future	356
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	341
Clinically meaningful interpretability of an AI model for ECG classification	323
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	302
Patient agency and large language models in worldwide encoding of equity	299
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	276
The impact of inconsistent human annotations on AI driven clinical decision making	261
Why we should not mistake accuracy of medical AI for efficiency	258
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	246
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	238
Will AI become our Co-PI?	237
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	222
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	219
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	210
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	210
A scoping review of reporting gaps in FDA-approved AI medical devices	208
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	203
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	199
Incorporating large language models as clinical decision support in oncology: the Woollie model	194
Establishing organizational AI governance in healthcare: a case study in Canada	175
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	172

Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	172
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	171
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	170
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	161
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	157
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	154
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	150
Early adverse physiological event detection using commercial wearables: challenges and opportunities	147
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	142
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	134
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	132
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	127
Dose–response relationship between computerized cognitive training and cognitive improvement	125
Efficient cellular annotation of histopathology slides with real-time AI augmentation	122
Effectiveness of automated alerting system compared to usual care for the management of sepsis	120
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	118
Watching Parkinson’s disease with wrist-based sensors	113
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	112
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	112
Addressing racial disparities in surgical care with machine learning	111
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	105
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	104
India’s evolving digital health strategy	104
Small language models learn enhanced reasoning skills from medical textbooks	103
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	97
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	96
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	95
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	95
Disparities in cannabis use and documentation in electronic health records among children and young adults	91
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	91
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	89
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	85
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	84
The relation between passively collected data and PTSD: a systematic review and meta-analysis	83
Classification of intracranial pressure epochs using a novel machine learning framework	81
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	79
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	79
Combined telemonitoring and telecoaching for heart failure improves outcome	79
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	77
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior	76
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	75
Demographic bias in public remote photoplethysmography datasets	75
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow	74
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	74
Improving medical machine learning models with generative balancing for equity and excellence	73
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	72
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	71
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	71