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 2021-08-01 to 2025-08-01.)

Article	Citations
AI-based skin cancer detection: the balance between access and overutilization	587
Efficient cellular annotation of histopathology slides with real-time AI augmentation	501
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	392
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	380
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	307
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	307
Dose–response relationship between computerized cognitive training and cognitive improvement	261
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	259
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	251
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	224
Patient agency and large language models in worldwide encoding of equity	219
Will AI become our Co-PI?	216
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	210
Defining digital surgery for the future	205
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	194
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	191
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard	190
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	183
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	177
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	175
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	168
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	166
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	162
Seasonal timing and interindividual differences in shiftwork adaptation	159
Addressing racial disparities in surgical care with machine learning	156

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	151
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	148
Clinically meaningful interpretability of an AI model for ECG classification	146
Watching Parkinson’s disease with wrist-based sensors	144
Early adverse physiological event detection using commercial wearables: challenges and opportunities	141
A scoping review of reporting gaps in FDA-approved AI medical devices	135
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	134
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	134
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	132
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	116
India’s evolving digital health strategy	114
Effectiveness of automated alerting system compared to usual care for the management of sepsis	114
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	114
The impact of inconsistent human annotations on AI driven clinical decision making	112
Why we should not mistake accuracy of medical AI for efficiency	110
Small language models learn enhanced reasoning skills from medical textbooks	108
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	107
Classification of intracranial pressure epochs using a novel machine learning framework	106
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	105
The impact of expanded telehealth availability on primary care utilization	102
The relation between passively collected data and PTSD: a systematic review and meta-analysis	101
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	98
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	98
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	96
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	95
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	92
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	92
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	88
Combined telemonitoring and telecoaching for heart failure improves outcome	87
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	86
Large language model agents can use tools to perform clinical calculations	85
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	84
Disparities in cannabis use and documentation in electronic health records among children and young adults	84
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	81
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	80
A scoping review of ethical aspects of public-private partnerships in digital health	79
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	79
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	76
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	75
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	73
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials	73
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling	73
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”	72
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	72
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	71
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI	71