OOIR: Observatory of International Research

Papers

(The H4-Index of npj Digital Medicine is 67. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Defining digital surgery for the future	499
Addressing racial disparities in surgical care with machine learning	450
AI-based skin cancer detection: the balance between access and overutilization	415
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	353
Early adverse physiological event detection using commercial wearables: challenges and opportunities	332
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	281
Dose–response relationship between computerized cognitive training and cognitive improvement	258
Efficient cellular annotation of histopathology slides with real-time AI augmentation	217
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data	216
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	211
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	192
Clinically meaningful interpretability of an AI model for ECG classification	184
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	182
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	168
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	167
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	163
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	159
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard	157
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	157
The impact of inconsistent human annotations on AI driven clinical decision making	145
India’s evolving digital health strategy	142
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	138
Why we should not mistake accuracy of medical AI for efficiency	134
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa	132
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	131

Watching Parkinson’s disease with wrist-based sensors	131
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	128
Effectiveness of automated alerting system compared to usual care for the management of sepsis	120
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	120
Empowering clinical research in a decentralized world	120
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	118
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	117
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation	117
A scoping review of reporting gaps in FDA-approved AI medical devices	116
An active inference strategy for prompting reliable responses from large language models in medical practice	108
Improving medical machine learning models with generative balancing for equity and excellence	105
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	104
Large language model agents can use tools to perform clinical calculations	103
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	101
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	100
Making machine learning matter to clinicians: model actionability in medical decision-making	99
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial	95
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	94
Classification of intracranial pressure epochs using a novel machine learning framework	94
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	92
Combined telemonitoring and telecoaching for heart failure improves outcome	91
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	90
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	88
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	87
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	87
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	86
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	85
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	84
Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials	83
Disparities in cannabis use and documentation in electronic health records among children and young adults	83
A scoping review of ethical aspects of public-private partnerships in digital health	81
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	78
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology	78
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	77
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy	77
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	77
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”	76
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation	73
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	71
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI	69
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	68
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	68
The impact of expanded telehealth availability on primary care utilization	67