OOIR: Observatory of International Research

Papers

(The H4-Index of npj Digital Medicine is 93. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI	898
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	807
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury	649
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	624
Will AI become our Co-PI?	570
Addressing racial disparities in surgical care with machine learning	544
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	506
Metabolomic characterization of frailty identifies subtype-specific management strategies	469
Defining digital surgery for the future	426
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning	368
Unobtrusive inference of diurnal rhythms from smartphone data	363
Clinical outcomes and reporting quality of large language model interventions in practice: a systematic evidence map	362
Human expertise or artificial intelligence? A prospective study on nail disorder diagnosis	349
Data and knowledge-driven imaging biomarkers for lumbar aging and degenerative risk stratification monitoring	344
Forecasting Alzheimer’s disease progression via identity-preserved denoising diffusion generative adversarial network	341
Use of AI scribes in UK primary care: a survey of general practitioners	338
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	336
Human–AI collaboration for dysphagia rehabilitation from effectiveness to implementation complexity: a systematic review	327
Incorporating large language models as clinical decision support in oncology: the Woollie model	324
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole	315
Why we should not mistake accuracy of medical AI for efficiency	303
Foundation model embeddings for multimodal oncology data integration	302
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	292
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	281
Challenges in applying the EU AI act research exemptions to contemporary AI research	270

Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	266
Seasonal timing and interindividual differences in shiftwork adaptation	264
DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification	251
India’s evolving digital health strategy	250
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning	235
Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography	214
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	212
Dose–response relationship between computerized cognitive training and cognitive improvement	201
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	193
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	191
Early adverse physiological event detection using commercial wearables: challenges and opportunities	189
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	177
The impact of inconsistent human annotations on AI driven clinical decision making	175
QoQ-Med3: a multimodal reasoning foundation model for clinical analysis	170
Clinically meaningful interpretability of an AI model for ECG classification	166
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	163
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	155
A clinician aligned vision language framework for stepwise interpretation in fundus fluorescein angiography	148
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	147
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable	146
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	145
AI-based skin cancer detection: the balance between access and overutilization	137
Brain contrastive modeling reveals depression subtypes with distinct treatment response and progression	136
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	134
Multimodal analysis of whole slide images in colorectal cancer	134
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	126
Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage	125
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	125
Protecting clinical value judgment in the age of AI	124
Small language models learn enhanced reasoning skills from medical textbooks	124
Patient agency and large language models in worldwide encoding of equity	122
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	120
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	120
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	119
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning	119
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	116
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	115
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	113
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential	112
Computational network models for forecasting and control of mental health trajectories in digital applications	112
Policy brief: ambient AI scribes and the coding arms race	112
Establishing organizational AI governance in healthcare: a case study in Canada	112
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	108
A scoping review of reporting gaps in FDA-approved AI medical devices	107
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	107
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	106
Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT	105
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	104
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	104
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features	103

Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China	102
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	102
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	101
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	101
Identifying what works in mental health apps through meta-regression analyses of 169 trials	99
Matters arising: Utilizing foundation models for developing clinical tools	99
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	99
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images	98
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR	98
Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework	98
Impact of the new European medical device regulation on digital health manufacturers	98
Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images	98
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	96
A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability	95
Development and application of an intelligent assessment system for medical clinical skill training	95
Real-time AI-assisted quality control during nasopharyngolaryngoscopy: a randomized controlled trial	94
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery	93
Age, emotional burden and deep brain stimulation electrode location shape Parkinson’s disease quality of life	93
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions	93
A scoping review of ethical aspects of public-private partnerships in digital health	93
Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation	93