OOIR: Observatory of International Research

Papers

(The H4-Index of npj Digital Medicine is 86. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Seasonal timing and interindividual differences in shiftwork adaptation	799
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	745
Effectiveness of automated alerting system compared to usual care for the management of sepsis	516
Clinically meaningful interpretability of an AI model for ECG classification	516
AI-based skin cancer detection: the balance between access and overutilization	509
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	470
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning	416
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	401
Challenges in applying the EU AI act research exemptions to contemporary AI research	379
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	331
Will AI become our Co-PI?	320
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	318
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	313
Dose–response relationship between computerized cognitive training and cognitive improvement	309
Watching Parkinson’s disease with wrist-based sensors	308
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	304
Defining digital surgery for the future	289
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	283
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole	276
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	270
Incorporating large language models as clinical decision support in oncology: the Woollie model	262
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	248
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning	247
India’s evolving digital health strategy	241
Computational network models for forecasting and control of mental health trajectories in digital applications	233

Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography	226
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable	226
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	211
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	196
A scoping review of reporting gaps in FDA-approved AI medical devices	193
The impact of inconsistent human annotations on AI driven clinical decision making	185
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential	180
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	179
Why we should not mistake accuracy of medical AI for efficiency	177
Patient agency and large language models in worldwide encoding of equity	170
Small language models learn enhanced reasoning skills from medical textbooks	166
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	164
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	163
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	161
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury	150
Addressing racial disparities in surgical care with machine learning	149
DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification	143
Early adverse physiological event detection using commercial wearables: challenges and opportunities	143
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning	138
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	136
Multimodal analysis of whole slide images in colorectal cancer	132
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	127
Policy brief: ambient AI scribes and the coding arms race	126
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI	125
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	117
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	117
Foundation model embeddings for multimodal oncology data integration	116
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	114
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	113
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	112
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	107
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	107
Protecting clinical value judgment in the age of AI	106
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	104
Unobtrusive inference of diurnal rhythms from smartphone data	104
Metabolomic characterization of frailty identifies subtype-specific management strategies	103
Establishing organizational AI governance in healthcare: a case study in Canada	101
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	101
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	98
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	96
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR	95
Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT	95
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	94
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	93
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow	92
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions	92
An active inference strategy for prompting reliable responses from large language models in medical practice	91
Improving medical machine learning models with generative balancing for equity and excellence	90
Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images	90
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	90

Disparities in cannabis use and documentation in electronic health records among children and young adults	89
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems	89
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	88
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	87
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery	87
Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation	86
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	86
Matters arising: Utilizing foundation models for developing clinical tools	86
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images	86
Classification of intracranial pressure epochs using a novel machine learning framework	86
A Global meta-analysis of digital divide in psychiatric population from 2004 to 2023	86