OOIR: Observatory of International Research

Papers

(The H4-Index of npj Digital Medicine is 64. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Deep learning-enabled medical computer vision	609
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis	380
Machine learning-based prediction of COVID-19 diagnosis based on symptoms	352
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction	331
The imperative for regulatory oversight of large language models (or generative AI) in healthcare	283
A large language model for electronic health records	266
Machine learning for medical imaging: methodological failures and recommendations for the future	265
Digital inclusion as a social determinant of health	250
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers	230
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review	195
Do as AI say: susceptibility in deployment of clinical decision-aids	191
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies	179
The emerging clinical role of wearables: factors for successful implementation in healthcare	176
Second opinion needed: communicating uncertainty in medical machine learning	174
A framework for digital health equity	173
Assessment of physiological signs associated with COVID-19 measured using wearable devices	158
U-Sleep: resilient high-frequency sleep staging	157
Patient apprehensions about the use of artificial intelligence in healthcare	156
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study	151
Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery	149
Digital medicine and the curse of dimensionality	139
Natural language processing applied to mental illness detection: a narrative review	139
Multimodal machine learning in precision health: A scoping review	130
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare	121
Interpretable survival prediction for colorectal cancer using deep learning	120

The potential of artificial intelligence to improve patient safety: a scoping review	114
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software	104
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19	102
A systematic review of smartphone-based human activity recognition methods for health research	101
Digital health tools for the passive monitoring of depression: a systematic review of methods	100
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation	98
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field	97
Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement	96
Tracking COVID-19 using online search	94
Characteristics and challenges of the clinical pipeline of digital therapeutics	93
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department	93
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system	88
Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review	88
Self-supervised learning for medical image classification: a systematic review and implementation guidelines	87
Predicting COVID-19 mortality with electronic medical records	86
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation	85
The shaky foundations of large language models and foundation models for electronic health records	84
Privacy protections to encourage use of health-relevant digital data in a learning health system	83
Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use	83
Evaluating large language models on medical evidence summarization	80
Digital biomarkers: Convergence of digital health technologies and biomarkers	80
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?	80
Large language models propagate race-based medicine	79
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	79
Digital health interventions in palliative care: a systematic meta-review	76
Automated coronary calcium scoring using deep learning with multicenter external validation	75
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images	71
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia	70
Privacy-first health research with federated learning	69
Barriers and facilitators to utilizing digital health technologies by healthcare professionals	69
Health app policy: international comparison of nine countries’ approaches	69
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review	68
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography	67
Integrated multimodal artificial intelligence framework for healthcare applications	67
Machine learning in vascular surgery: a systematic review and critical appraisal	65
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy	65
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review	64
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization	64
Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion	64