David A. Clifton

George Institute for Global Health — United Kingdom

Computer Science · Physical Sciences

55h-index13.8kcitations451works7.72yr avg
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Research Topics

Machine Learning in Healthcare(91), Non-Invasive Vital Sign Monitoring(60), Healthcare Technology and Patient Monitoring(43), Hemodynamic Monitoring and Therapy(41), Topic Modeling(37)

Publications451 total

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
arXiv (Cornell University)·2025Open Access
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
arXiv (Cornell University)·2025Open Access
Abstract 4362776: Multimodal and Serial Electrocardiogram and Chest X-ray Age Have Prognostic Significance as Biomarkers for Cardiovascular Health
Circulation·2025
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation
Journal of Medical Internet Research·2025Open Access
Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation
iScience·2025Open Access
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)
2025Open Access
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
arXiv (Cornell University)·2025Open Access
A global log for medical AI
arXiv (Cornell University)·2025Open Access
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
arXiv (Cornell University)·2025Open Access
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
arXiv (Cornell University)·2025Open Access
Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study
The Lancet Digital Health·2025Open Access
Foundation Models for Biosignals: A Survey
2025Open Access
Sample Selection Bias in Machine Learning for Healthcare
ACM Transactions on Computing for Healthcare·2025· 5 cited
Beyond Correlations: The Necessity and the Challenges of Causal AI
2025· 1 citedOpen Access
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
Clinical Imaging·2025· 2 citedOpen Access
Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model
IEEE Journal of Biomedical and Health Informatics·2025· 7 cited
Navigating Severe Class Imbalance in Population Cohort Data
2025
Efficient Task Grouping Through Sample-Wise Optimisation Landscape Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025Open Access
Generative AI and unstructured audio data for precision public health
npj Health Systems·2025· 1 citedOpen Access
Optimization-Inspired Few-Shot Adaptation for Large Language Models
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Lionel Tarassenko(15), Peter Watkinson(13), Marco A. F. Pimentel(9), Lei Clifton(9), Peter Charlton(8), Tingting Zhu(8), Timothy Bonnici(4), Andrew A. S. Soltan(4), David W. Eyre(4), Richard Beale(3), Drew A. Birrenkott(3), Jenny Yang(3), Gari D. Clifford(3), Tim Peto(3), Baptiste Vasey(2), Bruce Campbell(2), Gary S. Collins(2), Spiros Denaxas(2), Alastair K. Denniston(2), Livia Faes(2)