World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13548
World Ranking
5257
National Ranking
314

Overview

David A. Clifton is affiliated with the University of Oxford in the United Kingdom. Their academic work spans fields primarily centered on medicine and computer science, with a notable focus on artificial intelligence and its application in healthcare.

Clifton's research portfolio includes contributions to the following subfields:

  • Artificial Intelligence
  • Cardiology and Cardiovascular Medicine
  • Radiology, Nuclear Medicine and Imaging
  • Health Information Management
  • Computer Vision and Pattern Recognition

The main topics covered in Clifton's work include:

  • Machine Learning in Healthcare
  • Topic Modeling
  • COVID-19 Diagnosis Using AI
  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare
  • Non-Invasive Vital Sign Monitoring
  • Natural Language Processing Techniques

Clifton has published research in several prominent venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Journal of Biomedical and Health Informatics
  • npj Digital Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers authored or co-authored by Clifton reflect a focus on AI methodologies and clinical decision support systems. Notable publications are:

  • "Multimodal Learning With Transformers: A Survey" (2023), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI" (2022), Nature Medicine
  • "Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic" (2020), IEEE Reviews in Biomedical Engineering
  • "Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI" (2022), BMJ
  • "Machine Learning for Clinical Outcome Prediction" (2020), IEEE Reviews in Biomedical Engineering

Frequent co-authors in Clifton's collaborative network include:

  • Tingting Zhu
  • Anshul Thakur
  • Andrew A. S. Soltan
  • David W. Eyre
  • Jenny Yang

Best Publications

  • Review: A review of novelty detection

    Marco A. F. Pimentel;David A. Clifton;Lei Clifton;Lionel Tarassenko

  • Multimodal Learning With Transformers: A Survey

    Unknown

  • Non-contact video-based vital sign monitoring using ambient light and auto-regressive models

    L Tarassenko;M Villarroel;A Guazzi;J Jorge

  • Machine Learning and Decision Support in Critical Care

    Alistair E. W. Johnson;Mohammad M. Ghassemi;Shamim Nemati;Katherine E. Niehaus

  • Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring

    Christina Orphanidou;Timothy Bonnici;Peter Charlton;David Clifton

  • Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

    Peter H. Charlton;Drew A. Birrenkott;Timothy Bonnici;Marco A. F. Pimentel

  • An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram

    Peter Harcourt Charlton;Timothy Alexander Bonnici;Timothy Alexander Bonnici;Lionel Tarassenko;David Clifton

  • Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

    Marco A. F. Pimentel;Alistair E. W. Johnson;Peter H. Charlton;Drew Birrenkott

  • Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.

    D J Meredith;D Clifton;Peter Charlton;J Brooks

  • Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

    Xiaorong Ding;David Clifton;Nan Ji;Nigel H. Lovell

  • A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data

    Marzyeh Ghassemi;Marco A. F. Pimentel;Tristan Naumann;Thomas Brennan

  • Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors

    Lei Clifton;David A. Clifton;Marco A. F. Pimentel;Peter J. Watkinson

  • Wireless Technology in Disease Management and Medicine

    Gari D. Clifford;David Clifton

  • Multitask Gaussian processes for multivariate physiological time-series analysis.

    R Dürichen;MA Pimentel;L Clifton;A Schweikard

  • Machine Learning for Clinical Outcome Prediction

    Farah Shamout;Tingting Zhu;David A. Clifton

  • A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram.

    Paul A. Leonard;J. Graham Douglas;Neil R. Grubb;David Clifton

  • Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.

    Yang Yang;Katherine E Niehaus;Timothy M Walker;Zamin Iqbal

  • DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

    B Vasey;DA Clifton;GS Collins;AK Denniston

  • Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors

    L. Clifton;D. A. Clifton;Marco A. F. Pimentel;P. J. Watkinson

  • Novelty Detection with Multivariate Extreme Value Statistics

    David Andrew Clifton;Samuel Hugueny;Lionel Tarassenko

  • Identification of patient deterioration in vital-sign data using one-class support vector machines

    Lei Clifton;David A. Clifton;Peter J. Watkinson;Lionel Tarassenko

  • Measurement Of Respiratory Rate From the Photoplethysmogram In Chest Clinic Patients

    David Clifton;J. Graham Douglas;Paul S. Addison;James N. Watson

Frequent Co-Authors

Lionel Tarassenko
Lionel Tarassenko University of Oxford
Derrick W. Crook
Derrick W. Crook University of Oxford
Tim E. A. Peto
Tim E. A. Peto University of Oxford
David W. Eyre
David W. Eyre University of Oxford
Gari D. Clifford
Gari D. Clifford Emory University
Daniel J. Wilson
Daniel J. Wilson University of Oxford
A. Sarah Walker
A. Sarah Walker University of Oxford
James Nicholas Watson
James Nicholas Watson Edinburgh Napier University
Christopher W. Pugh
Christopher W. Pugh University of Oxford
Gil McVean
Gil McVean University of Oxford

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