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A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
Liu, Xiaoxuan; Faes, Livia; Kale, Aditya U; Wagner, Siegfried K; Fu, Dun Jack; Bruynseels, Alice; Mahendiran, Thushika; Moraes, Gabriella; Shamdas, Mohith; Kern, Christoph; Ledsam, Joseph R; Schmid, Martin K; Balaskas, Konstantinos; Topol, Eric J; Bachmann, Lucas M; Keane, Pearse A; Denniston, Alastair K.
Affiliation
  • Liu X; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK; Medical Retina Department, Moorfields Eye Hospi
  • Faes L; Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK; Eye Clinic, Cantonal Hospital of Lucerne, Lucerne, Switzerland.
  • Kale AU; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Wagner SK; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Fu DJ; Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Bruynseels A; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Mahendiran T; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Moraes G; Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
  • Shamdas M; Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
  • Kern C; Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK; University Eye Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
  • Ledsam JR; DeepMind, London, UK.
  • Schmid MK; Eye Clinic, Cantonal Hospital of Lucerne, Lucerne, Switzerland.
  • Balaskas K; Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Topol EJ; Scripps Research Translational Institute, La Jolla, California.
  • Bachmann LM; Medignition, Research Consultants, Zurich, Switzerland.
  • Keane PA; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK; Health Data Research UK, London, UK.
  • Denniston AK; Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK; Centre for Patient Reported Outcome Research, I
Lancet Digit Health ; 1(6): e271-e297, 2019 10.
Article in En | MEDLINE | ID: mdl-33323251
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diagnostic Imaging / Health Personnel / Deep Learning Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: Lancet Digit Health Year: 2019 Document type: Article Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diagnostic Imaging / Health Personnel / Deep Learning Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: Lancet Digit Health Year: 2019 Document type: Article Country of publication: Reino Unido