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articleTop 1% cited

Clinically applicable deep learning for diagnosis and referral in retinal disease

Nature Medicine · 2018 · Vol. 24(9) · pp. 1342–1350
Jeffrey De FauwJoseph R. LedsamBernardino Romera‐ParedesStanislav NikolovNenad TomaševSam BlackwellHarry AskhamXavier GlorotBrendan O’DonoghueDaniel VisentinGeorge van den DriesscheBalaji LakshminarayananClemens MeyerFaith MackinderS. Miles BoutonKareem AyoubReena ChopraDominic KingAlan KarthikesalingamCían HughesRosalind RaineJ. Randall HughesDawn A. SimCatherine EganAdnan TufailHugh MontgomeryDemis HassabisGeraint ReesTrevor BackPeng T. KhawMustafa SuleymanJulien CornebisePearse A. KeaneOlaf Ronneberger
Retinal Imaging and AnalysisOptical Coherence Tomography ApplicationsRetinal and Optic ConditionsReferralComputer scienceOptical coherence tomographyArtificial intelligenceDeep learningPaceData setMedical physicsMedicineTraining set

MeSH terms

Clinical Decision-MakingDeep LearningAgedFemaleHumansMaleMiddle AgedReferral and ConsultationRetinaRetinal DiseasesTomography, Optical Coherence

Funding

  • DeepMind
  • Santen
  • Heidelberg Engineering
Citations
2,512
FWCI
210.42
field-weighted impact
References
41
Percentile
100%
vs. same field & year
Citations per year
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Clinically applicable deep learning for diagnosis and referral in retinal disease · Scinovex