CAPI-detect: machine learning in capillaroscopy reveals new variables influencing diagnosis
Rheumatology (Oxford). 2025 Feb 7:keaf073.
February 2025
Details ➔Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy
Rheumatology (Oxford). 2024 Mar 26:keae197.
March 2024
Details ➔External clinical validation of automated software to identify structural abnormalities and microhaemorrhages in nailfold videocapillaroscopy images
Clin Exp Rheumatol. 2023 Aug;41(8):1605–1611.
August 2023
Details ➔The challenge of comprehensive nailfold videocapillaroscopy practice: a further contribution
Clin Exp Rheumatol. 2022 Oct;40(10):1926–1932.
October 2022
Details ➔POS0904 UNLOCKING PRECISION IN CAPILLAROSCOPY: EXTERNAL VALIDATION OF THE CAPI-SCORE ALGORITHM FOR ACCURATE PATTERN IDENTIFICATION IN NAILFOLD VIDEOCAPILLAROSCOPY
Annals of the Rheumatic Diseases 2024;83:1143-1144.
June 2024
Details ➔POS0907 THE SIGNIFICANCE OF ANALYSED MILLIMETERS IN INTERPRETING NAILFOLD CAPILLAROSCOPY IMAGES
Annals of the Rheumatic Diseases 2024;83:1146-1147.
June 2024
Details ➔POS0256 AUTOMATED CAPILLARY DETECTION AND IMAGE ANALYSIS SOFTWARE IN CAPILLAROSCOPY: CAPILLARY.IO
Annals of the Rheumatic Diseases 2021;80:350-351.
January 2021
Details ➔POS1408 REPRODUCIBILITY OF A NEW AUTOMATIC SYSTEM (CAPILLARY.IO) IN THE ANALYSIS OF NAILFOLD CAPILLAROSCOPY IMAGES
Annals of the Rheumatic Diseases 2021;80:987.
January 2021
Details ➔POS1409 AUTOMATED DETECTION OF SCLERODERMIFORM PATTERNS USING CAPILLARY.IO
Annals of the Rheumatic Diseases 2021;80:987-988.
January 2021
Details ➔