A preliminary evaluation of the diagnostic performance of a smartphone-based machine learning-assisted system for evaluation of clinical activity score in digital images of thyroid-associated orbitopathy

CONCLUSIONS: Our smartphone-based ML-assisted system shows reasonable accuracy in detecting active TAO, comparable to oculoplastic specialists and outperforming residents and general ophthalmologists. It may enable reliable self-monitoring for disease activity, but confirmatory research is needed for clinical application.CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, NCT05731154.PMID:38623815 | DOI:10.1089/thy.2023.0621

Source: Thyroid : official journal of the American Thyroid Association - April 16, 2024 Category: Endocrinology Authors: Kyubo Shin Hokyung Choung Min Joung Lee Jongchan Kim Gyeong Min Lee Seongmi Kim Jae Hyuk Kim Richul Oh Jisun Park Sang Muk Lee Jaemin Park Namju Kim Jae Hoon Moon Source Type: research