Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
arXiv:2606.27484v1 Announce Type: new Abstract: Autism spectrum disorder (ASD) affects 1 in 31 US children, yet median age at diagnosis exceeds four years. Artificial intelligence pipelines that provide quantified diagnosis using easy to access observational data (e.g., home videos) could help with earlier diagnosis, and timely delivery of early treatments. We fine-tuned Gemini 2.5 Pro on 400 clinician-rated home videos with low-rank adaptation, training only on 30 behavioral features previously...
arXiv cs.CV
·Mohammadmahdi Honarmand, Parnian Azizian, Aaron Kline, Kae Nurge, Zerin Nasrin Tumpa, Saimourya Surabhi, Kaitlyn Dunlap, Yang Qian, Ali Kargarandehkordi, Sameer Neupane, Peter Washington, Dennis P. Wall
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