FastEval Parkinsonism: an instant deep learning-assisted video-based online system for Parkinsonian motor symptom evaluation.

"source codes are available at a github repository ( https://github com/yuyuan871111/fast_eval_parkinsonism ) under an apache-2 0 license."

"Competing interests The authors declare no competing interests."

"We thank Ciao-Sin Chen, Wen-Ying Hsieh, Zhi-Chi Li, Yin-Ru Zhuo, Ching-Jung Huang, Pei-Jiun Chuang, Li-Wei Huang, En-Yun Yang for collecting the data. We thank the staff in the Center for Parkinson and Movement Disorders of the NTUH and NTUCC for providing us with adequate space to enroll patients. We thank Pei-Jiun Chuang for the manuscript modification. We thank Tien-Chueh Kuo for implementing the public version of the FastEval Parkinsonism website. We thank Bo-Han Su for giving invaluable advices and guidance for this study. Two AI tools, ChatGPT and Grammarly, were used to correct the grammar of this article. This work was supported by: the National Science and Technology Council (NSTC 111-2320-B-002-043-MY2, NSTC 112-2314-B-002-117-MY2, NSTC 112-2321-B-002-022); the Taiwan Food and Drug Administration (MOHW112-FDA-D-114-000611); the “Center for Advanced Computing and Imaging in Biomedicine (NTU-112L900703)” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan; Environmental Analysis Laboratory, Environmental Protection Administration, Taiwan (112BB003); National Taiwan University Cancer Center (NTUCCS-112-13)."