LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification.

Autor: Hsu BW; Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, No. 1001, Daxue Rd., Hsinchu City, 300093 Taiwan Republic of China., Tseng VS; Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, No. 1001, Daxue Rd., Hsinchu City, 300093 Taiwan Republic of China.; Department of Computer Science, National Yang Ming Chiao Tung University, No. 1001, Daxue Rd., Hsinchu City, 300093 Taiwan Republic of China.

Publikováno v: Journal of healthcare informatics research [J Healthc Inform Res] 2024 Oct 01; Vol. 8 (4), pp. 619-639. Date of Electronic Publication: 2024 Oct 01 (Print Publication: 2024).

Evaluating a Natural Language Processing-Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study.

Autor: Dai HJ; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.; Center for Big Data Research, Kaohsiung Medical University, Kaohsiung, Taiwan., Wang CK; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.; Advanced Technology Laboratory, Chunghwa Telecom Laboratories, Taoyuan, Taiwan., Chen CC; Electromagnetic Sensing Control and AI Computing System Laboratory, Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Liou CS; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Lu AT; School of Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan., Lai CH; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Shain BT; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Ke CR; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Wang WYC; Waikato Management School, University of Waikato, Hamilton, New Zealand., Mir TH; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Simanjuntak M; Intelligent System Lab, College of Electrical Engineering and Computer Science, Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Kao HY; Department of Healthcare Administration and Medical Informatics, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan., Tsai MJ; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan., Tseng VS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

Publikováno v: Journal of medical Internet research [J Med Internet Res] 2024 Sep 20; Vol. 26, pp. e58278. Date of Electronic Publication: 2024 Sep 20.

Automatic 3D left atrial strain extraction framework on cardiac computed tomography.

Autor: Chen L; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan., Huang SH; Division of Cardiology, Department of Internal Medicine, National Yang Ming Chiao Tung University Hospital, No. 169, Xiao-She Road, Yilan, Taiwan. Electronic address: h8368@ms8.hinet.net., Wang TH; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan., Tseng VS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Tsao HM; Division of Cardiology, Department of Internal Medicine, National Yang Ming Chiao Tung University Hospital, No. 169, Xiao-She Road, Yilan, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Tang GJ; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Publikováno v: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Jul; Vol. 252, pp. 108236. Date of Electronic Publication: 2024 May 18.

Machine-learning models are superior to severity scoring systems for the prediction of the mortality of critically ill patients in a tertiary medical center.

Autor: Chou RH; Department of Critical Care Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC., Hsu BW; Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Yu CL; Institute of Data Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Chen TY; Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Ou SM; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Lee KH; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Tseng VS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC., Huang PH; Department of Critical Care Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC., Tarng DC; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.; Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC.; Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.

Publikováno v: Journal of the Chinese Medical Association : JCMA [J Chin Med Assoc] 2024 Apr 01; Vol. 87 (4), pp. 369-376. Date of Electronic Publication: 2024 Feb 09.

Monitoring the Progression of Clinically Suspected Microbial Keratitis Using Convolutional Neural Networks.

Autor: Kuo MT; Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan.; School of Medicine, Chang Gung University, Taoyuan City, Taiwan.; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan., Hsu BW; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Lin YS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Fang PC; Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan.; School of Medicine, Chang Gung University, Taoyuan City, Taiwan.; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan., Yu HJ; Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan.; School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan., Hsiao YT; Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan., Tseng VS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

Publikováno v: Translational vision science & technology [Transl Vis Sci Technol] 2023 Nov 01; Vol. 12 (11), pp. 1.