Publications by authors named "Tse C Chen"
Article Synopsis
- AI, specifically ChatGPT, has potential as a clinical reasoning tool in making decisions about mechanical thrombectomy for stroke patients, with a focus on evaluating large vessel occlusions.
- In a study involving 102 patients, ChatGPT agreed with expert physicians 54.3% of the time and made mistakes in 8.8% of cases, showcasing both strengths and weaknesses in its reasoning capabilities.
- While ChatGPT demonstrates the ability to incorporate complex clinical factors, it should be used as a supportive tool rather than a primary decision-maker due to its error rate.
Background And Objectives: ChatGPT has shown promise in healthcare. To assess the utility of this novel tool in healthcare education, we evaluated ChatGPT's performance in answering neurology board exam questions.
Methods: Neurology board-style examination questions were accessed from BoardVitals, a commercial neurology question bank.
Background: ChatGPT is a large language model artificial intelligence chatbot that has been applied to different aspects of the medical field. Our study aims to assess the quality of chatGPT to evaluate patients based on their exams for different scores including Glasgow Coma Scale (GCS), intracranial hemorrhage score (ICH), and Hunt & Hess (H&H) classification.
Methods: We created batches of patient test cases with detailed neurological exams, totaling 20 cases and created variants of increasing complex phrasing of the test cases.
Objectives: To survey the cost effectiveness of procedures with the largest waiting lists in the Irish public health system to inform a reconsideration of Ireland's current cost-effectiveness threshold of €45,000/quality-adjusted life-year (QALY).
Methods: Waiting list data for inpatient and day case procedures in the Irish public health system were obtained from the National Treatment Purchase Fund. The 20 interventions with the largest number of individuals waiting for inpatient and day case care were identified.
In this work we developed a one-step process for synthesizing carboxylic-functionalized carbon nanofibers (CNFs)-encapsulated Ni magnetic nanoparticles (Ni@CNFs) that exhibit an excellent magnetic response and a large content of hydrophilic carboxylate groups with a negative charge (RCOO(-)) on the carbon surface. The carbon-encapsulated magnetic Ni nanoparticles could be rapidly separated from water, and they showed high efficiency for adsorption of the antibiotic sulfamethoxazole (SMX) in aqueous solution. The adsorption of SMX on Ni@CNFs as a function of pH was investigated, and the greatest adsorption occurred at pH 7.
View Article and Find Full Text PDFIn this paper, we have shown that Cu/TiO(2) catalysts are highly active in CO oxidation. For instance, a 3.4% Cu/TiO(2) catalyst exhibits a higher turnover rate for the effective removal of CO in air than 3-5% Pt/TiO(2) and 20% Cu/ZnO/Al(2)O(3) catalysts.
View Article and Find Full Text PDFEvaluation of the new AJCC staging system for resectable hepatocellular carcinoma.
World J Surg Oncol
September 2011
Background: The aim of this study was to assess the validity of the 7th edition of the American Joint Committee on Cancer (AJCC) TNM system (TNM-7) for patients undergoing hepatectomy for hepatocellular carcinoma (HCC).
Methods: Partial hepatectomies performed for 879 patients from 1993 to 2005 were retrospectively reviewed. Clinicopathological factors, surgical outcome, overall survival (OS), and disease-free survival (DFS) were analyzed to evaluate the predictive value of the TNM-7 staging system.