Publications by authors named "S C Ming"
Background: With the clinical integration of sugammadex, a selective relaxant-binding agent, the approach to reversing neuromuscular blockade is revolutionized. Despite its efficacy, sugammadex's adverse reactions range from mild symptoms to severe cases, including anaphylaxis and coagulopathy. Assessing the nature of these reactions using the Food and Drug Administration's Adverse Event Reporting System (FAERS) database is vital for safe anesthetic practice.
View Article and Find Full Text PDFBackground: Most patients with systemic sclerosis (SSc) experience gastrointestinal (GI) dysmotility. The enteric nervous system (ENS) regulates GI motility, and its dysfunction causes dysmotility. A subset of SSc patients harbor autoantibodies against the M2 mitochondrial antigen (AMA).
View Article and Find Full Text PDFArticle Synopsis
- - The study compares the effectiveness of prostate-specific membrane antigen (PSMA) PET scans and multiparametric MRI (mpMRI) in identifying lymph node metastasis (LNM) in prostate cancer, focusing on existing research up to August 2024.
- - Results from 23 articles involving 3,041 patients reveal that PSMA PET has higher sensitivity (74%) compared to mpMRI (45%) for detecting LNM, while both methods show similar specificity (96% for PSMA PET and 92% for mpMRI).
- - The conclusion indicates that PSMA PET is more effective for initial cancer staging, but no significant difference in specificity exists between the two methods, suggesting the need for further research to refine imaging
We present here, a case of a neonate with an unbalanced chromosomal translocation due to a maternal chromosomal translocation carriage that resulted in the presence of trisomy 9p combined with a partial trisomy 12p. Karyotype analysis was performed using conventional cytogenetic chromosomal analysis using the GTG-banding technique. The mother was a carrier of a balanced chromosomal translocation of 46, XX, t(9;12)(q13;p11.
View Article and Find Full Text PDFPerformance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.
J Med Internet Res
November 2024
Background: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic subspecialties have yet to be fully explored.
Objective: This study aims to investigate the performance of AI chatbots in recommending ophthalmic outpatient registration and diagnosing eye diseases within clinical case profiles.