Publications by authors named "Carolyn Shan-Yeu Tien"
Article Synopsis
- Primary diabetes care and diabetic retinopathy (DR) screening face challenges due to a lack of trained primary care physicians, especially in low-resource areas.
- The integrated image-language system, DeepDR-LLM, combines a language model and deep learning to help PCPs provide tailored diabetes management recommendations, showing comparable or better accuracy than PCPs in diagnosing DR.
- In a study, patients assisted by DeepDR-LLM demonstrated improved self-management and adherence to referral recommendations, indicating that the system enhances both care quality and patient outcomes.
Introduction: The anion gap (AG) is commonly used to screen for acid-base disorders. It was proposed that the cut-off for high anion gap metabolic acidosis (HAGMA) may be lower with current laboratory techniques, although modern laboratory equipment are still calibrated to familiar reference ranges established with earlier techniques. The appropriate cut-off for HAGMA is unclear.
View Article and Find Full Text PDFHuman leucocyte antigen (HLA) alleles may generate antibodies that are undetectable by routine single-antigen beads (SABs) assays if their unique epitopes are unrepresented. We aimed to describe the prevalence and explore the potential impact of unrepresented HLA alleles in standard SAB kits in our cohort. All individuals who had undergone two-field HLA typing (HLA-A/B/C/DRB1/DQA1/-DQB1/-DPA1/-DPB1) from February 2021 to July 2023 were included.
View Article and Find Full Text PDFBackground: The coronavirus disease 2019 (COVID-19) pandemic curtailed transplant activities worldwide, driven by concerns about increased COVID-19-related mortality among kidney transplant recipients (KTRs), infections originating from donors, and decreased availability of surgical and intensive care resources as healthcare resources are reallocated for pandemic response. We examined the outcomes of KTRs at our center before and during the COVID-19 pandemic.
Methods: We conducted a retrospective single-center cohort study examining the characteristics and outcomes of patients undergoing kidney transplantation during two periods January 1, 2017 to December 31, 2019 (pre-COVID-19 era) and January 1, 2020 to June 30, 2022 (COVID-19 era).