Publications by authors named "A Siu"
Objective: To examine the extent of segregation between hospitals for Medicare beneficiaries by race, ethnicity, and dual-eligible status over time.
Data Sources And Study Setting: We used Medicare inpatient hospital provider data for fee-for-service (FFS) beneficiaries, and the Dartmouth Atlas of Health Care from 2013 to 2021 nationwide, for hospital referral regions (HRRs), and for and hospital service areas (HSAs).
Study Design: We conducted time trend analysis with dissimilarity indices (DIs) for Black (DI-Black), Hispanic (DI-Hispanic), non-White (including Black, Hispanic, and other non-White) (DI-non-White), and dual-eligible (DI-Dual) beneficiaries.
Article Synopsis
- The study addresses the challenges neurologists face in analyzing multichannel EEG recordings for epileptic activities, proposing a computer-aided diagnosis system to minimize manual inspection.
- Researchers introduce a novel short-time Fourier transform (STFT) algorithm utilizing taper functions to enhance spectrogram resolution, which improves the interpretability of EEG signals essential for seizure detection.
- The developed Dilated Convolutional Squeeze and Excitation Networks (DCSENets) achieve a high average accuracy in patient-independent seizure classification while incorporating a visual explainer that enhances model interpretability, aiding neurologists in understanding diagnosis decisions.
Aim: Artificial intelligence (AI) chatbots such as Chat Generative Pretrained Transformer-4 (ChatGPT-4) have made significant strides in generating human-like responses. Trained on an extensive corpus of medical literature, ChatGPT-4 has the potential to augment patient education materials. These chatbots may be beneficial to populations considering a diagnosis of colorectal cancer (CRC).
View Article and Find Full Text PDFBackground: The COVID-19 pandemic accelerated the shift to remote learning, heightening scrutiny of open-book examinations (OBEs) versus closed-book examinations (CBEs) within science, technology, engineering, arts and mathematics (STEM) education. This study evaluates the efficacy of OBEs compared to CBEs on student performance and perceptions within STEM subjects, considering the emerging influence of sophisticated large language models (LLMs) such as GPT-3.
Methods: Adhering to PRISMA guidelines, this systematic review analysed peer-reviewed articles published from 2013, focusing on the impact of OBEs and CBEs on university STEM students.
Background: Wide-awake local anaesthesia no tourniquet (WALANT) is increasing in popularity within hand surgery. However, evidence is unclear on patient satisfaction rates when WALANT is compared against more traditional anaesthetic techniques where pneumatic tourniquets are used. The present study aimed to evaluate the satisfaction rates of patient with the WALANT technique.
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