Orthopaedic Telemedicine Clinics: A Patient Satisfaction Survey of 522 Patients.

Background The COVID-19 pandemic necessitated the rapid adoption of telemedicine across medical specialties, including orthopedics. This study aimed to assess patient satisfaction with orthopedic telemedicine consultations and analyze the efficiency and limitations of this approach during the pandemic. Methods A cross-sectional survey was conducted involving 522 patients who underwent telephone consultations for orthopedic care between May 2020 and January 2021.

Exploring the connectedness between non-fungible token, decentralized finance and housing market: Deep insights from extreme events.

The current digital innovation, health crisis, together with catastrophic economic and financial events have disturbed both digital and conventional asset markets that caused drastic change in investment avenues. Therefore, the purpose of this study is to investigate the connectedness between Non-Fungible Token (NFTs), Decentralized Finance (DeFi) assets, and housing market by applying Quantile connectedness of Ando et al. [27]with extreme tail of distribution technique.

Academic Health System Framework for Health Services Transformation: A Perspective View from West Java, Indonesia.

Although the field of medicine has made significant progress in recent decades, low and middle-income countries continue to face significant difficulties in addressing the unprecedented obstacles to improving health. Medical schools should play a critical role in driving health services reform and take on a new leadership role in strengthening the health system. This paper discusses a conceptual framework and outlines the Academic Health Systems (AHS) agenda in Indonesia.

Artificial Intelligence (AI)-Enhanced Detection of Diabetic Retinopathy From Fundus Images: The Current Landscape and Future Directions.

Diabetic retinopathy (DR) remains a leading cause of vision loss worldwide, with early detection critical for preventing irreversible damage. This review explores the current landscape and future directions of artificial intelligence (AI)-enhanced detection of DR from fundus images. Recent advances in deep learning and computer vision have enabled AI systems to analyze retinal images with expert-level accuracy, potentially transforming DR screening.

Maternal and neonatal outcome among women with early-onset preeclampsia and late-onset preeclampsia.

Objective: This study aimed to determine the differences in characteristics and outcomes of early-onset and late-onset Preeclampsia.

Methods: A retrospective cross-sectional study was conducted on female patients giving birth with preeclampsia admitted into the Department of Obstetrics and Gynecology of Dr. Hasan Sadikin Hospital Bandung from January 2020 to December 2022 who met the study criteria.