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Objectives: This study aimed to develop an automated deep learning (DL) system to detect and classify second molar (M2) pathologies associated with impacted third molars (ITMs) on panoramic radiographs. We sought to enha...

BackgroundHigh-dose intravenous methylprednisolone (HD-IVMP) is the first-line treatment for dysthyroid optic neuropathy (DON). However, a significant proportion of patients exhibit a poor response, risking irreversible ...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

Accurate detection of pediatric fractures in radiographs remains challenging due to subtle visual cues and the high prevalence of false-positive detections produced by automated systems. To address this limitation, we pr...

ObjectiveTo develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.MethodsTwo hun...

ABSTRACT Background and Aims Cardiovascular disease (CVD) remains the leading global cause of death, with 80% of deaths occurring in low‐ and middle‐income countries (LMICs). Improving access to screening and early d...

Abstract Ecological momentary assessment (EMA) is a tool facilitating the repeated collection of real-time data in naturalistic settings that can be applied to clinical research. Despite established methodological streng...

Digital transformation has brought significant changes to the fields of health and education, with artificial intelligence (AI) technologies emerging as one of the most prominent components of this shift. Generative AI t...

Introduction: The integration of artificial intelligence (AI) in clinical decision-making has the potential to enhance patient understanding and confidence in treatment choices. This study evaluates the impact of an AI-b...

Background Artificial intelligence (AI) is transforming healthcare, but allied health professionals’ (AHPs) perspectives on AI integration remain underexplored, especially in Malaysia. This study examined AHPs’ perce...

Abstract Background Infectious diseases are a leading cause of Paediatric Emergency Department (PED) visits worldwide, characterised by significant clinical variability in both presentation and severity. Literature highl...

Abstract Background Cerebral toxoplasmosis is a rare but potentially fatal opportunistic infection in non-HIV immunocompromised patients, particularly after allogeneic hematopoietic stem cell transplantation (allo-HSCT)....

ObjectiveTo investigate the differential diagnostic criteria and decision-making logic for distinguishing benign intra-abdominal adhesions from peritoneal metastasis following preoperative radiotherapy and surgical resec...

LPS-responsive beige-like anchor protein (LRBA) deficiency is a primary immunodeficiency belonging to the spectrum of common variable immunodeficiency disorders, frequently associated with immune dysregulation, autoimmun...

Introduction and aims: To evaluate the diagnostic and reasoning capabilities of 4 state-of-the-art large language models (LLMs) on the Korean Dental Licensing Examination (KDLE) and to assess their potential as education...

ABSTRACT Background and Aims The world has been devastated by the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) from 2019 to 2023 which necessitated stratifying patients into mild, m...

Abstract Aims and objectives This study aims to explore the experiences of perinatal vulnerability between expectant mothers and partners, investigating how their vulnerabilities interact, accumulate, or resolve, and ide...

Background. Pediatric abdominal pain accounts for more than 1 million emergency department (ED) visits annually, and appendicitis is the most common surgical emergency. Guidelines recommend ultrasound as the initial imag...

Background: Women with previous caesarean deliveries (CD) contribute to rising CD rates globally, yet limited evidence exists from rural South African district hospitals. The social value of this study lay in understand...

Background: Postpartum preeclampsia remains a significant contributor to maternal morbidity and mortality in Indonesia. Midwives, as frontline maternal health providers, are expected to deliver holistic care; however, st...

Abstract Background Patients with AIDS Suffering from sepsis secondary to pulmonary infections admitted to intensive care units (ICUs) carry a high burden of morbidity and mortality. Therefore, rapid identification and t...

Background: Acute kidney injury (AKI) is prevalent among hospitalized patients and is frequently complicated by hyperkalemia (HyperK), kidney replacement therapy (KRT), and major adverse kidney events (MAKE). Early predi...

ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...

Abstract Background Comprehensive genomic analysis and optimal treatment for non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) G719X + S768I co-mutations remain limited. This st...