Refractive Surgery

AI-based fundus screening of teachers: fundus tessellated density as a myopia biomarker and occupational associations.

BACKGROUND: Artificial intelligence (AI)-based fundus imaging enables efficient large-scale retinal screening; however, its application in occupational populations remains limited. OBJECTIVE: To evaluate the utility of an AI-based fundus screening system in teachers and to investigate fundus tessellated density (FTD) as a potential imaging marker associated with myopia and occupational factors. ME...

Large Language Model-Generated Patient Instructions for Prescriptions in Primary Health Care: Preclinical Algorithm Validation.

BACKGROUND: The application of generative artificial intelligence to simplify medication use instructions has the potential to enhance people's health by improving treatment adherence. OBJECTIVE: We evaluated the performance of large language models (LLMs) in generating medication usage instructions to complement prescriptions in primary health care. METHODS: This randomized, blinded experimental ...

Navigating the regulatory landscape of herbal medicines: A global comparison of India, China, Europe, the United States and Japan.

The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary greatly, leading to variations in quality, safety and...

Interpretable and non-linear machine learning models for quantitative ICG perfusion assessment in colorectal cancer anastomosis: A feasibility study.

BACKGROUND: Anastomotic leakage (AL) remains a major complication after colorectal cancer surgery (CCS). Intraoperative indocyanine green (ICG) fluore...

Emerging applications of traditional and generative artificial intelligence in Liver Transplantation.

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching...

AI based prediction of post prostatectomy urinary incontinence and its impact on quality of life: development and validation study.

Urinary incontinence can affect up to 53% of patients after radical prostatectomy, yet prediction tools rely on binary outcomes, missing heterogeneous...

Deep Learning and Radiomics Assessment for Highly Myopic Glaucoma Detection Based on Fundus Photography.

PURPOSE: To investigate spatially distinctive features in fundus photographs of highly myopic glaucoma (HMG) by integrating radiomics and deep learnin...

An interactive anatomy tool to boost clinical reasoning and knowledge retention for preclinical medical students: a preliminary evaluation.

INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate...

Parallel AI-driven framework for post-quantum secure medical image communication using swin-transformer restoration.

Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...

Radiological staging clinical decision support model for rectal cancer lymph node metastasis detection on MRI.

BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most commo...

Tech-based evaluation of healthcare quality during the COVID-19 pandemic.

The coronavirus disease 2019 pandemic profoundly disrupted global health systems, exacerbating preexisting inequalities in access to and quality of ca...

An Explainable Machine Learning Model Integrating Transcranial Doppler and Clinical Data to Predict Outcomes After Endovascular Thrombectomy in Acute Ischemic Stroke.

BACKGROUND: Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO); howe...

Evaluation of suicide behavior screening tools using machine learning and variable importance measures.

Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Method...

Automated deep learning model for predicting pathological complete response in rectal cancer: A tool to organ-preserving strategies.

BACKGROUND: Accurate identification of pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal canc...

Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.

How medical students choose specialties shapes access to care. Prior work mostly describes patterns; newer prediction tools can rank influential facto...

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and...

Ethical engagement with artificial intelligence in faculty research education: evaluation of the New Knowledge Help (NKH) approach.

BACKGROUND: Artificial intelligence (AI) offers new opportunities in healthcare research; however, faculty often lack structured training on its effec...

Optimizing Post-printing Drying Conditions for Point-of-Care Manufacturing of SSE-3D Printed Medicines.

Post-printing drying conditions could affect the quality of oral use printlets elaborated by semi-solid extrusion (SSE) 3D printing, yet their systema...

KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.

BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological...

Artificial intelligence-assisted integrated care to promote colonoscopy uptake (AICC) in China: study protocol for a cluster randomized controlled trial.

BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...