Refractive Surgery

Intraoperative technological advances and new frontiers in precision glioma surgery.

BACKGROUND: Diffuse gliomas remain among the most surgically challenging tumors, characterized by their infiltrative nature, proximity to eloquent brain structures, and the formidable barrier posed by the BBB to systemic therapeutic delivery. Maximizing extent of resection (EOR) while preserving neurological function remains a central determinant of survival and quality of life, and the iterative ...

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning.

AIMS: To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous retinal detachment (RRD). METHODS: All data were obtained from the Japan-Retinal Detachment Registry. Patients with visual acuity (VA) recorded at 6 months after the surgery for primary RRD were included. For identifying the cases with poor VA defined as the logarithm of the ...

Accelerated use of artificial intelligence-associated vocabulary in Japanese surgical journals after 2023.

PURPOSE: The increased use of artificial intelligence (AI)-based writing tools may influence academic writing styles. This study aimed to evaluate cha...

Automated Optic Disc Tilt Classification in Fundus Photographs Using Segmentation and the Elliptical Ratio: External Clinical Validation Study.

BACKGROUND: Optic disc tilt is a morphological change in myopic eyes that complicates clinical interpretation and artificial intelligence (AI)-based a...

Dual branch fundus deep learning network as an enhanced multi classification system for ocular disease detection via hybrid feature fusion.

Ophthalmic diagnosis relies heavily on the interpretation of fundus images to identify a range of debilitating diseases. However, the presence of mult...

Dissecting interprofessional anatomy education: insights from AI-driven assessment.

BACKGROUND: In 2024, an 8-week IPE human anatomy dissection elective was offered to first-year students from various health professional programs. Pas...

Post-stroke rehabilitation in inflammatory rheumatic diseases: outcome measures, digital tools, and patient education perspectives.

Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular events, independent of traditional cardiovascular risk ...

Real-World Analysis of Organ Transplantation-Specific Agent Based on Large Language Model in Post-Transplant Self-Management During Off-Hours: A Mixed-Methods Study.

OBJECTIVE: A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), ...

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitalization costs and length of stay. Early identificat...

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates influenced by a variety of factors, including earl...

Impact of Deep Learning-Based Denoising on Image Quality and Diagnostic Confidence in Neurovascular Ultrahigh-Resolution Photon-Counting CT Angiography.

BACKGROUND AND PURPOSE: Ultrahigh-resolution (UHR) photon-counting detector (PCD)-CT angiography enables detailed visualization of the neurovasculatur...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...

Exploring Older Adults' Use of AI Voice Assistants Through the Lens of Self-Determination Theory.

Aging often reduces opportunities for everyday interaction and instrumental support, raising questions about the potential role of artificial intellig...

Machine Learning-Based Identification and Ranking of Mortality Predictors After Hip Fracture Surgery: An Analysis of the Australian and New Zealand Hip Fracture Registry.

BACKGROUND: Hip fractures are a major global health issue with high mortality and morbidity, especially in older adults. One-year mortality post-surge...

Artificial Intelligence in medical research and publishing: progress, risks, and future perspectives.

Artificial intelligence (AI) is rapidly transforming medical research and scholarly publishing, reshaping how scientific knowledge is produced, evalua...

Automated deep learning-based retinoschisis and detachment volume measurement in pathological myopia with posterior scleral contraction.

PURPOSE: This study developed an automated deep learning-based system to quantify retinoschisis and detachment volume (RDV) in pathological myopia (PM...

Deep learning models based on post-procedural angiography for predicting the future risk of in-stent restenosis.

In-stent restenosis (ISR) remains a significant complication after percutaneous coronary intervention. Identifying patients at high risk for ISR from ...

AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.

PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostate cancer, offering an alternative to radical prost...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Clinical artificial intelligence (AI) in Japan: Regulatory pathways, domain-specific evidence, and its data infrastructure from an international perspective.

Artificial intelligence (AI) has advanced rapidly across clinical domains, generating both a growing evidence base and dedicated regulatory frameworks...