Ophthalmology

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

BACKGROUND: With the increased utilization of artificial intelligence (AI) tools in the operating room, we aimed to integrate real-time visual cues provided by AI (computer vision) with the Single-Port (SP) robotic platform for colorectal surgery. METHODS: A patient was selected for an end-ileostomy reversal using a Single-Port Robotic platform docked at the stoma site. Novel AI technology using d...

Macular hole detection and segmentation on fundus photography using large multimodal generative models for synthetic augmentation.

Engineering Human Retinal Organoids and Eye-on-a-Chip Models for Degenerative Eye Disease.

Degenerative eye diseases are major causes of irreversible vision loss worldwide, but effective treatments remain limited, partly due to the lack of e...

All-optically modulated PDVT-10/IGZO heterojunction synapses for neuromorphic applications.

The development of neuromorphic visual systems aims to address the constraints in energy efficiency and stability within machine vision. However, neur...

Radiomics in fetal brain MRI: a narrative review.

Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the developing brain and in identifying congenital defe...

On Demographic Group Fairness Guarantees in Deep Learning.

We present a comprehensive theoretical framework analyzing the relationship between data distributions and fairness guarantees in equitable deep learn...

Advances in the laboratory diagnosis of non-viral microbial keratitis.

Infectious keratitis remains a leading cause of corneal blindness and visual impairment worldwide, with bacterial, fungal, amoebic and viral pathogens...

Smart graphene-enhanced ceramic material refractive index sensor simulation design developed for highly sensitive breast Cancer detection optimized with machine learning.

Based on the surface plasmon resonance (SPR) technique, the proposed biosensor is investigated as an SPR-based sensing platform for detecting breast c...

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry.

Vision-language models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remain...

Recent advances in synthetic virtual 3D endoscopy to assist in skull base surgery.

INTRODUCTION: The advent of the operating microscope revolutionized neurosurgery by introducing stereoscopic visualization and enabling microneurosurg...

Artificial intelligence in the diagnosis and prognosis of ocular trauma: a systematic review.

A clinical prediction tool for ocular hypertension following silicone oil tamponade in rhegmatogenous retinal detachment.

Responsible Artificial Intelligence in Medical School Admissions: A Case Study of the Predictive Assessment and Summary Tool.

The integration of artificial intelligence (AI) in medical school admissions offers transformative potential, but its responsible implementation is cr...

Routine blood tests and machine learning identify complications in high myopia.

High myopia can lead to cataract, glaucoma, retinal detachment, choroidal neovascularisation, and macular degeneration, causing irreversible vision lo...

Translating the Intranslatable: Traditional Chinese Medicine, Large Language Models, and the Philosophy of Medical Meaning.

The globalization of Traditional Chinese Medicine (TCM) hinges on translation practices that honor its philosophical and relational epistemologies, ye...

Predicting lithium-associated thyroid dysfunction through dimension reduction to establish a practical machine learning model: A retrospective multicenter study.

BACKGROUND: Thyroid dysfunction is a prevalent side effect among patients using lithium and links to refractory mood disorders. Existing predictive mo...

Acid-Base Status During Venoarterial Extracorporeal Membrane Oxygenator Support in Patients With Cardiogenic Shock.

BACKGROUND: The prognostic significance of an adverse acid-base milieu despite venoarterial extracorporeal membrane oxygenation support in patients wi...

Machine learning-driven optimization of monolithic gold plasmonic sensors: Achieving ultrahigh sensitivity with interpretable linear models.

Integrating machine learning (ML) with nanophotonic engineering, this work achieves unprecedented performance in surface plasmon resonance (SPR) biose...

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan.

PURPOSE: We evaluated the alterations of applying artificial intelligence (AI) diagnostic system for diabetic retinopathy (DR) screening in real-world...

A generalizable eye disease detection method based on Zero-Shot Learning.

BACKGROUND: Deep learning faces a significant bottleneck in medical image analysis due to its reliance on large-scale, expert-annotated datasets. This...