Latest AI and machine learning research in laser surgery for healthcare professionals.
ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to resolve brief, low-contrast cues in surgical video without task-specific training is uncertain. Autonomous artificial intelligence (AI) agents offer an alternative paradigm by autonomously generating supervised classifiers tailored to specific visual tasks. ObjectiveTo benchmark the performance of...
INTRODUCTION: Advances in artificial intelligence offer the promise of automated analysis of optical coherence tomography (OCT) scans to detect ocular complications from anticancer drug therapy. To explore how such AI outputs are interpreted in clinical settings, we conducted a survey-based interview study with 27 clinicians -comprising 10 ophthalmic specialists, 10 ophthalmic practitioners, and 7...
Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence tomography (OCT) to provide a comprehensive view ...
low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposure. Most existing deep learning-based denoising met...
Large language models (LLMs) can simulate clinical reasoning based on natural language prompts, but their utility in ophthalmology is largely unexpl...
Ophthalmic surgical robots offer superior stability and precision by reducing the natural hand tremors of human surgeons, enabling delicate operatio...
This paper studies the role of attention heads in CLIP's image encoder. While CLIP has exhibited robust performance across diverse applications, we ...
As the appearance of medical images is influenced by multiple underlying factors, generative models require rich attribute information beyond labels...
Online surgical phase recognition has drawn great attention most recently due to its potential downstream applications closely related to human life...
Large Language Models (LLMs) have demonstrated significant strides across various information retrieval tasks, particularly as rerankers, owing to t...
Artificial intelligence (AI) has become a fundamental tool for assisting clinicians in analyzing ophthalmic images, such as optical coherence tomogr...
To meet the growing demand for systematic surgical training, wetlab environments have become indispensable platforms for hands-on practice in ophtha...
Optical Coherence Tomography (OCT) provides high-resolution, 3D, and non-invasive visualization of retinal layers in vivo, serving as a critical too...
Artificial intelligence is poised to augment dermatological care by enabling scalable image-based diagnostics. Yet, the development of robust and eq...
The wide range of optical planes in underwater laser imaging results in the presence of a large number of noisy light bars in the background region. S...
The use of a hollow-core toroidal coil (HTC) as an induction detector allows for the analysis of ions in an expanding plasma released through laser ab...
Skin cancer encompasses a diverse spectrum of malignancies with increasing global incidence and persistent clinical challenges. Despite advances in th...
Glaucoma remains a leading cause of irreversible blindness worldwide, with early detection crucial for preventing vision loss. This study developed an...
Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedical ultrasound. ADV-generated bubbles can function ...
The human eye is a vital sensory organ that is crucial for visual perception. The retina is the main component of the eye and is responsible for visua...