Laser Surgery

When Seeing Is No Longer Believing: Ethical Accountability in the Era of AI-Generated Dermatologic Content.

Wheelchair movement signal classification from EEG for motor-impaired individuals using novel deep learning architecture.

Purpose: Traditional wheelchair controls often limit independence and pose safety risks for motor-impaired users. To address these challenges, this study explores the potential of EEG-based control systems that allow users to operate powered wheelchairs through brain signals rather than physical movements. Materials and Methods: We developed a hybrid deep learning model that integrates Long Short-...

Association of widespread pain and peak alpha frequency cannot be isolated to a single network.

INTRODUCTION: Peak alpha frequency (PAF), an electroencephalography measure, has gained interest due to its association to pain-related neural process...

Hybrid LSTM-XGBoost framework with city embeddings for CO2 emissions forecasting and scenario comparison.

Developments of cities are always accompanied by environmental sacrifice, especially increasing CO2 emission is one of the significant drivers of clim...

Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework.

PURPOSE: Accurate prediction of the laser energy absorption and corresponding thermal spread is essential for safe and effective outcomes in magnetic ...

Machine learning-based clustering differentiates bilateral hepatocellular carcinoma characteristics and prognosis.

BACKGROUND: Bilateral hepatocellular carcinoma represents a biologically heterogeneous disease with uncertain optimal surgical selection criteria. Alt...

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.

Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impa...

[Large language models as a communication and organizational infrastructure in urology: evidence, limitations, and clinical responsibility].

Large language models (LLMs) mark a structural turning point in digital medicine, as they are now capable not only of processing medical information b...

AI-assisted diagnosis of neuro-ophthalmic disorders: a systematic review from optic neuritis to papilledema.

Deep Learning-based Segmentation for Assessment of Kidney Tumour Ablation Therapy in CT Images.

Kidney tumor ablation is a minimally invasive treatment for Renal Cell Carcinoma (RCC). Manual segmentation of the kidney ablation zone (KAZ) is time-...

Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising incisionless procedure for breast cancer treatment. fo...

Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

BACKGROUND: Atrial fibrillation (AF) is a common heart rhythm disorder that can be treated with cryoballoon ablation (CBA). CBA occasionally requires ...

The WISeR Model and its Potential Impacts on Dermatologic Care.

Machine Learning Optimization of Laser Ablation in Liquid for the Green and Low-Cost Synthesis of Clean Gold Nanoparticles.

While gold nanoparticles (Au NPs) are widely employed in modern technology, their large-scale synthesis still faces challenges related to cost and sus...

Serum Uric Acid-to-Creatinine Ratio and Atherogenic Index of Plasma as Independent Prognostic Indicators for Late Non-Valvular Atrial Fibrillation Recurrence After Catheter Ablation.

BACKGROUND: Atrial fibrillation (AF) is one of the most common clinical arrhythmias, and postoperative recurrence remains a major concern in cardiovas...

LA-TReQNet: Improving Multielement Quantification Model for Laser Ablation Inductively Coupled Plasma Mass Spectrometry Based on Deep Learning Network.

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is a widely used quantitative technique. However, conventional calibration app...

Image-Based Medical Navigation Systems for Cardiac Interventions: Recent Technological Advances.

BACKGROUND: The application of catheter-based treatments for a growing range of structural heart diseases (SHD) has significantly increased over the p...

A Deep Learning Prognostic Model for Diabetes Patients Using Bilateral Fundus Imaging.

AIMS: Diabetes mellitus shortens life expectancy, driven primarily by premature mortality from vascular complications. Mortality models for intensive ...

Improving support and self-management of ophthalmic patients using an artificial intelligence health coach.

This study evaluates patient engagement and satisfaction with Everyday Medical Monitoring Ally (E.M.M.A), a purpose-trained artificial intelligence (A...

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. ...