Laser Surgery

In-situ dynamic correction of progressive ablation fluctuations in laser-induced breakdown spectroscopy (LIBS) using Raman spectroscopy and deep learning.

Correcting dynamic fluctuations in Laser-induced breakdown spectroscopy (LIBS) due to the interactio...

Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.

To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery ...

Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial.

Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...

An Explainable AI Application (AF'fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study.

BACKGROUND: The opaque nature of artificial intelligence (AI) algorithms has led to distrust in medi...

Spherical lesion formation in HIFU using robotic assistance for controlled focal point manipulation.

We propose a robot-assisted method to generate spherical thermal lesions by high-intensity focused u...

Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review.

BACKGROUND: Although catheter ablation (CA) is currently the most effective clinical treatment for a...

Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respon...

[Investigation of impedance drop during lesions created by robot-assisted radiofrequency ablation].

Determination of 5-fluorouracil anticancer drug solubility in supercritical COusing semi-empirical and machine learning models.

In order to provide the facilities to design the supercritical fluid (SCF) processes for micro or na...

Dynamic blinking feature extraction for automated facial nerve paralysis detection.

Facial nerve paralysis (FNP) impair eyelid closure and blinking, risking ophthalmic complications an...

A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy.

OBJECTIVE: To test if our artificial intelligence (AI)-postoperative glomerular filtration rate (GFR...

Retinal OCT image classification based on MGR-GAN.

Accurately classifying optical coherence tomography (OCT) images is essential for diagnosing and tre...

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

BACKGROUND: Ureteral stents, such as double-J stents, have become indispensable in urologic procedur...

Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with ...

Advancements and Prospects in Nanorobotic Applications for Ophthalmic Therapy.

This study provides a bibliometric and bibliographic review of emerging applications of micro- and n...

An effective vessel segmentation method using SLOA-HGC.

Accurate segmentation of retinal blood vessels from retinal images is crucial for detecting and diag...

Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements.

Given close relationships between ocular structure and ophthalmic disease, ocular biometry measureme...

Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence.

IMPORTANCE: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophth...

Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology.

Few metrics exist to describe phenotypic diversity within ophthalmic imaging datasets, with research...

Sub-millimeter fiberscopic robot with integrated maneuvering, imaging, and biomedical operation abilities.

Small-scale continuum robots hold promise for interventional diagnosis and treatment, yet existing m...

Predicting lack of clinical improvement following varicose vein ablation using machine learning.

OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcer...