Surgery

Laser Surgery

Latest AI and machine learning research in laser surgery for healthcare professionals.

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Driving Multifunctional Nanomedicine Design for Non-Inflammatory Tumor Therapy with Integrated Machine Learning and Density Functional Theory.

Due to the promotive role of inflammation in tumor progression, designing multifunctional nanomedici...

Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs.

BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therape...

Prospective Registry Study on Thermal Liver Ablation of Primary and Secondary Liver Tumours Named the A-IMAGIO Study.

PURPOSE: The long-term objective of the Ablation-IMaging and Advanced Guidance for workflow optimiza...

A multimodal visual-language foundation model for computational ophthalmology.

Early detection of eye diseases is vital for preventing vision loss. Existing ophthalmic artificial ...

Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases.

BACKGROUND: Surgical errors in ophthalmology can have devastating consequences. We developed an arti...

Recent advances and future perspectives of long-acting ophthalmic preparations (LAOPs) in clinical applications.

The intricate structure of ocular barriers significantly impedes drug penetration, leading to subopt...

Identifying Clinical Research Priorities in Interventional Pulmonary: An Interventional Pulmonology Outcomes Group (IPOG) Working Group Report.

The field of Interventional Pulmonology suffers from a paucity of methodologically robust studies to...

The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.

Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificia...

Enhancing the Accuracy of Skin Lesion Diagnosis Using Hyperspectral Imaging and Deep Learning.

This study presents a novel diagnostic approach that integrates hyperspectral imaging (HSI) with dee...

Current status and challenges of minimally invasive ultrasound thermal ablation technology.

Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease trea...

Atrial Fibrillation Recurrence After Catheter Ablation: The Puzzle We Have and the Pieces We Need.

Atrial fibrillation (Afib) recurrence following catheter ablation (CA) remains a significant challen...

UNIK (Urologic Non-Neoplastic Investigation of Kidneys): a machine learning approach to decode benign lesion.

PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exerc...

Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.

BACKGROUND: Artificial intelligence has become part of healthcare with a multitude of applications b...

Cryo-ablation management of atrial fibrillation in Fabry disease without agalsidase alpha: a case report.

Fabry disease (FD) is a rare genetic disorder caused by mutations in the gene, affecting multiple o...

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America.

This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelli...

Hybrid attention-based deep learning for multi-label ophthalmic disease detection on fundus images.

BACKGROUND: Ophthalmic diseases significantly impact vision and quality of life. Early diagnosis usi...

Complex Fractionated Atrial Electrograms, Dispersion, and Voltage in Persistent Atrial Fibrillation: Implications for Electrogram-Guided Ablation.

BACKGROUND: Various methods have been used to identify substrate of persistent atrial fibrillation (...

A Deep Learning-Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients.

BACKGROUND: The long-term success rate of atrial fibrillation (AF) ablation remains a significant cl...

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