Ophthalmology

Refractive Surgery

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

5,747 articles
Stay Ahead - Weekly Refractive Surgery research updates
Subscribe
Browse Categories
Showing 904-924 of 5,747 articles
How could robotic training and botolinum toxin be combined in chronic post stroke upper limb spasticity? A pilot study.

BACKGROUND: Spasticity has a role of primary importance in functional motor recovery of upper limb a...

Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...

Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Afforestation Surpasses Abandonment in the Recovery of Post-Agricultural Soil Organic Carbon in China as Estimated by Machine Learning Models.

The surface soil organic carbon (SOC) dynamics typically follow a trend of initial loss followed by ...

Enhancing Craniomaxillofacial Surgeries with Artificial Intelligence Technologies.

Artificial intelligence (AI) can be applied in multiple subspecialties in craniomaxillofacial (CMF) ...

Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning.

The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...

Recommendations for the Management of Diabetes During Ramadan Applying the Principles of the ADA/ EASD Consensus: Update 2025.

Ramadan fasting is a sacred ritual observed by approximately 1.8 billion Muslims each year, most of ...

Automated 3D facial smile attractiveness assessment before and after orthognathic surgery using transfer learning: A preliminary study.

The aesthetic appearance of the mouth during smiling significantly influences facial attractiveness,...

The implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study.

BACKGROUND: Vestibular schwannomas (VS) are benign tumors that can lead to hearing loss, balance iss...

Prediction of post stroke depression with machine learning: A national multicenter cohort study.

OBJECTIVE: Post-stroke depression (PSD) is a common psychiatric complication following stroke, with ...

Pushing the Limit of Post-Training Quantization.

Recently, post-training quantization (PTQ) has become the de facto way to produce efficient low-prec...

Primer on large language models: an educational overview for intensivists.

The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...

Browse Categories