Ophthalmology

Refractive Surgery

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

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Hand motion analysis during robot-aided rehabilitation in chronic stroke.

A high percentage of post-stroke patients reports spasticity and no functional use of the upper limb...

Robotic treatment of the upper limb in chronic stroke and cerebral neuroplasticity: a systematic review.

Stroke is the second cause of mortality and the third cause of long-term disability worldwide. Defic...

[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement o...

[Assistant diagnose for subclinical keratoconus by artificial intelligence].

To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical...

[Surgical Treatment for Extremely Elderly Patients Over 90 Years of Age with Colorectal Cancer].

We report 18 cases of colorectalcancer in patients aged over 90 years who received surgicaltreatment...

Reduction of drainage-associated complications in cardiac surgery with a digital drainage system: a randomized controlled trial.

BACKGROUND: Thoracic chest drains are placed after cardiac surgery allowing for the clearance of blo...

Machine Learning Approach for Predicting Past Environmental Exposures From Molecular Profiling of Post-Exposure Human Serum Samples.

OBJECTIVE: To develop an approach for a retrospective analysis of post-exposure serum samples using ...

Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our ...

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

Lysine post-translational modifications (PTMs) play a crucial role in regulating diverse functions a...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

Capsule network for protein post-translational modification site prediction.

MOTIVATION: Computational methods for protein post-translational modification (PTM) site prediction ...

Assessment of human wrist rigidity and pain in post-traumatic patients.

The aim of this work is to present a novel robot-based method to assess the sources of a lack of fun...

Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learning.

The ability to differentiate post-cancer from healthy tongue muscle coordination patterns is necessa...

[Migration of Hem-o-Lok Clips into the Urinary Bladder Used during Robot-Assisted Laparoscopic Prostatectomy].

Recently, robot-assisted laparoscopic prostatectomy (RALP) has become a widely accepted surgical alt...

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care.

Digital health constitutes a merger of both software and hardware technology with health care delive...

Hydrocortisone, Vitamin C and thiamine for the treatment of sepsis and septic shock following cardiac surgery.

BACKGROUND AND AIMS: The effect of vitamin C on vasopressor requirement in critically ill patients h...

Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.

OBJECTIVEFlow diverters (FDs) are designed to occlude intracranial aneurysms (IAs) while preserving ...

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