Ophthalmology

Refractive Surgery

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

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Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

This paper presents an electroencephalography (EEG) based-classification of between pre- and post-me...

A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery.

Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. Th...

[NEW OPPORTUNITIES IN NEURO-REHABILITATION: ROBOT MEDIATED THERAPY IN CONDITONS POST CENTRAL NERVOUS SYSTEM IMPAIRMENTS].

Decreasing the often-seen multiple disabilities as a consequence of central nervous system impairmen...

[Evaluation of motor skills recovery in post-stroke patients in the process of complex rehabilitation with the use of robotic kinesiotherapy].

AIM: To compare the efficacy of complex rehabilitation in patients receiving robotic kinesiotherapy ...

[Electroacupuncture Intervention Combined with Anesthetics for Analgesia and Post-surgical Gastrointestinal Recovery in Pneumectomy Patients].

OBJECTIVE: To observe the effect of electroacupuncture (EA) stimulation of bilateral Taichong (LR 3)...

Aspherical lens design using hybrid neural-genetic algorithm of contact lenses.

The design of complex contact lenses involves numerous uncertain variables. How to help an optical d...

EFFECTS OF PREOPERATIVE ENOXAPARIN ON BLEEDING AFTER CORONARY ARTERY BYPASS SURGERY.

BACKGROUND: Low molecular weight heparins are replacing unfractionated heparin in practice prior to ...

Biometry-based concentric tubes robot for vitreoretinal surgery.

Vitreoretinal surgery requires dexterous manoeuvres of tiny surgical tools in the confined cavity of...

Multiple ocular diseases detection based on joint sparse multi-task learning.

In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-ta...

Do post-stroke patients benefit from robotic verticalization? A pilot-study focusing on a novel neurophysiological approach.

BACKGROUND: Tilt-table equipped with the dynamic foot-support (ERIGO) and the functional electric st...

Successful Robotic Cystogastrostomy after Failed Endoscopic Drainage for Infected Pancreatic Fluid Collection Post Distal Pancreatectomy.

We are presenting the management of an infected pancreatic fluid collection that occurred six months...

A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination.

Post-coordination provides the means to achieve an appropriate content coverage, which is critical i...

Problem Solving for Volatilizing Situation in Nursing: Developing Thinking Process Supporting System using NursingNAVI® Contents.

We have identified three foci of the nursing observation and nursing action respectively. Using thes...

Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network.

The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their...

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