Ophthalmology

Refractive Surgery

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

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Human-robot facial coexpression.

Large language models are enabling rapid progress in robotic verbal communication, but nonverbal com...

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.

We constructed an early prediction model for postoperative pulmonary complications after thoracoscop...

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning.

In this paper, we propose an amount estimation method for food intake based on both color and depth ...

Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy.

Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabi...

A Longitudinal Analysis of Pre- and Post-Operative Dysmorphology in Metopic Craniosynostosis.

OBJECTIVE: The purpose of this study is to objectively quantify the degree of overcorrection in our ...

Fully semantic segmentation for rectal cancer based on post-nCRT MRl modality and deep learning framework.

PURPOSE: Rectal tumor segmentation on post neoadjuvant chemoradiotherapy (nCRT) magnetic resonance i...

Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human b...

Cognitive ergonomics and robotic surgery.

Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response...

Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate ...

A Machine Learning-Driven Comparison of Ion Images Obtained by MALDI and MALDI-2 Mass Spectrometry Imaging.

Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) enables label-free...

Robotic Care Equipment Improves Communication between Care Recipient and Caregiver in a Nursing Home as Revealed by Gaze Analysis: A Case Study.

The use of robotic nursing care equipment is an important option for solving the shortage of nursing...

Algorithmic and sensor-based research on Chinese children's and adolescents' screen use behavior and light environment.

BACKGROUND: Myopia poses a global health concern and is influenced by both genetic and environmental...

Prediction of postoperative gait speed change after bilateral primary total knee arthroplasty in female patients using a machine learning algorithm.

BACKGROUND: An important aim of total knee arthroplasty is to achieve functional recovery, which inc...

Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.

The application of machine learning in the field of motion capture research is growing rapidly. The ...

Assessment of the quality of online patient-oriented information on robotic colorectal surgery.

With advances in modern medicine, there is a constant need for accurate and up-to-date readily avail...

Robot-Assisted and Haptic-Guided Endodontic Surgery: A Case Report.

There has been a significant increase in robot-assisted dental procedures in the past decade, partic...

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

OBJECTIVE: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data...

Robot-assisted vs laparoscopic bariatric procedures in super-obese patients: clinical and economic outcomes.

The increased operative time and costs represent the main limitations of robotic technology applicat...

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