Ophthalmology

Refractive Surgery

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

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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical ...

Apr 2020 32298265
Discriminating stress from rest based on resting-state connectivity of the human brain: A supervised machine learning study.

Acute stress induces large-scale neural reorganization with relevance to stress-related psychopathol...

Apr 2020 32293072
Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis.

Assessing the well-being of an animal is hindered by the limitations of efficient communication betw...

Apr 2020 32294094
Achieving affective human-virtual agent communication by enabling virtual agents to imitate positive expressions.

Affective communication, communicating with emotion, during face-to-face communication is critical f...

Apr 2020 32249796
Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.

Advances in two two-photon microscopy (2PM) have made three-dimensional (3D) neural imaging of deep ...

Jan 2020 32078964
Prediction of Myopia in Adolescents through Machine Learning Methods.

According to literature, myopia has become the second most common eye disease in China, and the inci...

Jan 2020 31936770
Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury.

Our previous work showed that lateral fluid percussion injury to the sensorimotor cortex (SMC) of an...

Jan 2020 31913777
Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data.

Prediction models of post-liver transplant mortality are crucial so that donor organs are not alloca...

Jan 2020 31926745
Effects of post-weaning supplementation of immunomodulatory feed ingredient on body weight and cortisol concentrations in program-fed beef heifers.

The objective of this study was to determine the effects of an immunomodulatory feed ingredient duri...

Dec 2019 32062340
Predicting the occurrence of surgical site infections using text mining and machine learning.

In this study we propose the use of text mining and machine learning methods to predict and detect S...

Dec 2019 31834905
Optical Coherence Tomography Guided Robotic Needle Insertion for Deep Anterior Lamellar Keratoplasty.

OBJECTIVE: Deep anterior lamellar keratoplasty (DALK) significantly reduces the post-transplantation...

Nov 2019 31751219
Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries.

BACKGROUND AND OBJECTIVE: Streptococcus mutans is the primary initiator and most common organism ass...

Nov 2019 31760304
Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.

This study presents a novel research approach to predict user interaction for social media post usin...

Nov 2019 31714918
Association of polymorphisms in , , and with post-induction infliximab trough level in Crohn's disease patients.

BACKGROUND: Trough levels of the post-induction serum infliximab (IFX) are associated with short-ter...

Oct 2019 33163192
Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenti...

Oct 2019 31647929
Predicting post-stroke pneumonia using deep neural network approaches.

BACKGROUND AND PURPOSE: Pneumonia is a common complication after stroke, causing an increased length...

Oct 2019 31629312
Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Sep 2019 31552774
Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state...

Sep 2019 31533735
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that i...

Sep 2019 31561184
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