AIMC Topic: Male

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Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Journal of integrative neuroscience
Stress has become a dangerous health problem in our life, especially in student education journey. Accordingly, previous methods have been conducted to detect mental stress based on biological and biochemical effects. Moreover, hormones, physiologica...

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.

Schizophrenia bulletin
BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model aimed at predicting 4-6-week remission following a first episode of psychosis.

Predicting Anterior Cruciate Ligament Reconstruction Revision: A Machine Learning Analysis Utilizing the Norwegian Knee Ligament Register.

The Journal of bone and joint surgery. American volume
BACKGROUND: Several factors are associated with an increased risk of anterior cruciate ligament (ACL) reconstruction revision. However, the ability to accurately translate these factors into a quantifiable risk of revision at a patient-specific level...

Bilateral endoscopic technique for left atrial appendectomy and robot-assisted mitral valve repair.

Interactive cardiovascular and thoracic surgery
We report a bilateral thoracoscopic technique in which robot-assisted mitral valve repair was achieved concomitantly with stapler division of the large left atrial appendage. The patient was a 65-year-old male with severe mitral regurgitation, paroxy...

Recent Developments in Artificial Intelligence-Based Techniques for Prostate Cancer Detection: A Scoping Review.

Studies in health technology and informatics
Artificial intelligence (AI) techniques can contribute to the early diagnosis of prostate cancer. Recently, there has been a sharp increase in the literature on AI techniques for prostate cancer diagnosis. This review article presents a summary of th...

Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns.

Studies in health technology and informatics
The goal of this study was to build a machine learning model for early prostate cancer prediction based on healthcare utilization patterns. We examined the frequency and pattern changes of healthcare utilization in 2916 prostate cancer patients 3 yea...

[Comparison of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty].

Zhonghua yi xue za zhi
To compare the differences of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty (THA). Patients underwent robot-assisted and manual THA from May to September of 2020 in the First Affiliated Hospi...

Diagnosis of Choroidal Disease With Deep Learning-Based Image Enhancement and Volumetric Quantification of Optical Coherence Tomography.

Translational vision science & technology
PURPOSE: The purpose of this study was to quantify choroidal vessels (CVs) in pathological eyes in three dimensions (3D) using optical coherence tomography (OCT) and a deep-learning analysis.

Reproducibility of a modified posterior reconstruction during robotic intracorporeal neobladder reconfiguration.

International braz j urol : official journal of the Brazilian Society of Urology
OBJECTIVE: Robotic intracorporeal neobladder reconstruction is a complex procedure in which the approximation of the reservoir to the urethral stump can be a demanding step. The aim of the study is to evaluate the reproducibility of a modified poster...

Megarrectosigmoides por constipación crónica idiopática, sigmoidectomía con robot en el paciente pediátrico. Primer caso en México.

Cirugia y cirujanos
We present the first pediatric case of Da Vinci Xi robot-assisted video sigmoidectomy in a 9-year-old male with chronic idiopathic constipation refractory to medical treatment and megarectosigmoid. He underwent sigmoidectomy with primary anastomosis ...