Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND AND AIMS: Spinal anesthesia is a technique widely used for gynecological, lower abdominal...
Higher capital costs and operating room costs associated with Lobectomy via Robot Assisted Thoracic ...
INTRODUCTION: Collecting accurate operative details remains a limitation of surgical research. Surge...
With wide deployment of deep neural network (DNN) classifiers, there is great potential for harm fro...
This article solves the problem of optimal synchronization, which is important but challenging for c...
Vaginitis is a gynecological disease affecting the health of millions of women all over the world. T...
It is argued that ports are playing a crucial role in developing nations' economy. Still, solutions ...
Use of machine learning (ML) for automated annotation of heart structures from echocardiographic vid...
Gaussian blurring is a well-established method for image data augmentation: it may generate a large ...
In the past few years, big data related to healthcare has become more important, due to the abundanc...
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), ob...
Wastewater recycling is the measure with enormous potentiality to achieve carbon neutrality in waste...
OBJECTIVE: To investigate the impact of erectile function on health-related quality of life in Japan...
Poor air quality is becoming a critical environmental concern in different countries over the last s...
Convolutional neural networks (CNNs)-based video quality enhancement generally employs optical flow ...
PURPOSE: To investigate the image quality and feasibility of a novel artificial intelligence iterati...
Improvements in computing capacity have allowed computers today to execute increasingly complex task...
BACKGROUND: The quantitative measures used to assess the performance of automated methods often do n...
This study aims at high-frequency ultrasound image quality assessment for computer-aided diagnosis o...
BACKGROUND: Despite the growing number of patients with both coronary artery disease and gynecologic...