Health Policy

It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare.

Indian healthcare is fast growing and with significant chunk of it being in small, fragmented, infor...

Editorial Comment to Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

A Real-Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning.

Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by...

Image Quality Assessment: Unifying Structure and Texture Similarity.

Objective measures of image quality generally operate by comparing pixels of a "degraded" image to t...

AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed Tomography.

(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI...

Machine Learning in Injection Molding: An Industry 4.0 Method of Quality Prediction.

One of the essential requirements of injection molding is to ensure the stable quality of the parts ...

Quality of laparoscopic camera navigation in robot-assisted versus conventional laparoscopic surgery for rectal cancer: An analysis of surgical videos through a video processing computer software.

BACKGROUND: To compare laparoscopic camera navigation (LCN) quality between robot-assisted laparosco...

The future of artificial intelligence in medicine: Medical-legal considerations for health leaders.

Artificial Intelligence (AI) is becoming increasingly common in healthcare and has potential to impr...

Improving Image Quality for Single-Angle Plane Wave Ultrasound Imaging With Convolutional Neural Network Beamformer.

Ultrafast ultrasound imaging based on plane wave (PW) compounding has been proposed for use in vario...

Predicting financial losses due to apartment construction accidents utilizing deep learning techniques.

This study aims to generate a deep learning algorithm-based model for quantitative prediction of fin...

Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.

Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and tr...

Improving Diagnosis Through Digital Pathology: Proof-of-Concept Implementation Using Smart Contracts and Decentralized File Storage.

BACKGROUND: Recent advancements in digital pathology resulting from advances in imaging and digitiza...

New Quality Cost Framework (QCF) Based on the Hybrid Fuzzy MCDM Approach.

Quality cost framework (QCF), as a measurement tool and research method, has played a significant ro...

Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

OBJECTIVE: Literature suggests access to robotic surgery varies by race and payer status. We seek to...

Explaining spatial accessibility to high-quality nursing home care in the US using machine learning.

In this study we measure and map the system-wide spatial accessibility to good quality nursing home ...

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions.

The aim is to improve the teaching quality of music majors and cultivate their innovative ability. T...

Product Processing Quality Classification Model for Small-Sample and Imbalanced Data Environment.

With the rapid development of machine learning technology, how to use machine learning technology to...

Automated quality assessment of large digitised histology cohorts by artificial intelligence.

Research using whole slide images (WSIs) of histopathology slides has increased exponentially over r...

Three-Dimensional Ultrasound Images in the Assessment of Bladder Tumor Health Monitoring under Deep Learning Algorithms.

This study was aimed at exploring the application value of three-dimensional (3D) ultrasound based o...

Evaluation of the Effect of Comprehensive Nursing Interventions on Plaque Control in Patients with Periodontal Disease in the Context of Artificial Intelligence.

Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new pl...

Deep convolutional neural network-based signal quality assessment for photoplethysmogram.

Quality assessment of bio-signals is important to prevent clinical misdiagnosis. With the introducti...