Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health.

With the rise of self-driving technology research, the establishment of a scientific and perfect leg...

Automated Protocoling for MRI Exams-Challenges and Solutions.

Automated protocoling for MRI examinations is an amendable target for workflow automation with artif...

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control.

By the method of documentation and logical analysis, based on the data, based on logic and based on ...

Light Weight Deep Learning Algorithm for Voice Call Quality of Services (Qos) in Cellular Communication.

In this paper, a deep learning algorithm was proposed to ensure the voice call quality of the cellul...

Development of artificial intelligence model for supporting implant drilling protocol decision making.

Purpose This study aimed to develop an artificial intelligence (AI) model to support the determinati...

The Construction of English Smart Classroom Teaching Mode Based on Deep Learning.

Deep learning has an increasingly far-reaching impact on classroom teaching and is an important tren...

Analysis of the Current Situation of Teaching and Learning of Ideological and Political Theory Courses by Deep Learning.

The objectives are to solve the problems existing in the current ideological and political theory co...

Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.

INTRODUCTION: Anterior segment optical coherence tomography (AS-OCT) is a non-contact, rapid, and hi...

I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction.

Most proteins in cells are composed of multiple folding units (or domains) to perform complex functi...

Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach.

This study presents a deep learning model devoted to the analysis of swimming using a single Inertia...

Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia.

Assessing the numbers and distribution of at-risk megafauna such as the black rhino () is key to eff...

Protocol to estimate cell type proportions from bulk RNA-seq using DAISM-DNN.

Computational protocols for cell type deconvolution from bulk RNA-seq data have been used to underst...

Tasks for artificial intelligence in prostate MRI.

The advent of precision medicine, increasing clinical needs, and imaging availability among many oth...

Best of Both Worlds: Detecting Application Layer Attacks through 802.11 and Non-802.11 Features.

Intrusion detection in wireless and, more specifically, Wi-Fi networks is lately increasingly under ...

Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption.

In this article, a periodic self-triggered impulsive (PSTI) control scheme is proposed to achieve sy...

Protocol to predict mechanical properties of multi-element ceramics using machine learning.

Identifying and designing high-performance multi-element ceramics based on trial-and-error approache...

Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review.

BACKGROUND: In recent years, innovations in artificial intelligence (AI) have led to the development...

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