Hospital-Based Medicine

Risk Management

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

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Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review.

BACKGROUND: In the last few years, there has been an increasing interest in the development of artif...

Enhancing Facial Expression Recognition through Light Field Cameras.

In this paper, we study facial expression recognition (FER) using three modalities obtained from a l...

AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol.

INTRODUCTION: This paper outlines the steps necessary to assess the latest developments in artificia...

A Federated Learning Protocol for Spiking Neural Membrane Systems.

Although deep learning models have shown promising results in solving problems related to image reco...

Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review.

INTRODUCTION: Development of asthma and allergies in childhood/adolescence commonly follows a sequen...

Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study.

This paper outlines the protocol for the deployment of a cloud-based universal medical image reposit...

Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.

OBJECTIVES: The aim of this study was to evaluate the use of a multicontrast deep learning (DL)-reco...

The simplification of the symptom Checklist-90 scale utilizing machine learning techniques.

The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges d...

Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning-Based Design Thinking Study.

BACKGROUND: The use of technologies has had a significant impact on patient safety and the quality o...

A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.

Implementation of artificial intelligence systems for healthcare is challenging. Understanding the b...

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