AIMC Journal:
Studies in health technology and informatics

Showing 451 to 460 of 1224 articles

A Hybrid AI-Based Method for ICD Classification of Medical Documents.

Studies in health technology and informatics
Automatic document classification is a common problem that has successfully been addressed with machine learning methods. However, these methods require extensive training data, which is not always readily available. Additionally, in privacy-sensitiv...

Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is often presented as a technology that changes healthcare and is useful in clinical work in disease prediction, diagnosis, treatment effectiveness, and precision health. This study aimed to explore healthcare leaders' pe...

Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principle...

Using Real-Time Interaction Analysis to Explore Human-Robot Interaction.

Studies in health technology and informatics
Despite the increasing presence of social robots (SRs) in Human-Robot Interaction, there are few studies that quantify these interactions and explore children's attitudes by analyzing real-time data as they communicate with SRs. Therefore, we attempt...

A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning.

Studies in health technology and informatics
Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effecti...

Towards an Explainable AI-Based Tool to Predict Preterm Birth.

Studies in health technology and informatics
Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models are adapted to accurately estimate the probability of PTB. In doing so, pregnant women' objective r...

Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification.

Studies in health technology and informatics
As the use of artificial intelligence within healthcare is on the rise, an increased attention has been directed towards ethical considerations. Defining fairness in machine learning is a well explored topic with an extensive literature. However, suc...

First Contact, First Learnings - Nursing Staff Approaching Robotics in Health Care.

Studies in health technology and informatics
Systems for service and assistance robotics become relevant in nursing care. Workshops with target user groups can support the reflection and identification of scenarios for the use of robotic systems.

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Studies in health technology and informatics
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...

Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans.

Studies in health technology and informatics
In this study, we propose a Convolutional Neural Network (CNN) with an assembly of non-linear fully connected layers for estimating body height and weight using a limited amount of data. This method can predict the parameters within acceptable clinic...