AIMC Topic: Artificial Intelligence

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Integrating Artificial Intelligence in the Medical Curriculum: Approaches and Strategies.

Studies in health technology and informatics
The integration of Artificial Intelligence in Medicine (AIM) into medical curricula has become essential, yet it presents challenges in balancing theoretical concepts with practical applications. This paper details the development, implementation, an...

Key Considerations for Governing Safe and Responsible Use of AI in Healthcare.

Studies in health technology and informatics
This study explores the governance challenges and opportunities associated with the implementation and use of AI in healthcare, offering practical insights informed by extensive stakeholder interviews. By analyzing perspectives from academia, governm...

Factors Shaping Healthcare Professionals' Perceptions of AI in Saudi Arabia: A Cross-Sectional Study.

Studies in health technology and informatics
The successful adoption of artificial intelligence (AI) in healthcare relies on healthcare professionals' perceptions of its usefulness and their preparedness to integrate it into their practice. This study explores factors influencing these percepti...

Participatory Design for AI-Embedded Artifacts: The Case of ECEB App Design to Fostering Ownership.

Studies in health technology and informatics
AI-embedded artifacts in healthcare settings often perpetuate neocolonialism when designed and implemented without meaningful local participation, particularly in low- and middle-income countries. This paper examines how participatory design (PD) met...

Supporting Personalized prEgnancy Care wIth Artificial inteLligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform.

Studies in health technology and informatics
Postpartum depression (PPD) affects approximately 20% of pregnant individuals, yet half of these cases remain under-treated despite the availability of educational interventions. To address this gap, the Supporting Personalized prEgnancy Care wIth Ar...

End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application.

Studies in health technology and informatics
This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design study of ExSnus, a prototype of a mobile health application designed to assist users in quitting snus. ExSnus includes features such as a forum to share...

Understanding Clinicians' Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial.

Studies in health technology and informatics
The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing documentation patterns, predicting hospitalized patients' risk of clinical deterioration. It generates real-time risk scores displayed on the electronic healt...

An Electrocardiogram Multi-Task Benchmark with Comprehensive Evaluations and Insightful Findings.

Studies in health technology and informatics
In the process of patient diagnosis, non-invasive measurements are widely used due to their low risks and quick results. Electrocardiogram (ECG), as a non-invasive method to collect heart activities, is used to diagnose cardiac conditions. Analyzing ...

Preliminary Results from Using Gen-AI to Personalized Medication Leaflets.

Studies in health technology and informatics
The product information of a medicinal product includes the summary of product characteristics (SmPC), package label, and patient information leaflet (PIL), previously available only in paper or pdf format. The European Medicines Agency (EMA) in 2020...

From Internal Validation to External Validation: An Artificial Intelligence-Based Study on Predicting Optimal Timing for Mechanical Ventilation Weaning in ICU Patients.

Studies in health technology and informatics
Mechanical ventilation weaning is critical for ICU patients, as prolonged or premature use can cause adverse outcomes and resource waste. Using six years of ICU data, Chi Mei Medical Center developed two-stage AI predictive models to optimize the tim...