AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 21 to 30 of 1224 articles

Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet.

Studies in health technology and informatics
Artificial intelligence (AI) has transformed medical diagnostics by enhancing the accuracy of disease detection, particularly through deep learning models to analyze medical imaging data. However, the energy demands of training these models, such as ...

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Studies in health technology and informatics
Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early Warning Systems (EWS). Statistical and rules-based methods have been traditionally employed in such systems, but are challenged by data dynamics and ...

A Mixed-Methods Evaluation of LLM-Based Chatbots for Menopause.

Studies in health technology and informatics
The integration of Large Language Models (LLMs) into healthcare settings has gained significant attention, particularly for question-answering tasks. Given the high-stakes nature of healthcare, it is essential to ensure that LLM-generated content is ...

Leveraging Vision Transformers in Multimodal Models for Retinal OCT Analysis.

Studies in health technology and informatics
Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology, providing high-resolution cross-sectional images of the retina. Accurate classification of OCT images is crucial for diagnosing retinal diseases such as...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

Studies in health technology and informatics
The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study...

AI in Healthcare - A Transdisciplinary Teaching Approach.

Studies in health technology and informatics
The growing adoption of artificial intelligence (AI) requires a workforce capable of addressing related challenges. The course AI in Healthcare prepares students to solve real-world problems using AI methods. Working in teams, students tackle case st...

Exploring Data Science Students' Engagement, Usage Patterns, and Perceptions of Large Language Models in Programming.

Studies in health technology and informatics
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students....

Virtual Enumerator's Training for Time and Motion Studies Using AI Scenarios.

Studies in health technology and informatics
This paper presents the implementation of a virtual training program for enumerators conducting Time and Motion Studies using the WOMBAT methodology, as part of a project assessing healthcare workflows before the adoption of an Electronic Health Reco...

Bridging AI and Medical Expertise: ChatGPT's Success on the Medical Specialization Residency Admission Exam in Spain.

Studies in health technology and informatics
The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potential of generative AI models like ChatGPT-4 is a trending topic. The study examines how ChatGPT-4 performed on the national Medicine Residency exam in Sp...

Assessment of Machine Learning Algorithms to Predict Medical Specialty Choice.

Studies in health technology and informatics
Equitable distribution of physicians across specialties is a significant public health challenge. While previous studies primarily relied on classic statistics models to estimate factors affecting medical students' career choices, this study explores...