AI Medical Compendium Topic

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Medical Informatics

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Competing Visions for the Soul of Canada's Health and Healthcare System.

Studies in health technology and informatics
Canada's healthcare system faces a critical choice between two futures: "Cyborgville," driven by advanced medical technologies and AI, or a wellness-focused approach inspired by Blue Zones, which emphasize healthy lifestyles and environments. This co...

Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community.

Journal of the American Medical Informatics Association : JAMIA
INTRODUCTION: The rapid advancement of artificial intelligence (AI) has led to significant transformations in health and healthcare. As AI technologies continue to evolve, there is an urgent need to establish a unified framework that guides the desig...

Large language models for biomedicine: foundations, opportunities, challenges, and best practices.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, ...

Generative AI Analysis of Topics from IMIA Historical Narratives in Medical Informatics.

Studies in health technology and informatics
This describes a project that analyzes and compares the research topics in medical and health informatics emphasized by authors of autobiographical narratives contained in the online IMIA History eBook published in 2021, as the field advanced over th...

Leveraging Clinical Data Treasures: Integration of an AI Platform into Clinical IT.

Studies in health technology and informatics
In recent years, there has been a rapid growth in the use of AI in the clinical domain. In order to keep pace with this development, a framework should be created in which clinical AI models can be easily trained, managed and applied. In our study, w...

Multimodal representation learning for medical analytics - a systematic literature review.

Health informatics journal
Machine learning-based analytics over uni-modal medical data has shown considerable promise and is now routinely deployed in diagnostic procedures. However, patient data consists of diverse types of data. By exploiting such data, multimodal approach...

Artificial intelligence and health information: A bibliometric analysis of three decades of research.

Health informatics journal
Information on the application of artificial intelligence (AI) in healthcare is needed to align healthcare transformation efforts. This bibliometric analysis aims to establish the patterns of publication activities on the application of AI in health....

A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis.

Mathematical biosciences and engineering : MBE
Biomedical data analysis is essential in current diagnosis, treatment, and patient condition monitoring. The large volumes of data that characterize this area require simple but accurate and fast methods of intellectual analysis to improve the level ...