AIMC Topic: Biomedical Research
Clear Filters Showing 141 to 150 of 568 articles
A primer on the use of machine learning to distil knowledge from data in biological psychiatry.
Molecular psychiatry
Jan 4, 2024
Applications of machine learning in the biomedical sciences are growing rapidly. This growth has been spurred by diverse cross-institutional and interdisciplinary collaborations, public availability of large datasets, an increase in the accessibility...
Artificial Intelligence in Cardiology Research: How to Upskill.
The Canadian journal of cardiology
Dec 30, 2023
Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey.
Yearbook of medical informatics
Dec 26, 2023
OBJECTIVES: This survey aims to provide an overview of the current state of biomedical and clinical Natural Language Processing (NLP) research and practice in Languages other than English (LoE). We pay special attention to data resources, language mo...
Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection.
Computers in biology and medicine
Dec 19, 2023
PROBLEM: Organoids are 3D cultures that are commonly used for biological and medical research in vitro due to their functional and structural similarity to source organs. The development of organoids can be assessed by morphological tests. However, m...
The use of foundational ontologies in biomedical research.
Journal of biomedical semantics
Dec 11, 2023
BACKGROUND: The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to define data and metadata concepts. Ontologies are currently modelled following different approaches, sometimes describing conflicting definitions of ...
Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review.
Cancer epidemiology
Dec 9, 2023
To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based automation tools in comparison with human reviewers in medical literature screening for systematic reviews (SR) of primary studies in cancer research in o...
The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Dec 7, 2023
OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of p...
Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs.
International journal of surgery (London, England)
Dec 1, 2023
Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, and the complexity of traditional clinical trials on patients drive the ap...
The use of ChatGPT in medical research: do we need a reporting guideline?
International journal of surgery (London, England)
Dec 1, 2023
Impact of ChatGPT on Medical Research Article Writing and Publication.
Sultan Qaboos University medical journal
Nov 30, 2023
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