AIMC Topic: Medical Informatics
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Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.
Journal of biomedical informatics
Jun 9, 2024
OBJECTIVE: Pneumothorax is an acute thoracic disease caused by abnormal air collection between the lungs and chest wall. Recently, artificial intelligence (AI), especially deep learning (DL), has been increasingly employed for automating the diagnost...
Artificial Intelligence - AI - Present and Future. The New Revolution in Global Informatics; it is for Sure for Future Generations to Engulf and get used to.
The Journal of craniofacial surgery
May 14, 2024
Potential of Large Language Models in Health Care: Delphi Study.
Journal of medical Internet research
May 13, 2024
BACKGROUND: A large language model (LLM) is a machine learning model inferred from text data that captures subtle patterns of language use in context. Modern LLMs are based on neural network architectures that incorporate transformer methods. They al...
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
Journal of imaging informatics in medicine
Apr 1, 2024
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tack...
A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data.
Scientific reports
Jan 27, 2024
The emergence of collaborations, which standardize and combine multiple clinical databases across different regions, provide a wealthy source of data, which is fundamental for clinical prediction models, such as patient-level predictions. With the ai...
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare organizations is challenging. This is due, in par...
BactInt: A domain driven transfer learning approach for extracting inter-bacterial associations from biomedical text.
Computational biology and chemistry
Jan 4, 2024
BACKGROUND: The healthy as well as dysbiotic state of an ecosystem like human body is known to be influenced not only by the presence of the bacterial groups in it, but also with respect to the associations within themselves. Evidence reported in bio...
Discriminative fusion of moments-aligned latent representation of multimodality medical data.
Physics in medicine and biology
Dec 26, 2023
Fusion of multimodal medical data provides multifaceted, disease-relevant information for diagnosis or prognosis prediction modeling. Traditional fusion strategies such as feature concatenation often fail to learn hidden complementary and discriminat...
Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics.
Yearbook of medical informatics
Dec 26, 2023
OBJECTIVES: This review presents research papers highlighting notable developments and trends in sensors, signals, and imaging informatics (SSII) in 2022.
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