Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 36,501 to 36,510 of 223,137 articles

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach.

JMIR AI
BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with risks associated with criminal legal system involvement. These underserved women are often managed t... read more 

Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study.

JMIR AI
BACKGROUND: Machine learning (ML) can be used to predict clinical outcomes. Training predictive models typically requires data for hundreds or thousands of patients. Lowering this requirement to a few tens of patients would enable new applications in... read more 

DiffPC: Diffusion-Based Projector Photometric Compensation.

IEEE transactions on visualization and computer graphics
Projector photometric compensation corrects color distortions introduced by surface texture, reflection, and ambient lighting. Existing deep learning-based methods usually require professional scene-specific data collection and lack consideration for... read more 

Tuning Immersion and Performance with Adaptive Generative Music in VR.

IEEE transactions on visualization and computer graphics
Music in virtual environments has long been treated as a temporal evolving element, enhancing atmosphere and game pace but rarely considered as a performance adaptive element. Recent advances in artificial intelligence (AI) and procedural audio make ... read more 

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

IEEE reviews in biomedical engineering
Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Leveraging these advantages, sonogenetics combines therapeutic ultrasound with genetic, cellular, and mole... read more 

A BiLSTM-Based Framework for Sleep Spindle and K-complex Detection with Enhanced Segment-Level Learning.

IEEE transactions on bio-medical engineering
Sleep spindles and K-complexes in electroencephalo gram (EEG) signals are brief yet physiologically essential signatures of the sleeping brain, supporting memory consolidation, arousal regulation, and neurological assessment. However, existing detect... read more 

Rethinking Skeleton-based Action Recognition from Action-class Prediction Distribution Perspective.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Action recognition has long been a fundamental and compelling problem in the field of computer vision. However, one aspect that has been overlooked so far is that current action recognition approaches often produce an unfavourable multi-peaked distri... read more 

FLASH: Energy-Efficient FPGA Acceleration via Linear Approximation and Streamlined Two-Stage Pipeline Architectures for Quantized CNN-Transformer Hybrid Networks.

IEEE transactions on neural networks and learning systems
Hybrid Vision Transformers (HybridViTs), which integrate convolutional neural networks (CNNs) with Transformer blocks, offer both local and global feature extraction capabilities, achieving high performance across a range of computer vision tasks. Ho... read more 

A comparative approach on classification of medical condition drug reviews using multiple traditional and neural network-based models.

Computer methods in biomechanics and biomedical engineering
This paper uses national language processing techniques to perform sentiment analysis, classifying user-written drug reviews for pain, depression, and birth control. Six machine learning (ML)-based models are employed for analysis, including neural n... read more 

The Patient Monitoring Roundtable as Catalyst for Health Care Innovation: Case Study.

Journal of participatory medicine
BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from industry. To conquer this, the Patient Monitoring Roundtable (PMRT) live event series offers a sustainable... read more