Artificial Intelligence Medical Compendium

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

Showing 58,621 to 58,630 of 227,634 articles

Cellulose Nanocrystal-Based Robotic Devices for Encrypted Information Transmission.

Biomacromolecules
Degree of circular polarization (DOCP) of reflected light is an intriguing optical phenomenon of chiral photonic materials; however, it remains underexploited. This is especially the case with cellulose nanocrystals (CNCs), despite the fact that thei... read more 

Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.

JMIR nursing
BACKGROUND: Artificial intelligence (AI) continues to expand into nursing and health care. Many examples of AI applications driven by machine or deep learning are in use. Examples include wearable devices or alerts for risk prediction. AI tends to be... read more 

Contributors: Artificial Intelligence in Gynecology.

Clinical obstetrics and gynecology
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Contributors: Artificial Intelligence in Obstetrics.

Clinical obstetrics and gynecology
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Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study.

JMIR medical informatics
BACKGROUND: Given the highly heterogeneous biology of breast cancer, a more effective noninvasive diagnostic tool that unravels microscopic histopathology patterns is urgently needed. OBJECTIVE: This study aims to identify cancerous regions in ultras... read more 

Two-Minute Deep Learning-Powered Brain Quantitative Mapping: Accelerating Clinical Imaging With Synthetic Magnetic Resonance Imaging.

JMIR medical informatics
BACKGROUND: Quantitative magnetic resonance imaging (MRI) is an advanced technique that can map the physical properties (T1, T2, and proton density [PD]) of different tissues, offering crucial insights for disease diagnosis. Nonetheless, the practica... read more 

Triaging Casual From Critical-Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study.

JMIR mental health
BACKGROUND: This study aims to detect self-harm or suicide (SH-S) ideation language used by youth (aged 13-21 y) in their private Instagram (Meta) conversations. While automated mental health tools have shown promise, there remains a gap in understan... read more 

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (EHR) environments; however, their introduction can disrupt existing workflows and raise patient safe... read more 

On-device single channel EEG classification on Android smartphones using lightweight machine learning models.

Biomedical physics & engineering express
OBJECTIVE: Electroencephalogram (EEG) signals capture neuronal activity by measuring electrical activity on the scalp, making them valuable for cognitive and medical applications. While traditional deep learning models achieve high accuracy in EEG cl... read more 

Influence of personalized human head modeling and resolution on EEG source localization for rapid brain mapping.

Physics in medicine and biology
OBJECTIVE: To evaluate the trade-offs among model resolution, anatomical fidelity, computational cost, and localization accuracy in EEG source imaging using personalized head models. Special emphasis was placed on segmentation-free modeling and spars... read more