Artificial Intelligence Medical Compendium

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

Showing 49,271 to 49,280 of 224,513 articles

Knowledge, Skills, and Attitudes of Nursing Students Toward Artificial Intelligence: A Scoping Review.

Computers, informatics, nursing : CIN
BACKGROUND: This study mapped the scientific evidence on the knowledge, skills, and attitudes of nursing students regarding artificial intelligence (AI), analyzing trends, challenges, and curricular opportunities. METHODS: This is a scoping review co... read more 

Deep Learning-Based Auto-Navigation for Free-Breathing Golden-Angle Radial MRI.

Magnetic resonance in medicine
PURPOSE: To develop a deep learning-based auto-navigation technique for free-breathing golden-angle radial MRI named RANGR (Respiratory Auto-Navigator for Golden-angle Radial free-breathing abdominal MRI). METHODS: RANGR computes a one-dimensional (1... read more 

Comparison of Artificial Intelligence Chatbots and Dental Students on Context of Dental Trauma.

Dental traumatology : official publication of International Association for Dental Traumatology
AIM: Daily use of chatbots has become widespread in dental education just as in every other field. Dental students consult them when performing tasks and studying for exams. This study aims to test comprehension abilities and knowledge of 5 different... read more 

Microbial community biomarkers can forecast methane production in full-scale anaerobic digesters.

Journal of environmental management
Methane production from wastewater sludge via anaerobic digestion is a complex process and a disturbance in any one of the microbial stages can lead to eventual failure. Hence, it is desirable to detect disturbances as soon as possible. Although mach... read more 

Task-specific neural networks for medical imaging using pretrained fragments.

Computers in biology and medicine
The StitchNet framework introduced a paradigm shift in Neural Architecture Search (NAS) by proposing the construction of neural networks from pre-trained fragments. This approach reduces computational costs and enables task-specific model creation wi... read more 

From modality-specific to compositional foundation models for cell biology.

Cell systems
Deriving principles governing cell biology from single-cell measurements across modalities, called multimodal modeling, can advance our understanding of cellular states in health and disease. Realizing the full potential of multimodal models requires... read more 

Artificial intelligence for microbiology and microbiome research.

Cell systems
Advancements in artificial intelligence (AI) have transformed many scientific fields, with microbiology and microbiome research now experiencing significant breakthroughs through machine-learning applications. This review provides a comprehensive ove... read more 

Generative AI for synthetic biology: Designing biological parts, circuits, and genomes.

Cell systems
Synthetic biology aims to achieve predictable, programmable control over living systems by designing and engineering biological components and functions. Over the past 25 years, the field has advanced from foundational molecular tools to increasingly... read more 

The hierarchical timescale hypothesis: Functional and structural convergence of biological networks and artificial neural nets.

Cell systems
Are there general, systems-level principles guiding the evolution and design of natural or artificial sensory and signaling networks? Here, we argue that the signal transduction networks in living cells display important similarities in their organiz... read more