Artificial Intelligence Medical Compendium

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

Showing 62,131 to 62,140 of 230,319 articles

Adversarially robust neural network decision boundaries via tropical geometry.

Neural networks : the official journal of the International Neural Network Society
We introduce a simple, easy to implement, and computationally efficient tropical convolutional neural network architecture that is robust against adversarial attacks. We exploit the tropical nature of piece-wise linear neural networks by embedding th... read more 

Personalized surveillance in giant congenital melanocytic nevus, including the role of AI, histopathology and MC1R genotyping: A case report.

Biomedical reports
Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry an increased risk of malignant melanoma and neurocutaneous melanosis. Early diagnosis and long-term follow-up care are essential for high-risk patien... read more 

Exploring potential biomarkers of NETosis-Related genes in spinal cord injury through machine learning and multi-omics analysis.

Biochemistry and biophysics reports
Spinal cord injury (SCI) is a serious condition typically caused by mechanical trauma, often resulting in significant motor, sensory, and autonomic dysfunction. It places a heavy burden on individuals, families, and society; however, effective treatm... read more 

Automated 3D segmentation of human vagus nerve fascicles and epineurium from micro-computed tomography images using anatomy-aware neural networks.

Journal of neural engineering
Objective.Precise segmentation and quantification of nerve morphology from imaging data are critical for designing effective and selective peripheral nerve stimulation (PNS) therapies. However, prior studies on nerve morphology segmentation suffer fr... read more 

Biofabrication of 3D bioprinted and organ-on-chip blood-brain barrier models using hCMEC/D3 for intranasal delivery of central nervous system therapeutics.

Biofabrication
The BBB remains a major obstacle to effective treatment of CNS disorders by limiting the entry of most therapeutics into the brain. The hCMEC/D3 is widely used as anin vitromodel to study BBB structure, permeability, and drug transport. In parallel, ... read more 

CTSSP: A temporal-spectral-spatial joint optimization algorithm for motor imagery EEG decoding.

Journal of neural engineering
Objective.Motor imagery brain-computer interfaces hold significant promise for neurorehabilitation, yet their performance is often compromised by electroencephalography (EEG) non-stationarity, low signal-to-noise ratios, and severe cross-session vari... read more 

Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup.

Annales de biologie clinique
The arrival of AI in medical biology is inevitable, and in many ways these tools are already in use in our laboratories. Given this observation, it was determined that it was imperative for the French Society of Clinical Biology to offer a set of res... read more 

Leveraging an AI-Driven Voice Companion to Enhance Mental Health in Older Adults in Post-Acute and Long-Term Care Settings: A Feasibility Study.

Journal of the American Medical Directors Association
Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term care settings and are associated with adverse health outcomes. Existing psychosocial interventions often face challenges related to scalability and susta... read more 

Enhancing urban river self-purification through riverbed substrates configuration: A nature-based solution for nutrient removal and restoration planning.

Journal of environmental sciences (China)
Appropriate riverbed substrates, as nature-based engineering components, are critical for enhancing nutrient mitigation and ecosystem sustainability in urban rivers. However, their role in regulating hydrologically mediated nutrient fluxes and biofil... read more