Artificial Intelligence Medical Compendium

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

Showing 59,911 to 59,920 of 228,014 articles

Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers.

Neural computation
Operator learning is a recent development in the simulation of partial differential equations by means of neural networks. The idea behind this approach is to learn the behavior of an operator, such that the resulting neural network is an approximate... read more 

Semantic segmentation deep learning model boosts surgeons' organ recognition in minimally invasive hysterectomy - a prospective multi-center reader performance study using pre-selected video clips.

International journal of surgery (London, England)
BACKGROUND: Injury to the ureter and bladder during minimally invasive hysterectomy remains a serious complication, often resulting from insufficient intraoperative organ recognition. Artificial intelligence (AI)-based support systems may improve ana... read more 

Implementation of reconfigurable logic-in memory in a cultured neuronal network with a crossbar structure.

Lab on a chip
The concept of logical neural networks, proposed by McCulloch and Pitts, along with Hebb's postulate of learning-specifically, spike-timing-dependent plasticity (STDP), has had a substantial influence on the development of brain-inspired computing re... read more 

Experimental dataset of the reverse water-gas shift reaction in a fixed-bed reactor setup under varying reactor conditions.

Data in brief
This data article presents a dataset of miniplant-scale reverse water-gas shift (rWGS) experiments conducted in a heated fixed-bed reactor under systematically varied operating conditions. The dataset contains processed measurements including reactor... read more 

ConcreteCARB: A comprehensive image dataset of concrete carbonation for computer vision tasks.

Data in brief
The ConcreteCARB dataset provides a comprehensive repository of 903 high-resolution images of concrete surfaces evaluated using the phenolphthalein test for carbonation detection. This data was collected under controlled laboratory conditions and aim... read more 

Generated cultural heritage question-answer dataset: Durga in multi-dimensional perspectives.

Data in brief
This dataset presents a valuable compilation of question-answer (QA) pairs derived from cultural texts and sources related to Durga mythology. A total of 21,395 QA pairs, encompassing textual materials such as scriptures, ritual narratives, temple in... 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 

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 

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 

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