Artificial Intelligence Medical Compendium

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

Showing 29,281 to 29,290 of 219,647 articles

A motor thalamic site in humans that suppresses involuntary breathing without awareness.

Journal of neurophysiology
Breathing is generated by brainstem respiratory networks but can be controlled and modulated by forebrain activity. The recent clinical adoption of thalamic electrode implantation during intracranial electroencephalography (iEEG) provides a rare oppo... read more 

Self-Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi-b Prostate Diffusion MRI.

Magnetic resonance in medicine
PURPOSE: Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi-b DW images with simultaneous signal modeling. METHODS: Prostate diffusion images from 46 individuals acquired at 2... read more 

Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

The American surgeon
BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and surgical examinations; however, their capacity to accurately interpret and apply subspecialty clinical practice guidelines remains incompletely charact... read more 

Advancing precision medicine in pancreatic cancer using novel biomarkers and clinical targets.

Molecular aspects of medicine
Precision-guided therapy is imperative in the battle against pancreatic ductal adenocarcinoma (PDAC), one of the most lethal solid malignancies with limited improvements in survival despite advances in molecular profiling and systemic therapy. While ... read more 

GRaph-based analysis for stroke prediction (GRASP): A multi-modal model for identifying first ischemic stroke in high-risk population using UK biobank.

Computers in biology and medicine
BACKGROUND: Ischemic stroke accounts for 3.71 million deaths annually worldwide. Yet current risk prediction models demonstrate modest discrimination with reported C-statistics typically ranging from 0.63 to 0.75 and cannot reliably identify which in... read more 

AI-based plastic waste classification for sorting purposes: A review on recent progresses and challenges.

Waste management (New York, N.Y.)
The rapid growth of plastic waste has heightened environmental concerns and created a pressing need for efficient classification for sorting purposes and recycling accordingly. In recent years, Artificial Intelligence (AI) based identification and cl... read more 

Creativity in the age of AI: Exploring moderated mediation relationships between AI use, AI dependence, and academic support in higher education.

Acta psychologica
Artificial intelligence is increasingly being adopted in higher education. However, its usage has created new possibilities and challenges. It has transformed the way students acquire and apply knowledge. Although AI usage improves efficiency, concer... read more 

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

Journal of diabetes and its complications
BACKGROUND: Vascular complications of Type 2 diabetes (T2D) significantly contribute to its morbidity and mortality. Identifying robust biomarkers is critical for improving risk prediction, understanding disease mechanisms, and guiding targeted thera... read more 

Copper stress responses in Scenedesmus obliquus-Bacillus subtilis Consortia: Machine Learning-Based prediction of copper removal.

Bioresource technology
Copper pollution in wastewater is an environmental issue that requires efficient and sustainable waste treatment methods. To improve the efficiency of traditional microalgal treatment of heavy metals and enable predictive assessment of treatment outc... read more 

Cuproptosis-related circulating non-coding RNAs as diagnostic and prognostic biomarkers in oncology.

Clinica chimica acta; international journal of clinical chemistry
Cuproptosis is a recently described copper-dependent form of regulated cell death linked to mitochondrial metabolic stress and is emerging as a biologically relevant pathway in cancer. Circulating noncoding RNAs (ncRNAs), such as microRNAs, long nonc... read more