Artificial Intelligence Medical Compendium

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

Showing 54,211 to 54,220 of 225,930 articles

A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.

Neuroimage. Reports
Acquired Brain Injury (ABI) refers to any post-birth damage to the brain, commonly resulting from traumatic events (traumatic brain injury) or non-traumatic events (such as stroke, brain disease, or infection). In Australia, ABI places a substantial ... read more 

On the inherent robustness of one-stage object detection against out-of-distribution data.

Neural networks : the official journal of the International Neural Network Society
Robustness is a fundamental aspect for developing safe and trustworthy models, particularly when they are deployed in the open world. In this work we analyze the inherent capability of one-stage object detectors to robustly operate in the presence of... read more 

A two-level neurodynamic approach for heterogeneous networked game under event-triggered quantized mechanism.

Neural networks : the official journal of the International Neural Network Society
Game theory provides important theoretical and methodological support for the application expansion of deep learning in complex interaction scenarios, multi-player systems and other aspects. Networked game as a key problem has been investigated in th... read more 

A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.

Neural networks : the official journal of the International Neural Network Society
To solve the repetitive motion problem of redundant robotic manipulators, a punishment neural network-based acceleration-level joint drift-free (PNN-ALJDF) scheme is designed. Traditional joint physical limits constraints are fixed and lack margin. T... read more 

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning.

Biophysical journal
Subcellular localization prediction is crucial for understanding protein functions and cellular processes. Subcellular localization is dependent on tissue and cell lines derived from different cell types. Predicting cell line-specific subcellular loc... read more 

De novo biosynthesis of eriocitrin in Saccharomyces cerevisiae through deep learning-guided enzyme screening and systematic metabolic engineering.

Synthetic and systems biotechnology
Eriocitrin, a flavanone-7-O-disaccharide known for its antioxidant and anti-inflammatory properties, holds considerable promise for use in functional foods and pharmaceuticals. However, its large-scale production is constrained by the limitations of ... read more 

The Role of Complex Digital Interventions to Improve Pneumonia Care.

Clinics in chest medicine
Pneumonia clinical decision support (CDS) has evolved from simple paper-based guidelines to complex electronic systems powered by artificial intelligence. By harmonizing risk stratification, diagnostic testing, antibiotic selection and standardizing ... read more 

Forensic inference in Africa: Evaluating population structure, databases, and regional assignment accuracy.

Forensic science international. Genetics
This study reports novel 21 aSTR (autosomal Short Tandem Repeats) allele frequencies from 538 individuals, as well as 11 triallelic profiles, representing seven Bantu-speaking groups in Southern Africa (Ndebele, Pedi, Phuthi, Tsonga, Sotho, Swati, an... read more 

Recent advances in wearable biophysical sensors for continuous muscle monitoring.

Biosensors & bioelectronics
Continuous muscle monitoring is paramount for revealing the dynamics of neuromuscular behaviors including fatigue kinetics, muscle recruitment, coordination strategies, and movement adaptations. This capability is fundamental for advancing neurorehab... read more 

MYB: A potential therapeutic target in triple-negative breast cancer based on the PI3K/AKT signaling pathway.

Computational biology and chemistry
BACKGROUND: Compared to non-triple-negative breast cancer (Non-TNBC), triple-negative breast cancer (TNBC) exhibits significantly poorer prognosis. Previous research has confirmed that the PI3K/AKT pathway is closely associated with prognosis in brea... read more