Artificial Intelligence Medical Compendium

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

Showing 48,381 to 48,390 of 224,199 articles

Engineered Living Systems With Self-Organizing Neural Networks: From Anatomy to Behavior and Gene Expression.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
A great deal is known about the formation and architecture of biological neural networks in animal models, which have arrived at their current structure-function relationship through evolution by natural selection. Little is known about the developme... read more 

A Wearable Brain-Computer Interface for Mitigating Car Sickness via Attention Shifting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, ... read more 

From AI discovery to macroscopic formula: a quasi-stability criterion for quantum dots inspired by Elon Musk's vision.

Nanoscale
With rapid advancement of artificial intelligence (AI), particularly the vision articulated by Elon Musk that AI can "discover new physics" and derive novel scientific theories from first principles, presenting an unprecedented opportunity for a para... read more 

Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.

The Journal of pathology
Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)-stained routine whole-slide images (WSIs). Unlike traditional studies that rely on... read more 

Blood pressure estimation using single photoplethysmography signal based on ResNet-BiGRU.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Conventional cuff-based blood pressure (BP) measurement provides only intermittent readings, whereas photoplethysmography (PPG)-based methods enable continuous and noninvasive monitoring. This study aims to develop a deep learning framewo... read more 

AI in epilepsy neuroimaging.

Current opinion in neurology
PURPOSE OF REVIEW: Recent advances in the capabilities and usability of artificial intelligence (AI) architectures coupled with increased availability of neuroimaging datasets has fuelled a rapid expansion in AI applications to epilepsy neuroimaging.... read more 

Single-cell transcriptomic analysis and machine learning identify ATAD3A as a key gene that stabilizes mitochondrial-endoplasmic reticulum membranes, promoting bladder cancer progression.

Journal of translational medicine
BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory role in cancer, yet their function in bladder cancer (BCa) remains unclear. METHODS: This study conducted a comprehensive analysis of extensive RNA s... read more 

Mosquito-inspired active tactile perception for indoor navigation and escape of a rigid-soft coupling blimp robot.

Bioinspiration & biomimetics
For autonomous navigation in indoor environments, aerial robots mostly take cameras, LiDAR, ultrasonic ranging sensors, and other devices for collision avoidance, rarely using tactile sensors. However, cameras are susceptible to lighting conditions, ... read more 

Hierarchical Distribution of Reward Representation in the Cortical and Hippocampal Regions.

eNeuro
Dopaminergic inputs to various brain regions, such as the striatum, orbitofrontal cortex, and amygdala, play a critical role in processing reward acquisition information. While reward-related activity is also observed more broadly in motor, parietal,... read more