Artificial Intelligence Medical Compendium

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

Showing 34,031 to 34,040 of 221,510 articles

Textureless Surface Feature Point Detection via Micro-Geometry Reconstruction.

IEEE transactions on pattern analysis and machine intelligence
Feature point detection on textureless surfaces remains a fundamental challenge in computer vision due to the absence of discernible color and brightness gradients. From the imaging mechanism perspective, micro-geometry structures of textureless surf... read more 

Hybrid Convolution Reparameterization for Efficient Deep Learning-Based Nonprecipitation Echo Recognition and Removal.

IEEE transactions on neural networks and learning systems
Weather radar reflectivity images play a critical role in reliable weather monitoring and forecasting. However, inherent factors such as ground clutter, sea clutter, and electromagnetic interference frequently introduce nonprecipitation echoes (NPEs)... read more 

EMM-Det: Energy-Efficient Multidrone Tiny Object Detection by Memory-Enhanced Spiking Neural Networks.

IEEE transactions on neural networks and learning systems
Unmanned aerial vehicles (UAVs) play a vital role in scenarios such as community safety patrol and disaster search-and-rescue operations due to their maneuverability and deployment flexibility. However, their limited payload capacity, energy constrai... read more 

Event-Based Adaptive Consensus Control of Multiple Flexible Manipulator Systems With Input-Output Constraints.

IEEE transactions on neural networks and learning systems
The article investigates the vibration suppression and bipartite consensus control of networked flexible manipulators with input-output constraints. Neural networks (NNs) are utilized to address system uncertainties. The disturbance-like terms genera... read more 

Intraoperative Transesophageal Echocardiography in Cardiac Surgery: Clinical Applications, Decision-Making, and Impact on Outcomes.

Cardiology in review
Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution assessment of cardiac anatomy and physiology throughout the perioperative period. Beyond its tradit... read more 

Toward Enhancing RMSProp With Forward-Looking Gradient Updates for Complex Loss Landscapes.

Neural computation
This letter introduces a novel algorithm for training deep neural networks with many nonlinear layers. Our method uses an approximated integrated gradient that is averaged over the range of the weight update to more accurately capture the loss change... read more 

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-GuĂ©rin (BCG) failure and a high risk of progression, yet current models inadequately guide treatment sel... read more 

How Well Can AI and Physics-Based Simulations Predict the Probability a Cryptic Pocket Is Open?

Journal of chemical theory and computation
Identifying and understanding cryptic pockets remains a compelling goal in drug discovery, as they can offer new avenues for targeting proteins that are otherwise challenging to modulate. While artificial intelligence (AI) methods for structure predi... read more 

Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study.

JMIR formative research
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care is often limited by cost, availability of clinicians, scheduling, and transportation barriers. Inte... read more 

Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study.

Journal of medical Internet research
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural stigma, and fragmented screening systems. Artificial intelligence (AI)-powered screening tools may ... read more