Artificial Intelligence Medical Compendium

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

Showing 1,701 to 1,710 of 165,003 articles

A prediction model for genetic cholestatic disease in infancy using the machine learning approach.

Journal of pediatric gastroenterology and nutrition
OBJECTIVES: Cholestasis in infancy poses a complex clinical conundrum for pediatric hepatologists, warranting timely diagnosis, especially for genetic diseases. This study aims to create machine learning (ML)-based prediction models, referred to as J... read more 

Hydra-Bench: A Benchmark for Multi-Modal Leaf Wetness Sensing

arXiv
Leaf wetness detection is a crucial task in agricultural monitoring, as it directly impacts the prediction and protection of plant diseases. However, existing sensing systems suffer from limitations in robustness, accuracy, and environmental resili... read more 

Image Denoising Using Green Channel Prior.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Image denoising is an appealing and challenging task, in that noise statistics of real-world observations may vary with local image contents and different image channels. Specifically, the green channel usually has twice the sampling rate in raw data... read more 

CellMet: Extracting 3D shape and topology metrics from confluent cells within tissues.

PLoS computational biology
During development and tissue repair, cells reshape and reconfigure to ensure organs take specific shapes. This process is inherently three-dimensional (3D). Yet, in part due to limitations in imaging and data analysis, cell shape analysis within tis... read more 

Affordable Automated Modules for Lab-Scale High-Throughput Synthesis of Inorganic Materials.

Chemistry (Weinheim an der Bergstrasse, Germany)
The development of sustainable advanced materials is increasingly driven by the need for sustainable, faster, scalable, and more efficient research workflows. Advancements in computational screening, high-throughput experimentation, and artificial in... read more 

Medical robots learn to be autonomous.

Science robotics
Numerous challenges in medicine could be addressed by harnessing autonomy and artificial intelligence in medical robots. read more 

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning

arXiv
The tension between data privacy and model utility has become the defining bottleneck for the practical deployment of large language models (LLMs) trained on sensitive corpora including healthcare. Differentially private stochastic gradient descent... read more 

Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework

arXiv
Video signals are vulnerable in multimedia communication and storage systems, as even slight bitstream-domain corruption can lead to significant pixel-domain degradation. To recover faithful spatio-temporal content from corrupted inputs, bitstream-... read more 

Systematic data management for effective AI-driven decision support systems in robotic rehabilitation.

Scientific reports
Robotic rehabilitation is becoming a standard in post-stroke physical rehabilitation, and these setups, often coupled with virtual exercises, collect a large and finely grained amount of data about patients' motor performance, in terms of kinematics ... read more