Artificial Intelligence Medical Compendium

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

Showing 6,851 to 6,860 of 205,891 articles

Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning.

Disability and rehabilitation. Assistive technology
PURPOSE: This study proposes an early-stage, non-invasive assistive framework as a proof-of-concept for American Sign Language recognition (ASLR) using radio-frequency (RF) sensing and time-series deep learning (DL) techniques. The framework aims to ... read more 

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Renal failure
Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection. Sepsis can induce cellular senescence, thereby exacerbating tissue damage and organ dysfunction. However, the key biomarkers of cellular senescence a... read more 

Dynamic task offloading for sports training monitoring in MEC-assisted smart wearable device systems.

Scientific reports
With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, smart wearable devices (SWDs) are regarded as a promising approach for sports training monitoring. However, such monitoring generates a large number of co... read more 

HAMNet: Hierarchical Multi-scale Attention Network for precise disease detection in pearl millet using spatial fusion.

Scientific reports
Pearl millet is a vital crop in arid and semi-arid regions, but its productivity is significantly impacted by fungal and bacterial diseases. Traditional disease detection methods, including manual inspection and conventional machine learning techniqu... read more 

Undergraduate medical students and artificial intelligence: A global systematic review and meta-analysis using a knowledge-attitude-practice framework.

Medical teacher
BACKGROUND: Artificial intelligence (AI), including deep learning and large language models, is increasingly reshaping healthcare and medical education. Since the public release of generative AI tools such as ChatGPT, medical students have become a p... read more 

A Deep Learning-Based 3D Ultrasound Analysis for Standard Sagittal Plane Identification: Technical and Clinical Considerations.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
This study presents a novel three-zone fibers-based sequencing batch biofilm reactor designed to achieve simultaneous nitrification, denitrification, and phosphorus removal for the treatment of high-strength sewage. Online process control sensors con... read more 

σ-p Hyperconjugation-Enabled Covalent Organic Frameworks for Programmable Cascaded Optical Modulation.

Advanced materials (Deerfield Beach, Fla.)
σ-p hyperconjugation is identified as an effective molecular lever for regulating the excited-state behavior and donor characteristics of covalent organic frameworks (COFs). Activation of σ-p hyperconjugation amplifies the fluorescence quantum yield ... read more 

Molecular Engineering of the Nano-Bio Interface for Programmable and Precision Protein Delivery.

Advanced materials (Deerfield Beach, Fla.)
Protein therapeutics offer unparalleled specificity and immediate bioactivity for addressing complex pathologies; however, their vast therapeutic potential is fundamentally constrained by intrinsic structural vulnerability and the formidable barrier ... read more 

Deep Learning Assisted Motion Behavior Analysis of Catalytic Micromotors Based on Trajectory and Optical Flow.

Nano letters
Investigating micro/nanomotors' (MNMs') motion behavior is crucial for their practical applications and fundamental understanding of propulsion mechanisms. However, existing methods focus exclusively on a single-drive system and lack discriminative c... read more