Artificial Intelligence Medical Compendium

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

Showing 51,271 to 51,280 of 225,182 articles

Effect of caudal fin shape on swimming performance of a flying fish robot.

Bioinspiration & biomimetics
The advancement of robotic fish necessitates examination of whether caudal fins should be specifically designed for individual body shapes or if generic, isometric fins can function effectively across multiple species. Addressing this knowledge gap i... read more 

Large Language Model-Assisted Additive Selection for Synergistic Defect and Crystallization Control in Efficient Inverted Perovskite Solar Cells.

ChemSusChem
Precursor additives are crucial for enhancing the efficiency and stability of perovskite solar cells. However, their traditional selection of additives primarily relies on empirical trial-and-error approaches, which are time-consuming and inefficient... read more 

Electrocatalysis Informatics Driven Design of Formic Acid-Producing Alloy Catalysts for CO2 Electroreduction.

Chemphyschem : a European journal of chemical physics and physical chemistry
Machine learning (ML)-enabled high-throughput screening to predict potential electrocatalysts for the CO2 reduction reaction (CO2RR) offers new insights for energy conversion and environmental remediation. In this work, for the first time, we establi... read more 

Reinforcement learning-guided segment anything model for MRI prostate and dominant intraprostatic lesions auto-segmentation.

Physics in medicine and biology
Objective. Accurate segmentation of the prostate and dominant intraprostatic lesions (DILs) on magnetic resonance imaging (MRI) is important for prostate cancer radiation therapy treatment planning and targeted dose escalation. However, DIL segmentat... read more 

[Application of a novel robot-assisted navigation system in CT-guided percutaneous lung biopsy].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Objective: To compare the clinical efficacy and safety of robot-assisted navigation systems with those of the conventional puncture localization method in CT-guided percutaneous lung biopsy. Methods: We retrospectively collected clinical data from 14... read more 

Accelerated green analysis of Phyllanthi Fructus by one dimensional convolutional neural network (1D CNN) modeling of time-contracted HPLC fingerprints.

Analytical methods : advancing methods and applications
To address the lengthy analytical cycles and high solvent consumption of conventional HPLC, this study focused on Phyllanthi Fructus (PF) and, by optimizing gradient elution conditions, established a time contracted chromatographic fingerprint. Combi... read more 

AI-enhanced culturally tailored intervention for Latino family caregivers of persons living with dementia: a feasibility study.

The Gerontologist
BACKGROUND AND OBJECTIVES: CONFIDENCE is a culturally tailored intervention to reduce caregiver financial strain, which disproportionately impacts Latino family caregivers to persons living with dementia. CONFIDENCE demonstrated preliminary efficacy ... read more 

Equitable speech technologies for older adults: a call to prioritize low resource languages.

The Gerontologist
Recent advancements in artificial intelligence, particularly in speech technologies, hold significant potential for improving the health and well-being of older adults by offering noninvasive, accessible, and scalable solutions to increase social eng... read more 

Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning

arXiv
Back pain is a pervasive issue affecting a significant portion of the population, often worsened by certain movements of the lower back. Assessing these movements is important for helping clinicians prescribe appropriate physical therapy. However, it... read more 

A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness

arXiv
Semantic Change Detection (SCD) aims to detect and categorize land-cover changes from bi-temporal remote sensing images. Existing methods often suffer from blurred boundaries and inadequate temporal modeling, limiting segmentation accuracy. To addres... read more