AI Medical Compendium Topic

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

Automation

Showing 171 to 180 of 898 articles

Clear Filters

Exposure to automation explains religious declines.

Proceedings of the National Academy of Sciences of the United States of America
The global decline of religiosity represents one of the most significant societal shifts in recent history. After millennia of near-universal religious identification, the world is experiencing a regionally uneven trend toward secularization. We prop...

Application of Intelligent Medical Sensing Technology.

Biosensors
With the popularization of intelligent sensing and the improvement of modern medical technology, intelligent medical sensing technology has emerged as the times require. This technology combines basic disciplines such as physics, mathematics, and mat...

FocA: A deep learning tool for reliable, near-real-time imaging focus analysis in automated cell assay pipelines.

SLAS discovery : advancing life sciences R & D
The increasing use of automation in cellular assays and cell culture presents significant opportunities to enhance the scale and throughput of imaging assays, but to do so, reliable data quality and consistency are critical. Realizing the full potent...

Ironies of artificial intelligence.

Ergonomics
Bainbridge's was a prescient description of automation related challenges for human performance that have characterised much of the 40 years since its publication. Today a new wave of automation based on artificial intelligence (AI) is being introdu...

Attention-based deep learning framework to recognize diabetes disease from cellular retinal images.

Biochemistry and cell biology = Biochimie et biologie cellulaire
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is high blood sugar, and it affects blood vessels available in the retinal cel...

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.

Sensors (Basel, Switzerland)
Pose estimation is crucial for automating assembly tasks, yet achieving sufficient accuracy for assembly automation remains challenging and part-specific. This paper presents a novel, streamlined approach to pose estimation that facilitates automatio...

Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process.

Sensors (Basel, Switzerland)
In this article, we present a novel approach to tool condition monitoring in the chipboard milling process using machine learning algorithms. The presented study aims to address the challenges of detecting tool wear and predicting tool failure in rea...

Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach.

Anatomical sciences education
An Objective Structured Practical Examination (OSPE) is an effective and robust, but resource-intensive, means of evaluating anatomical knowledge. Since most OSPEs employ short answer or fill-in-the-blank style questions, the format requires many peo...

Emerging technology in agriculture: Opportunities and considerations for occupational safety and health researchers.

Journal of safety research
INTRODUCTION: A variety of factors are driving the development of robotics and automation in the agriculture industry including the nature of work, workforce shortages, and a variety of economic, climatic, technologic, political, and social factors. ...

Exploiting Pre-Trained Convolutional Neural Networks for the Detection of Nutrient Deficiencies in Hydroponic Basil.

Sensors (Basel, Switzerland)
Due to the integration of artificial intelligence with sensors and devices utilized by Internet of Things technology, the interest in automation systems has increased. One of the common features of both agriculture and artificial intelligence is reco...