AIMC Topic: Artificial Intelligence

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How to use AI in pathology.

Genes, chromosomes & cancer
AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still ...

Biomass-Derived Carbon Electrodes for High-Performance Supercapacitors.

ChemSusChem
Supercapacitors with the performance advantages of high-power density are emerging materials for energy storage/conversion systems that can combat climate change caused by CO emissions and are of importance with the development of electronic products...

WARNING: A Wearable Inertial-Based Sensor Integrated with a Support Vector Machine Algorithm for the Identification of Faults during Race Walking.

Sensors (Basel, Switzerland)
Due to subjectivity in refereeing, the results of race walking are often questioned. To overcome this limitation, artificial-intelligence-based technologies have demonstrated their potential. The paper aims at presenting WARNING, an inertial-based we...

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications.

Sensors (Basel, Switzerland)
AI techniques have recently been put under the spotlight for analyzing electrocardiograms (ECGs). However, the performance of AI-based models relies on the accumulation of large-scale labeled datasets, which is challenging. To increase the performanc...

Indoor Visible Light Positioning System Based on Point Classification Using Artificial Intelligence Algorithms.

Sensors (Basel, Switzerland)
In RSSI-based indoor visible light positioning systems, when only RSSI is used for trilateral positioning, the receiver height needs to be known to calculate distance. Meanwhile, the positioning accuracy is greatly affected by multi-path effect inter...

Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.

International journal of environmental research and public health
This comprehensive review examines critical aspects of evidence-based human kinetics, focusing on bridging the gap between scientific evidence and practical implementation. To bridge this gap, the development of tailored education and training progra...

Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms.

BMC medical research methodology
OBJECTIVE: PONV reduces patient satisfaction and increases hospital costs as patients remain in the hospital for longer durations. In this study, we build a preliminary artificial intelligence algorithm model to predict early PONV in patients.

Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora's Box Has Been Opened.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has advanced substantially in recent years, transforming many industries and improving the way people live and work. In scientific research, AI can enhance the quality and efficiency of data analysis and publi...