AIMC Topic: Humans

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Electric Shovel Teeth Missing Detection Method Based on Deep Learning.

Computational intelligence and neuroscience
Electric shovels are widely used in the mining industry to dig ore, and the teeth in shovels' bucket can be lost due to the tremendous pressure exerted by ore materials during operation. When the teeth fall off and enter the crusher with other ore ma...

Research on the Interaction of Genetic Algorithm in Assisted Composition.

Computational intelligence and neuroscience
Computer-aided composition is an attempt to use a formalized process to minimize human (or composer) involvement in the creation of music using a computer. Exploring the problem of computer-aided composition can enable us to understand and simulate t...

Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.

PloS one
The COVID-19 pandemic continues to impact people worldwide-steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research in...

Executive summary of the artificial intelligence in surgery series.

Surgery
As opportunities for artificial intelligence to augment surgical care expand, the accompanying surge in published literature has generated both substantial enthusiasm and grave concern regarding the safety and efficacy of artificial intelligence in s...

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.

Computers in biology and medicine
BACKGROUND: Alzheimer's disease is a chronic neurodegenerative disease that destroys brain cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are not yet fully understood, and there is no curative treatment. Howe...

Single Port vs Multiport Robotic Pyeloplasty: Propensity-Score Matched Analysis of Perioperative and Follow-Up Outcomes.

Urology
OBJECTIVES: To compare the perioperative and postoperative outcomes of single port (SP) robotic pyeloplasty and multiport (MP) robotic pyeloplasty using a propensity-score matched analysis.

Explainable artificial intelligence in forensics: Realistic explanations for number of contributor predictions of DNA profiles.

Forensic science international. Genetics
Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles. However, the models used so far are not understandable to users as they only output a prediction without any rea...

Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning.

Journal of microbiological methods
Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans. There are many similarities between L. monocytogenes and other non-pathogenic Listeria specie...

A novel complementation method of an acoustic shadow region utilizing a convolutional neural network for ultrasound-guided therapy.

International journal of computer assisted radiology and surgery
PURPOSE: Noise-free ultrasound images are essential for organ monitoring during regional ultrasound-guided therapy. When the affected area is located under the ribs, however, acoustic shadow is caused by the reflection of sound from hard tissues such...

Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.

Epilepsy research
PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evaluation of MRIs-to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily asse...