AIMC Topic: Machine Learning

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A multi-spectral myelin annotation tool for machine learning based myelin quantification.

F1000Research
Myelin is an essential component of the nervous system and myelin damage causes demyelination diseases. Myelin is a sheet of oligodendrocyte membrane wrapped around the neuronal axon. In the fluorescent images, experts manually identify myelin by co-...

Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review.

Journal of the World federation of orthodontists
BACKGROUND: Bone age assessment, as an indicator of biological age, is widely used in orthodontics and pediatric endocrinology. Owing to significant subject variations in the manual method of assessment, artificial intelligence (AI), machine learning...

Machine learning and artificial intelligence in neuroscience: A primer for researchers.

Brain, behavior, and immunity
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we would attribute intelligence to. Machine learning (ML) is commonly understood as a set of methods used to develop an AI. Both have seen a recent boom in us...

The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models.

Scientific reports
Satellite remote sensing is widely being used by the researchers and geospatial scientists due to its free data access for land observation and agricultural activities monitoring. The world is suffering from food shortages due to the dramatic increas...

Analysis of land use and land cover change using machine learning algorithm in Yola North Local Government Area of Adamawa State, Nigeria.

Environmental monitoring and assessment
The dynamic use of land that results from urbanization has an impact on the urban ecosystem. Yola North Local Government Area (Yola North LGA) of Adamawa state, Nigeria, has experienced tremendous changes in its land use and land cover (LULC) over th...

Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology.

Clinical pharmacology and therapeutics
The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to the dawning of a new era. Previously dismissed as merely technological hype, these approaches have emerged as promising tools in different domains, in...

Predicting multiple conformations via sequence clustering and AlphaFold2.

Nature
AlphaFold2 (ref. ) has revolutionized structural biology by accurately predicting single structures of proteins. However, a protein's biological function often depends on multiple conformational substates, and disease-causing point mutations often ca...

AI Hyperrealism: Why AI Faces Are Perceived as More Real Than Human Ones.

Psychological science
Recent evidence shows that AI-generated faces are now indistinguishable from human faces. However, algorithms are trained disproportionately on White faces, and thus White AI faces may appear especially realistic. In Experiment 1 ( = 124 adults), alo...

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review.

BMC medical research methodology
BACKGROUND: Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored. ML models are capable of...