AIMC Topic: Artificial Intelligence

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Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia.

Journal of UOEH
This mini review explores the transformative potential of big data analysis and artificial intelligence (AI) in reforming occupational medicine in Indonesia. Emphasizing the preconditions, case studies, and benefits, it underscores the role of big da...

Deep Learning of Cancer Stem Cell Morphology.

Methods in molecular biology (Clifton, N.J.)
Knowledge regarding cancer stem cell (CSC) morphology is limited, and more extensive studies are therefore required. Image recognition technologies using artificial intelligence (AI) require no previous expertise in image annotation. Herein, we descr...

Fractal Geometry Meets Computational Intelligence: Future Perspectives.

Advances in neurobiology
Characterizations in terms of fractals are typically employed for systems with complex and multiscale descriptions. A prominent example of such systems is provided by the human brain, which can be idealized as a complex dynamical system made of many ...

Computational and Translational Fractal-Based Analysis in the Translational Neurosciences: An Overview.

Advances in neurobiology
After the previous sections on "Fractals: What and Why?," the last section of this book covers the software tools necessary to perform computational fractal-based analysis, with special emphasis on its applications into the neurosciences. The use of ...

Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method.

The Journal of toxicological sciences
Mitochondrial toxicity has been implicated in the development of various toxicities, including hepatotoxicity. Therefore, mitochondrial toxicity has become a major screening factor in the early discovery phase of drug development. Several models have...

[Research progress of artificial intelligence technology in early diagnosis of sepsis].

Zhonghua wei zhong bing ji jiu yi xue
Sepsis is caused by infection, which can ultimately lead to multiple organ dysfunction and even life-threatening. Early recognition and early treatment can significantly improve the prognosis of sepsis patients. However, the effect of using a single ...

A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Journal of X-ray science and technology
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.

Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ranging from general well-being to critical health issues. In the realm of health diagnostics, an often overlooked but critical aspect is the consider...

Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxygen carrying capability being insufficient are two ways to describe anaemia. This disorder has an impact on the quality of life. If anaemia is detected ...