AIMC Topic: Artificial Intelligence

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Suicidal behaviour prediction models using machine learning techniques: A systematic review.

Artificial intelligence in medicine
BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence, there is increasing research into how machine learning can assist in the...

Digital Stereotypes in HMI-The Influence of Feature Quantity Distribution in Deep Learning Models Training.

Sensors (Basel, Switzerland)
This paper proposes a concept of Digital Stereotypes, observed during research on quantitative overrepresentation of one class over others, and its impact on the results of the training of Deep Learning models. The real-life observed data classes are...

Application of CO Supercritical Fluid to Optimize the Solubility of Oxaprozin: Development of Novel Machine Learning Predictive Models.

Molecules (Basel, Switzerland)
Over the last years, extensive motivation has emerged towards the application of supercritical carbon dioxide (SCCO) for particle engineering. SCCO has great potential for application as a green and eco-friendly technique to reach small crystalline p...

Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.

Journal of translational medicine
BACKGROUND: With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve...

Relationship between Liquid-Based Cytology Preservative Solutions and Artificial Intelligence: Liquid-Based Cytology Specimen Cell Detection Using YOLOv5 Deep Convolutional Neural Network.

Acta cytologica
INTRODUCTION: Deep learning is a subset of machine learning that has contributed to significant changes in feature extraction and image classification and is being actively researched and developed in the field of cytopathology. Liquid-based cytology...

Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Ovarian carcinoma has the highest mortality of all female reproductive cancers and current treatment has become histotype-specific. Pathologists diagnose five common histotypes by microscopic examination, however, histotype determination is not strai...

Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.

Journal of integrative bioinformatics
The implementation of Artificial Intelligence (AI) still faces significant hurdles and one key factor is the access to data. One approach that could support that is federated machine learning (FL) since it allows for privacy preserving data access. F...

Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence.

Korean journal of radiology
Immunotherapy has revolutionized and opened a new paradigm for cancer treatment. In the era of immunotherapy and molecular targeted therapy, precision medicine has gained emphasis, and an early response assessment is a key element of this approach. T...