AIMC Topic: Algorithms

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Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation.

Korean journal of radiology
OBJECTIVE: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction met...

Time-varying modeling and intelligent compensation control of singletendon-sheath structure of surgical robot.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear friction during surgery seriously hinders its development in the field of precision surgical robots. To this end, this paper proposes a time-varying bending angl...

Securing Multimedia Using a Deep Learning Based Chaotic Logistic Map.

IEEE journal of biomedical and health informatics
Telemedicine and online consultations with doctors has become very popular during the pandemic and involves the transmission of medical data through the internet. Thus this raises concern about the security of the medical data of the patient as the r...

Artificial Intelligence Screening of Medical School Applications: Development and Validation of a Machine-Learning Algorithm.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: To explore whether a machine-learning algorithm could accurately perform the initial screening of medical school applications.

Comparison of diagnostic performance of a deep learning algorithm, emergency physicians, junior radiologists and senior radiologists in the detection of appendicular fractures in children.

Pediatric radiology
BACKGROUND: Advances have been made in the use of artificial intelligence (AI) in the field of diagnostic imaging, particularly in the detection of fractures on conventional radiographs. Studies looking at the detection of fractures in the pediatric ...

Global synchronization of complex-valued neural networks with unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society
This paper investigates global synchronization of complex-valued neural networks (CVNNs) with unbounded time-varying delays. By applying analytical method and inequality techniques, an algebraic criterion is established to ensure global synchronizati...

Social copying drives a tipping point for nonlinear population collapse.

Proceedings of the National Academy of Sciences of the United States of America
Sudden changes in populations are ubiquitous in ecological systems, especially under perturbations. The agents of global change may increase the frequency and severity of anthropogenic perturbations, but complex populations' responses hamper our unde...

Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care.

World journal of emergency surgery : WJES
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can be trained based on datasets to make predictions. The increasing sophistication of AI has created new opportunities to apply these algorithms within ...

Research on Supply Chain Financial Risk Prevention Based on Machine Learning.

Computational intelligence and neuroscience
Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive force for the evolution of financial technology. As a subdivision of artificial intelligence research, machine learning (ML) algorithm is extensively u...