AIMC Topic: Artificial Intelligence

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Artificial intelligence and machine learning trends in kidney care.

The American journal of the medical sciences
BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) in kidney care has seen a significant rise in recent years. This study specifically analyzed AI and ML research publications related to kidney care to identify lead...

Development of Artificial Intelligence Image Classification Models for Determination of Umbilical Cord Vascular Anomalies.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVE: The goal of this work was to develop robust techniques for the processing and identification of SUA using artificial intelligence (AI) image classification models.

Can generative AI infer thinking style from language? Evaluating the utility of AI as a psychological text analysis tool.

Behavior research methods
Generative AI, short for Generative Artificial Intelligence, a class of artificial intelligence systems, is not currently the choice technology for text analysis, but prior work suggests it may have some utility to assess dynamics like emotion. The c...

ACPScanner: Prediction of Anticancer Peptides by Integrated Machine Learning Methodologies.

Journal of chemical information and modeling
Novel therapeutic alternatives for cancer treatment are increasingly attracting global research attention. Although chemotherapy remains a primary clinical solution, it often results in significant side effects for patients. In recent years, anticanc...

>Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China.

Environmental science and pollution research international
Accurate prediction of water quality contributes to the intelligent management of water resources. Water quality indices have time series characteristics and nonlinearity, but the existing models only focus on the forward time series when long short-...

NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites.

IEEE transactions on biomedical circuits and systems
Biologically plausible learning with neuronal dendrites is a promising perspective to improve the spike-driven learning capability by introducing dendritic processing as an additional hyperparameter. Neuromorphic computing is an effective and essenti...

Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.

Experimental biology and medicine (Maywood, N.J.)
This study aims to construct and evaluate a deep learning model, utilizing ultrasound images, to accurately differentiate benign and malignant thyroid nodules. The objective includes visualizing the model's process for interpretability and comparing ...

Artificial Intelligence in Medicine: A Caution About Good Intentions and Where It May Lead.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Implementing Artificial Intelligence in medicine is revolutionizing how medicine is practiced. It has much promise in bringing about improved clinical outcomes and efficiency while decreasing costs. There are also concerns and unintended consequences...