AIMC Topic: Algorithms

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Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT.

Diagnostic and interventional imaging Sep 14, 2024
PURPOSE: The purpose of this study was to develop a radiomics-based algorithm to identify small pancreatic neuroendocrine tumors (PanNETs) on CT and evaluate its robustness across manual and automated segmentations, exploring the feasibility of autom...
Humans Machine Learning Algorithms Radiomics Male Middle Aged Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Neuroendocrine Tumors Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity
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Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Sep 14, 2024
OBJECTIVE: Machine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients.
Female Aged Adult Male Humans Machine Learning Algorithms Middle Aged Cohort Studies Head and Neck Neoplasms
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Machine learning predicts acute respiratory failure in pancreatitis patients: A retrospective study.

International journal of medical informatics Sep 14, 2024
PURPOSE: The purpose of the research is to design an algorithm to predict the occurrence of acute respiratory failure (ARF) in patients with acute pancreatitis (AP).
Acute Disease Bayes Theorem Respiratory Insufficiency Pancreatitis Middle Aged ROC Curve Logistic Models Female Humans Aged Adult Machine Learning Male Algorithms Retrospective Studies
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ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2024
This paper investigates the consensus control issue for nonlinear multiagent systems (MASs) subject to irregular state constraints and actuator faults using an adaptive dynamic programming (ADP) algorithm. Unlike the regular state constraints conside...
Neural Networks, Computer Algorithms Computer Simulation Consensus Nonlinear Dynamics
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Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process.

Journal of environmental management Sep 14, 2024
UV/sulfite-based advanced reduction processes (ARP) have attracted increasing attention due to their high capability for removing a wide range of pollutants. Therefore, developing UV/sulfite ARP systems with assisted Artificial Intelligence (AI) mode...
Sulfites Phenols Ultraviolet Rays Tetracycline Water Purification Anti-Bacterial Agents Water Pollutants, Chemical Artificial Intelligence Algorithms
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Image Processing for Smart Agriculture Applications Using Cloud-Fog Computing.

Sensors (Basel, Switzerland) Sep 14, 2024
The widespread use of IoT devices has led to the generation of a huge amount of data and driven the need for analytical solutions in many areas of human activities, such as the field of smart agriculture. Continuous monitoring of crop growth stages e...
Image Processing, Computer-Assisted Agriculture Crops, Agricultural Cloud Computing Humans Neural Networks, Computer Algorithms Deep Learning
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Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Scientific reports Sep 14, 2024
Manual identification of tomato leaf diseases is a time-consuming and laborious process that may lead to inaccurate results without professional assistance. Therefore, an automated, early, and precise leaf disease recognition system is essential for ...
Plant Diseases Neural Networks, Computer Machine Learning Algorithms Deep Learning Support Vector Machine Plant Leaves Bayes Theorem Solanum lycopersicum
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Artificial Intelligence Algorithm Can Predict Lymph Node Malignancy from Endobronchial Ultrasound Transbronchial Needle Aspiration Images for Non-Small Cell Lung Cancer.

Respiration; international review of thoracic diseases Sep 14, 2024
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer staging is operator dependent, resulting in high rates of non-diagnostic lymph node (LN) samples. We hypothesized that an artificial intelligence (AI)...
Middle Aged Algorithms Lymphatic Metastasis Lung Neoplasms Female Predictive Value of Tests Lymph Nodes Humans Aged Neoplasm Staging Neural Networks, Computer Male Carcinoma, Non-Small-Cell Lung Endoscopic Ultrasound-Guided Fine Needle Aspiration Artificial Intelligence
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Multimodal convolutional neural network-based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video).

Gastrointestinal endoscopy Sep 13, 2024
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for ...
Convolutional Neural Networks ROC Curve Diagnosis, Differential Endoscopy, Digestive System Constriction, Pathologic Video Recording Male Biliary Tract Neoplasms Bile Duct Neoplasms Middle Aged Cholestasis Algorithms Humans Proof of Concept Study Diagnosis, Computer-Assisted Cholangitis Female Neural Networks, Computer Cholangiocarcinoma Deep Learning Aged Sensitivity and Specificity
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Accelerated CEST imaging through deep learning quantification from reduced frequency offsets.

Magnetic resonance in medicine Sep 13, 2024
PURPOSE: To shorten CEST acquisition time by leveraging Z-spectrum undersampling combined with deep learning for CEST map construction from undersampled Z-spectra.
Algorithms Prospective Studies Brain Retrospective Studies Humans Glioblastoma Signal-To-Noise Ratio Male Deep Learning Image Processing, Computer-Assisted Female Magnetic Resonance Imaging Adult Brain Neoplasms
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