Ara
Toplam kayıt 9, listelenen: 1-9
Application of machine learning and medical imaging in the detection of COVID-19 patients: A review article
(Wolters Kluwer Medknow Publications, 2022)
In the present study, a particular technique of artificial intelligence (AI) is applied for diagnosis and classifying medical images of patients with coronavirus disease (COVID-19). Chest radiography and laboratory-based ...
Differentiating gastrointestinal stromal tumors from leiomyomas using a neural network trained on endoscopic ultrasonography images
(Karger, 2022)
Background: Endoscopic ultrasonography (EUS) is crucial to diagnose and evaluate gastrointestinal mesenchymal tumors (GIMTs). However, EUS-guided biopsy does not always differentiate gastrointestinal stromal tumors (GISTs) ...
An early warning system using machine learning for the detection of intracranial hematomas in the emergency trauma setting
(Turkish Neurosurgical Society, 2022)
AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting. MATERIAL and METHODS: A total of ...
From ultrasound to artificial intelligence: a new era of the regional anesthesia
(NLM (Medline), 2022)
Regional anesthesia has become popular in daily anesthesia practice in recent years.1, 2 The use of US-guided regional anesthesia (URA) has increased thanks to the advantages of the US rapidly, such as direct visualization ...
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: The PANDA challenge
(Nature Research, 2022)
Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital ...
Detecting prosthetic restorations using artificial intelligence on panoramic radiographs
(Hindawi Limited, 2022)
Aim. This study applied a CNN (convolutional neural network) algorithm to detect prosthetic restorations on panoramic radiographs and to automatically detect these restorations using deep learning systems. Materials and ...
Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier
(Nature Portfolio, 2022)
We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced ...
Use of artificial intelligence in the prediction of malignant potential of gastric gastrointestinal stromal tumors
(Springer, 2022)
Background and Aims This study aimed to investigate whether AI via a deep learning algorithm using endoscopic ultrasonography (EUS) images could predict the malignant potential of gastric gastrointestinal stromal tumors ...
Türkiye’de yapay zeka alanında yazılan tezlerin içerik analizi yöntemiyle incelenmesi
(Marmara University, 2022)
Son yıllarda en çok kullanılan ve söz edilen iletişim teknolojilerinden biri olan yapay zeka, hem operasyonel verimliliği geliştirmek ve güçlendirmek için işletmelere uygulanabilen, insansı veya insansı olmayan robotlar ...