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New AI Software Can Detect Certain Lung Diseases In Only a Few Minutes

This AI software is also 98 percent accurate. University of West Scotland (UWS) researchers believe that Artificial Intelligence (AI) can automatically diagnose certain lung diseases, as reported by Interesting Engineering. ....

United Kingdom , April Fowell , Klinikum Magdeburg , Convolutional Neural Network , University Of West Scotland , Tech Times , West Scotland , Artificial Intelligence , Getty Images , New Anti , Also Detects Lung Diseases , Swarm Learning , Ung Disease ,

The impact of existing and theoretical mutations on SARS-CoV-2 CD8+ T cell targets

Researchers evaluated the effect of mutations in SARS-CoV-2 variants of concern on CD8+ T cell responses. ....

Kateryna Kon Shutterstock , Lab Diagnostics Automation , A Convolutional Neural Network , Lab Diagnostics Automation Industry , Convolutional Neural Network , Automation Industry Focus , Coronavirus Disease Covid 19 , Ars Cov 2 , Evere Acute Respiratory , Evere Acute Respiratory Syndrome ,

AI algorithm improves fracture diagnosis on whole-body trauma computed tomography: Study

Japan: An artificial intelligence (AI) algorithm can improve fracture detection on whole-body trauma computed tomography (CT) exams performed on patients in emergency departments, researchers state in. ....

Satoshi Maki , Chiba University , Frontier Medical Engineering , Scientific Reports , Computed Tomography , Artificial Intelligence , Emergency Department , Deep Learning , Convolutional Neural Network , Nn Models , Issed Fractures ,

"Ensemble multimodal deep learning for early diagnosis and accurate cla" by Santosh Kumar, Sachin Kumar Gupta et al.

Over the past few years, the awful COVID-19 pandemic effect has become a lethal sickness. The processing of the gathered samples requires extra time due to the use of medical diagnostic equipment, methodologies, and clinical testing procedures for the early diagnosis of infected individuals. An innovative multimodal paradigm for the early diagnosis and precise categorization of COVID-19 is put up as a solution to this issue. To extract distinguishing features from the prepared chest X-ray picture and cough (audio) database, chest X-ray-based and cough-based model are used here. Other public chest X-ray image datasets, and the Coswara cough (audio) dataset containing 92 COVID-19 positive, and 1079 healthy subjects (people) using the deep Uniform-Net, and Convolutional Neural Network (CNN). The weighted sum-rule fusion method and ensemble deep learning algorithms are utilized to further combine the extracted features. For the early diagnosis of patients, the framework offers an accuracy ....

Convolutional Neural Network , Covid 19 , Deep Learning , Ensemble Learning , Machine Learning ,

VanceAI Creativity Series Review—AI Help Produce Diversified Images

Learning how to utilize VanceAI tools to edit photographs, recover vintage pictures, and colorize images in 5 seconds or less. ....

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