Latest AI and machine learning research in pneumonia for healthcare professionals.
OBJECTIVES: We aimed to develop and validate a deep learning system (DLS) by using an auxiliary sect...
Implementation of behavior therapy for ADHD faces challenges in community settings. We describe deve...
The problem of positioning wireless sensor networks is an important and challenging topic in all wal...
The demand for anomaly detection, which involves the identification of abnormal samples, has continu...
ChatGPT, a chatbot released by OpenAI in November 2022, has rocked academia with its capacity to gen...
BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good per...
The generative adversarial network (GAN) is a promising deep learning method for generating images. ...
Although Native (American Indian and Alaska Native [AI/AN]) populations have high rates of abstinenc...
In order to explore the influence of outdoor microclimate on the cooling effect of constant temperat...
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X...
The primary objective of this proposed framework work is to detect and classify various lung disease...
IMPORTANCE: Artificial intelligence (AI) can interpret abnormal signs in chest radiography (CXR) and...
A long-standing challenge in pneumonia diagnosis is recognizing the pathological lung texture, espec...
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in 6.6 million dea...
Chronic obstructive pulmonary disease (COPD) concerns the serious decline of human lung functions. T...
The 2019 coronavirus disease (COVID-19) has rapidly spread across the globe. It is crucial to identi...
(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce is...
Since December 2019, the coronavirus disease has significantly affected millions of people. Given th...
The COVID-19 pandemic is a critical public health concern that has disproportionately affected the B...
This work investigates the medical image denoising (MID) application of the dual denoising network (...
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new ...