Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to pre...
Computer tomography is an extensively used method for the detection of the disease in the subjects. ...
Mycobacterium tuberculosis (Mtb) is a pathogen of major concern due to its ability to withstand both...
Artificial Intelligence (AI) has been applied successfully in many real-life domains for solving com...
Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great ...
PURPOSE: Energy expenditure is a key parameter in quantifying physical activity. Traditional methods...
In this study, the accuracy of the positional relationship of the contact between the inferior alveo...
Supervised deep learning has become a standard approach to solving medical image segmentation tasks....
BACKGROUND: Most of existing deep learning research in medical image analysis is focused on networks...
In response to the COVID-19 global pandemic, recent research has proposed creating deep learning bas...
PURPOSE: An inevitable feature of ultrasound-based diagnoses is that the quality of the ultrasound i...
Utilizing smart face masks to monitor and analyze respiratory signals is a convenient and effective ...
The recent investigation has started for evaluating the human respiratory sounds, like voice recorde...
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of pulmonary dis...
Tuberculosis (TB) is an airborne disease caused by . It is imperative to detect cases of TB as early...
In order to establish the mapping relationship between architectural design parameters and building ...
Recently, interest and advances in artificial intelligence (AI) including deep learning for medical ...
OBJECTIVE: Patients with indeterminate pulmonary nodules (IPN) with an intermediate to a high probab...
Real-time tracking of a target volume is a promising solution for reducing the planning margins and ...
We propose a deep learning-assisted overscan decision algorithm in chest low-dose computed tomograph...
OBJECTIVE: To develop and validate a deep learning (DL) signature for predicting lymph node (LN) met...