Latest AI and machine learning research in pulmonology for healthcare professionals.
BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP)...
Artificial intelligence is a hot topic in medical imaging. The development of deep learning methods ...
OBJECTIVES: To evaluate the diagnostic performance of a deep learning algorithm for automated detect...
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of...
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the l...
PURPOSE: Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore...
BACKGROUND: Lung cancer is the second most common cancer for men and women; the wide adoption of ele...
To better control and manage harbor water quality is an important mission for coastal cities such as...
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the h...
UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart r...
INTRODUCTION: infection is a well-established etiological factor for a variety of diseases such as ...
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds ...
PURPOSE: Lung cancer is the commonest cause of cancer deaths worldwide, and its mortality can be red...
In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
BACKGROUND: Localization and resection of nonvisible, nonpalpable pulmonary nodules during video-ass...
RATIONALE AND OBJECTIVES: We aimed to present a deep learning-based malignancy prediction model (CT-...
PURPOSE: Diagnosis of lung cancer requires radiologists to review every lung nodule in CT images. Su...
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health haza...
BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growt...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...