A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders.

This systematic review examines the transformative impact of artificial intelligence (AI) in managing lung disorders through a comprehensive analysis of articles spanning 2014 to 2023. Evaluating AI's multifaceted roles in radiological imaging, disease burden prediction, detection, diagnosis, and molecular mechanisms, this review presents a critical synthesis of key insights from select articles. The findings underscore AI's significant strides in bolstering diagnostic accuracy, interpreting radiological imaging, predicting disease burdens, and deepening the understanding of tuberculosis (TB), chronic obstructive pulmonary disease (COPD), silicosis, pneumoconiosis, and lung fibrosis.

Chylothorax in the Setting of Lung Malignancy.

Chylothorax refers to chyle within the pleural space, which frequently arises from an interruption in the thoracic duct or because of reduced lymphatic drainage. Pleural fluid that is white/milky in appearance, with a triglyceride concentration of greater than 110 mg/dL, strongly supports the diagnosis of chylothorax. Chylothorax is nearly always exudative.

COVID-19 and Cavitary Lesion in Lung.

The clinical manifestations of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are widespread, ranging from asymptomatic to critical illness with significant morbidity and mortality. It is widely known that individuals who have viral respiratory infections are more likely to develop bacterial infections. Throughout the pandemic, despite the fact that COVID-19 was thought to be the primary cause of millions of deaths, bacterial coinfections, superinfections, and other secondary complications played a significant role in the increased mortality rate.