Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.

The intersection of COVID-19 and pulmonary embolism (PE) has posed unprecedented challenges in medical diagnostics. The critical nature of PE and its increased incidence during the pandemic underline the need for improved detection methods. This study evaluates the effectiveness of advanced deep learning techniques in enhancing PE detection in post-COVID-19 patients through Computed Tomography Pulmonary Angiography (CTPA) scans.

Real-Time Assessment of E-Cigarettes and Conventional Cigarettes Emissions: Aerosol Size Distributions, Mass and Number Concentrations.

Cigarette smoke is a complex mixture of chemical compounds which are emitted during the processes of tobacco combustion. Electronic cigarettes (e-cigs) are expected to produce less harmful compounds due to the absence of tobacco leaf combustion. However, potential risks of the passive exposure to the aerosol exhaled by e-cig users have been raised in the last decade.

An emergency diagnostic dilemma: a case of Yersinia enterocolitica colitis mimicking acute appendicitis in a beta-thalassemia major patient: the role of CT and literature review.

The role of computed tomography (CT) scanning in a case of Yersinia enterocolitica (YE) enteritis mimicking acute appendicitis in a 34-year-old female patient with beta-thalassemia major is presented. Although the abdominal CT findings on admittance were indicative of acute appendicitis (enlargement of the appendix and thickening of its wall), making appendectomy a likely treatment option, a second CT scan 3 days later was diagnostic for infectious colitis (bowel wall thickening, ulcerations of the colonic mucosa, and fat stranding), and an unnecessary appendectomy was thus avoided. The diagnosis of YE colitis was later confirmed by serology tests.