Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted a retrospective evaluation of three DL systems (CAD4TB, Lunit INSIGHT, and qXR) for detecting TB-associated abnormalities in chest radiographs from outpatients in Nepal and Cameroon.

Impact of fluoroquinolone treatment on delay of tuberculosis diagnosis: A systematic review and meta-analysis.

Background: Fluoroquinolones are among the most commonly used antibiotics for the treatment of respiratory infections. Because fluoroquinolones show bactericidal activity against , there is concern that their use can delay the diagnosis of tuberculosis. We conducted a systematic review and meta-analysis to assess whether empiric treatment with fluoroquinolones delays the diagnosis and treatment of tuberculosis in patients with respiratory tract infections.

A cross-metathesis approach to novel pantothenamide derivatives.

Pantothenamides are known for their in vitro antimicrobial activity. Our group has previously reported a new stereoselective route to access derivatives modified at the geminal dimethyl moiety. This route however fails in the addition of large substituents.

High rates of obesity and greater associated disability among people with rheumatoid arthritis in Canada.

Obesity in rheumatoid arthritis has been associated with increased risk of comorbidities, larger medical costs, decreased quality of life, higher disease activity, and reduced therapeutic responses. We assessed the burden of obesity among rheumatoid arthritis patients and its impact on patient-reported outcomes. Patients receiving care at two Canadian University Centers were included.