Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

Background: Automated radiologic analysis using computer-aided detection software (CAD) could facilitate chest X-ray (CXR) use in tuberculosis diagnosis. There is little to no evidence on the accuracy of commercially available deep learning-based CAD in different populations, including patients with smear-negative tuberculosis and people living with human immunodeficiency virus (HIV, PLWH).

Methods: We collected CXRs and individual patient data (IPD) from studies evaluating CAD in patients self-referring for tuberculosis symptoms with culture or nucleic acid amplification testing as the reference.

Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.

Background: Deep learning-based radiological image analysis could facilitate use of chest x-rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to determine whether commercially available chest x-ray analysis software meet WHO recommendations for minimal sensitivity and specificity as pulmonary tuberculosis triage tests.

Methods: We recruited symptomatic adults at the Indus Hospital, Karachi, Pakistan.

Arthroscopic Bankart Repair With Remplissage in Comparison to Bone Block Augmentation for Anterior Shoulder Instability With Bipolar Bone Loss: A Systematic Review.

Purpose: The purpose of this systematic review is to examine the rates of postoperative recurrence of instability, functional outcomes, and complications after treatment with bone augmentation procedures or arthroscopic Bankart repair with remplissage for recurrent anterior shoulder instability in the setting of subcritical glenoid bone loss.

Methods: EMBASE, PubMed, and MEDLINE were searched from database inception until June 2019 for articles examining either bone block augmentation to the glenoid or Bankart repair with remplissage (BRR) in the setting of subcritical glenoid bone loss. Search and data extraction were performed by 2 reviewers independently and in duplicate.

Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis.

Objective: To determine the diagnostic accuracy of serological tests for coronavirus disease-2019 (covid-19).

Design: Systematic review and meta-analysis.

Data Sources: Medline, bioRxiv, and medRxiv from 1 January to 30 April 2020, using subject headings or subheadings combined with text words for the concepts of covid-19 and serological tests for covid-19.