Novel Technique for Fracture Fixation of the Patella Following Unicondylar Knee Replacement: A Clinical Case Report.

Introduction: Unicondylar knee replacement (UKR) is a surgical procedure frequently performed to treat medial compartment osteoarthritis, offering advantages such as quicker recovery and preservation of knee kinematics. However, complications can arise, including periprosthetic fractures. Patella fractures in the context of UKR are particularly challenging due to the presence of the implant.

Artificial intelligence as a proficient tool in detecting pulmonary tuberculosis in massive population screening programs: a case study in Chennai, India.

Objective: To evaluate the performance of Genki, a computer-aided detection (CADe) software, in detecting tuberculosis (TB) using chest radiography in a mobile TB screening program in Chennai, India.

Materials And Methods: Genki, an AI-based CADe software, was employed in four mobile diagnostic units in remote areas of Chennai, India for screening TB. Patients from remote areas of Chennai who visited the vans and registered in the screening program underwent chest radiography, and the acquired X-ray scans were analyzed using Genki, which provided an assessment of each scan as either "TB suggestive" or "TB not suggestive".

Discordance of 3rd and 4th generation QuantiFERON-TB Gold assays by pregnancy stages in India.

Background: Pregnancy and HIV affect CD4+ T lymphocytes and impact performance of QuantiFERON-TB Gold (QFT). We compared the results of QFT with QuantiFERON-TB Gold Plus (QFT-Plus), which also measures CD8+ responses to TB antigens, during pregnancy and postpartum.

Methods: We screened 516 pregnant women for TB infection (TBI) with IGRA.

Generalizing from qualitative data: a case example using critical realist thematic analysis and mechanism mapping to evaluate a community health worker-led screening program in India.

Background: A central goal of implementation science is to generate insights that allow evidence-based practices to be successfully applied across diverse settings. However, challenges often arise in preserving programs' effectiveness outside the context of their intervention development. We propose that qualitative data can inform generalizability via elucidating mechanisms of an intervention.