Objectives: Osteoporosis is a silent disease with low screening rates in many developing countries. This study aimed to evaluate the feasibility of using an artificial intelligence (AI)-based system to screen osteoporosis from pelvic and hip radiographs in Vietnam. Methods: We conducted a cross-sectional study at a tertiary medical center in Central Vietnam in 2023. A total of 2000 consecutive pelvic and hip radiographs from patients aged ≥ 40 years were collected. After excluding poorquality images, 1987 radiographs were analyzed using an AI-based software designed to estimate bone mineral density (BMD) from plain radiographs and derive T-scores. Osteoporosis was defined as a T-score ≤ − 2.5. Patient characteristics, radiographic findings, and risk factors for osteoporosis were analyzed. Results: Among 1987 patients (mean age 66.4 ± 15.1 years; 41.3% men), osteoporosis was identified in 872 patients (43.9%). The prevalence increased with age and was higher in women than in men (58.7% vs 22.8%, P < 0.001). Osteoporosis was associated with femoral neck (OR = 3.8, 95% CI: 2.7–5.2) and intertrochanteric fractures (OR = 7.0, 95% CI: 4.5–11.0). Patients with lower T-scores had a higher risk of hip fractures, especially those with T-scores ≤ − 3.0 (OR = 11.5, 95% CI: 5.5–24.5). Conclusions AI-based analysis of pelvic and hip radiographs is a feasible and effective tool for osteoporosis screening in Vietnam. The prevalence of osteoporosis in this hospital-based setting was high, particularly among elderly women.AI-assisted screening may offer an accessible strategy for early detection of osteoporosis in resource-limited settings.

Background: Japanese Encephalitis (JE) is common in the plains and mountainous areas in Asia \u2013 Pacific. Japanese encephalitis vaccine shows effectiveness in protecting children from JE in some countries such as Japan and Korea. Objective: To evaluate the efficacy of Japanese Encephalitis (JE) vaccination in Thai Binh province during 2003-2007. Subject and Method: Prospective, retrospective and sero-epidemiological methods were carried out on 329 samples collected from viral encephalitis patients and tested by JE MAC-ELISA, the positive average was 41.6% (137/329). Result: It had dramatically dropped from 85.2% in 2003 to 8.5 % in 2007 related to the rate of JE vaccination for children from 1 to 5 years old increasing from 49 % in 2003 to 77 % in 2007. Most of JE confirmed cases were un-vaccinated. Conclusion: JE etiology cause viral encephalitis in children in Thai Binh province was reduced thanks to JE vaccination in EPI program for 1 to 5 year old children. But more than 96% (131/136) of viral encephalitis in 15 years old upward was unknown etiology, the need for further study of the etiology cause viral encephalitis in adults.
Japanese encephalitis ; virus encephalitis ; MAC-ELISA ; Vaccine