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Fakultas Kedokteran Militer, Universitas Pertahanan Republik Indonesia In collaboration with Perdokmil (Perkumpulan Kedokteran Militer)
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The ASEAN Journal of Military and Preventive Medicine
Published by Universitas Pertahanan Republik Indonesia
ISSN : 30319447     EISSN : 3031870X     DOI : https://doi.org/10.47353/ajmpm
Core Subject :
The ASEAN Journal of Military and Preventive Medicine is an open-access, peer-reviewed scientific journal dedicated to advancing knowledge and innovation in the fields of military medicine, preventive medicine, biodefense, emergency medicine, disaster response, humanitarian health, and global public health. As one of the leading scholarly platforms in Indonesia and the ASEAN region, the journal provides an essential forum for researchers, military health professionals, clinicians, academics, and policymakers to disseminate high-quality research findings, emerging technologies, and interdisciplinary perspectives relevant to military and civilian healthcare systems. While military medicine remains the journal’s primary focus, contributions from allied disciplines with translational and practical impact are highly encouraged, particularly studies related to medical preparedness, humanitarian assistance, operational medicine, epidemiology, tropical diseases, public health resilience, and preventive healthcare strategies.
Arjuna Subject : -
Articles 45 Documents
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Artificial Intelligence for Healthcare Fraud Prevention: A Systematic Literature Review Ridwan Ridwan; Dian Arlianty
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 2 (2026): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i2.72

Abstract

The purpose of the study was to identify the methods used to detect fraud in health services using artificial intelligence. Methods: This research was conducted using a systematic review through searching for articles using the keywords “artificially intelligent” and “fraud Healthcare” and then entered into the Scopus journal search engine based on secondary data on the publish or perish application. 8. Then the selection of journals and articles is based on the suitability title theme. The article aims to detect health services fraud by using artificial intelligence. Results: The findings from the twelve articles reviewed indicate that fraud can be prevented and detected by using an information technology system embedded in the application for filing claims in health services as a tool for auditors in conducting audits. Health insurers/insurers must adopt increasingly sophisticated machine learning methods as part of their fraud prevention system to proactively identify instances of fraud.
Dynamic balance standard values of combat soldiers readiness Endang Ernandini; Fidelia Adeline Cahyadi; Muhammad Fauzi Faturohman Sonjaya; Dea Chandra Trinita; Wenseslaus Kostradilo Dasepta
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 2 (2026): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i2.74

Abstract

Background: The Medical Rehabilitation Unit provides post-injury rehabilitation for soldiers and staff at the Gatot Soebroto Army Central Hospital (RSPAD-GS), where the risk of injury is high. The goal of post-injury rehabilitation is to regain readiness for duty. Reference values are needed for preventive measures against injury and as evaluation criteria for post-injury lower limb recovery. The Star Excursion Balance Test (SEBT) was selected because it can be easily and independently performed by soldiers and all RSPAD-GS personnel. This study also sought reference values for other dynamic balance tests using the advanced iMoove device, which is already available at RSPAD-GS but lacks clear reference values. Methods: This study design is a cross-sectional comparison. It included 15 healthy/uninjured soldiers (NS) and 15 soldiers with lower limb injuries (IS). All soldiers were males aged 20 to early 30s and met the inclusion criteria. Both the NS and IS groups underwent the SEBT and iMoove tests. Results: The SEBT scores for the healthy IS limb were significantly lower than those for the NS limb (p < 0.05) in 5 of the 8 directions studied. The SEBT scores for the injured IS limb were significantly lower than those for the healthy IS limb in 5 of the 8 directions studied (p < 0.05). The NS SEBT values were: anterior 94.40%, anteromedial 98.13%, medial 97%, posteromedial 99%, posterior 94.67%, posterolateral 97.86%, lateral 86.53%, and anterolateral 86.40%. In the study using the iMoove device, a significant difference was found between IS and NS in iMoove phase III with a value of 8.2 (p=0.007). Conclusion: These reference values are valid for individuals aged 20–early 30s. Dynamic balance scores in the IS group were significantly lower than those in the NS group, even though assessments were conducted in both groups on the uninjured limb. NS dynamic balance scores can be used as reference values for preventive measures and recovery from lower limb injuries. Reference values for the iMoove device must be above 8.2 for each phase. Medical rehabilitation therapy takes a holistic approach to the patient, involving both the injured and uninjured sides to restore functional daily activities.
Preoperative Systemic Corticosteroids and Intraoperative Outcomes for Endoscopic Sinus Surgery:A Meta-Analysis of Randomized Controlled Trials Bimo Wiratomo Baskoro; Ja'far Elyas; Dinda Puspha; Nabil Ramaseno; Mahdi Syahputra Imam; Khairan Irmansyah; Ilham Syahputro
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 2 (2026): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i2.76

Abstract

Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) often requires endoscopic sinus surgery (ESS) when medical therapy fails. Preoperative systemic corticosteroids are commonly administered to reduce mucosal inflammation and polyp size; however, their effects on intraoperative outcomes remain uncertain. Objective: To evaluate the effects of preoperative systemic corticosteroids on surgical field quality, intraoperative blood loss, and operative time during ESS for CRSwNP. Methods: A systematic review and meta-analysis of randomized controlled trials was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD420241330602). Electronic databases were searched from inception to the final search date. Eligible studies included adults with CRSwNP undergoing ESS who received preoperative systemic corticosteroids. The primary outcome was surgical field quality, while secondary outcomes included intraoperative blood loss and operative time. Two reviewers independently performed study selection, data extraction, and risk-of-bias assessment. Random-effects meta-analysis was used to pool standardized mean differences (SMDs) and mean differences (MDs). Results: Five randomized controlled trials involving 242 participants were included. Preoperative corticosteroids significantly reduced intraoperative blood loss (MD −80.42 mL; 95% CI, −158.47 to −2.37; p = 0.04) and operative time (MD −10.84 minutes; 95% CI, −19.57 to −2.10; p = 0.02). Surgical field quality showed a favorable but non-significant improvement (SMD −1.12; 95% CI, −2.35 to 0.11; p = 0.08). Considerable heterogeneity was observed for blood loss and surgical field quality. Conclusion: Preoperative systemic corticosteroids may improve intraoperative outcomes during ESS by reducing blood loss and operative time, although their effect on surgical field quality remains uncertain. Further high-quality randomized trials are needed to determine the optimal corticosteroid regimen.
Periodontal and Inflammatory Effects of Switching to Combustion-Free Nicotine Delivery Systems: A 12-Month Randomized Controlled Trial Amaliya Amaliya; Ira Citra Afsari; Prajna Metta
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 2 (2026): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i2.78

Abstract

Introduction: Tobacco smoking is a recognized risk factor for periodontal disease, contributing to inflammation and poor oral health. Combustion-free nicotine delivery systems (C-F NDS) have emerged as alternatives, yet their long-term clinical implications on periodontal health remain unclear. Objective: This study aimed to assess the 12-month effects of switching from conventional smoking to C-F NDS on cigarette consumption, gingival inflammation, plaque accumulation, and exhaled carbon monoxide (CO) levels. Methods: A randomized controlled trial was conducted with 40 adult smokers, allocated into two groups: one continued smoking conventional cigarettes, and the other transitioned to C-F NDS (IQOS™ or RELX™). Variables measured included cigarettes per day (CPD), Modified Gingival Index (MGI), plaque accumulation scores (R30, R120, Simple OH Score) using Quantitative Light Fluorescence (QLF) technology with Qraycam , and CO levels. Data were analyzed using parametric and non-parametric tests with significance at p < 0.05. Results: The C-F NDS group showed a significant reduction in CPD (p < 0.0001), and lesser progression of gingival inflammation (MGI Δ: 0.94 vs. 1.25; p = 0.041). Reductions were also observed in early plaque (R30, p = 0.046) and oral hygiene scores (Simple OH Score, p = 0.026). CO levels declined in both groups, with a greater reduction among C-F NDS users (ΔCO: -5.65 ppm vs. -4.25 ppm), although not statistically significant (p = 0.621). Conclusion: Switching to C-F NDS is associated with reduced cigarette use, improved periodontal markers, and decreased exposure to combustion-related toxins. These findings support the inclusion of C-F NDS in harm reduction strategies for tobacco users.
Artificial Intelligence-Driven Malaria Outbreak Surveillance and Interdisciplinary Collaboration: A Systematic Review and the MOSAIC Conceptual Architecture Paulus Scott Djenison Aupe; Daniel Ery Davidson; Daffa Faiq Hafizh; Muhammad Al Abrar Machzan; Ghilfani Rahman; Maurezio Richard Wilson
The ASEAN Journal of Military and Preventive Medicine Vol. 3 No. 2 (2026): July
Publisher : Perkumpulan Kedokteran Militer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ajmpm.v3i2.79

Abstract

Background: Malaria causes significant diagnostic bottlenecks during tropical outbreaks due to the limitations of light microscopy and rapid diagnostic tests (RDTs). Rapid parasite identification is essential for effective outbreak surveillance and military medical readiness, particularly in resource-constrained settings where delayed diagnosis can lead to hyperparasitaemia and ongoing transmission. This study evaluates the diagnostic precision of advanced computational modalities and conceptualizes the Malaria Outbreak Surveillance with Artificial Intelligence and Collaboration (MOSAIC) framework to strengthen counter-malaria strategies. Methods: Following PRISMA 2020 guidelines, a systematic literature search was conducted across six electronic databases (PubMed, Scopus, Google Scholar, Cochrane Library, EBSCO, and ScienceDirect). From 125 identified records, fifteen studies published between 2015 and 2026 met predefined eligibility criteria and were assessed for methodological quality. Discussion: wing to substantial methodological heterogeneity, a qualitative narrative synthesis was performed. The review examined key diagnostic metrics, including sensitivity, specificity, accuracy, and F1-score, reported by deep learning and vision-transformer models applied to digital blood smears. Findings were integrated into the tri-layered MOSAIC framework, which proposes that automated diagnostic performance must operate alongside interdisciplinary collaboration to enable timely outbreak detection, resource allocation, and field response. Conclusion: While AI offers immense potential to overcome diagnostic gridlocks through high-throughput analysis, isolated computational prowess lacks epidemiological impact. Successful outbreak mitigation depends upon the harmonised, intersectoral orchestration proposed within the MOSAIC framework, necessitating prospective field trials and standardised reporting protocols for clinical implementation. Keywords: Artificial intelligence, Malaria, Outbreak surveillance, Convolutional neural networks, Interdisciplinary collaboration.

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