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All Journal Medical Journal of Indonesia Indonesian Journal of Urology Indonesian Journal of Cancer Indonesian Journal of Cancer
Agus Rizal Ardy Hariandy Hamid, Agus Rizal Ardy Hariandy
Departement Of Urology, Faculty Of Medicine, Universitas Indonesia, Cipto Mangunkusumo Hospital, Jakarta
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Future of telerobotic surgery Hamid, Agus Rizal Ardy Hariandy
Medical Journal of Indonesia Vol. 33 No. 3 (2024): September
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.ed.247901

Abstract

[No abstract available]
Artificial intelligence, the state-of-the-art in scientific editing Christian, John; As’syifa, Salsa Billa; Widjaja, Felix Firyanto; Hamid, Agus Rizal Ardy Hariandy
Medical Journal of Indonesia Vol. 34 No. 1 (2025): March
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.ed.258137

Abstract

[No abstract available]
Clinical risk factors of recurrent kidney stone disease: a cohort retrospective study in a tertiary referral hospital Atmoko, Widi; Febriyani; Savitri, Ary Indriana; Uiterwaal, Cuno; Setiati, Siti; Hamid, Agus Rizal Ardy Hariandy; Birowo, Ponco; Rasyid, Nur
Medical Journal of Indonesia Vol. 32 No. 4 (2023): December
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.oa.247166

Abstract

BACKGROUND Nephrolithiasis or kidney stone disease (KSD) is common worldwide. Despite various effective treatment strategies, KSD recurrence remains a problem. This study aimed to investigate the risk factors of KSD recurrence. METHODS This retrospective cohort study used medical records of all patients who came to the Department of Urology, Cipto Mangunkusumo Hospital, Jakarta, from January 2014 to December 2019, with asymptomatic and symptomatic KSD. Demographic information, clinical data, exposure to risk factors, and recurrent KSD diagnosis were collected. Univariate and multivariate analyses using logistic regression were performed to determine the significant risk factors. RESULTS We reported 325 patients with a median age of 52 years. More than half of the patients were males and from Java. Staghorn stone dominated the KSD types found in 181 patients (55.7%). After undergoing percutaneous nephrolithotomy, 214 patients (65.8%) became stone-free. However, about 40.6% of them later developed recurrent KSD. The adjusted odds ratio in recurrent KSD were 1.46 (95% confidence interval [CI] 1.33–1.59) for younger age, 1.86 (95% CI 1.61–2.07) for overweight–obese, 2.13 (95% CI 1.89–2.31) for less fluid intake, 1.81 (95% CI 0.97–2.12) for routine tea consumption, 1.24 (95% CI 1.06–1.84) for routine vegetables consumption, 2.27 (95% CI 1.83–2.84) for a family history of KSD, and 2.08 (95% CI 1.77–2.39) for diabetes mellitus (DM). CONCLUSIONS Most patients with recurrent KSD were younger, overweight/obese, had less fluid intake, a family history of KSD, and DM. Modifying a healthy lifestyle and a balanced diet is important to prevent KSD recurrence.
How artificial intelligence chatbots becomes author’s true friend in medical writing without risking ethical violations Hamid, Agus Rizal Ardy Hariandy
Medical Journal of Indonesia Vol. 33 No. 1 (2024): March
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.ed.247530

Abstract

[No abstract available]
Cutting-edge technology application for prostate disease management in Indonesia: implementation of Healthcare 5.0 towards Indonesia’s Golden Vision 2045 Hamid, Agus Rizal Ardy Hariandy
Medical Journal of Indonesia Vol. 33 No. 2 (2024): June
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.com.247688

Abstract

[No abstract available]
Artificial intelligence for enhanced diagnostic precision of prostate cancer Hamid, Agus Rizal Ardy Hariandy; Harahap, Agnes Stephanie; Miranda, Monik Ediana; Gibran, Kahlil; Shabrina, Nabila Husna
Medical Journal of Indonesia Vol. 34 No. 3 (2025): September
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.oa.258312

Abstract

BACKGROUND Accurate diagnosis and grading of prostate cancer are essential for treatment planning. The role of artificial intelligence in prostate cancer intervention and diagnosis (RAPID) is a study aimed at developing artificial intelligence (AI) models to enhance diagnostic precision in prostate cancer by distinguishing malignant from non-cancerous histopathological findings. METHODS Histopathological images were collected between 2023 and 2024 at the Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia. The dataset included benign prostatic hyperplasia and prostate cancer cases. All slides were digitized and manually annotated by pathologists. Patch-based classification was performed using convolutional neural network and transformer-based models to differentiate malignant from non-malignant tissues. RESULTS A total of 529 whole-slide images were processed, yielding 26,418 image patches for model training and testing. Deep learning models achieved strong performance in classification. Architectures including EfficientNetV2B0, Xception, ConvNeXt-Tiny, and Vision Transformer (ViT) achieved near-perfect classification outcomes. EfficientNetV2B0 reached an AUC of 1.00 (95% CI: 1.00–1.00), sensitivity 0.99 (95% CI: 0.99–1.00), and specificity 1.00 (95% CI: 1.00–1.00). Xception and ConvNeXt-Tiny both achieved AUC 1.00 (95% CI: 1.00–1.00) with sensitivity and specificity of 1.00 (95% CI: 1.00–1.00). ViT performed strongly with AUC 0.999 (95% CI: 0.99–1.00), sensitivity 0.99 (95% CI: 0.99–0.99), and specificity 0.99 (95% CI: 0.99–0.99). CONCLUSIONS RAPID demonstrated high potential as an AI-based diagnostic tool for prostate cancer, showing excellent accuracy in histopathological classification using the Indonesian dataset. These findings highlight the feasibility of deploying deep learning models to support diagnostic decision-making in clinical practice.
SOX2 expression in the primary tumor of castration-naive metastatic prostate adenocarcinoma in association with metastasis extent Saraswati, Meilania; Kekalih, Aria; Lisnawati; Rahadiani, Nur; Asmarinah; Hernowo, Bethy Suryawathy; Hamid, Agus Rizal Ardy Hariandy; Mochtar, Chaidir Arif
Medical Journal of Indonesia Vol. 35 No. 1 (2026): March
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.oa.247588

Abstract

BACKGROUND Poor prognosis in patients with metastatic prostate adenocarcinoma (mPCa) may be due to the expression of stem cell-related genes. This study aimed to demonstrate the association between the expression of cancer stem cell markers and metastasis in patients with castration-naive mPCa. METHODS This cross-sectional, analytical study investigated a formalin-fixed paraffin-embedded prostate specimens from patients diagnosed in Cipto Mangunkusumo Hospital. Patients aged ≥50 years old were grouped based on the extent of metastases (high-volume disease [HVD] and low-volume disease [LVD]). In each case, immunohistochemical staining for CD133, CD44, SOX2, and androgen receptor was performed and analyzed using H-score. All data were recorded and analyzed using SPSS software version 20.0. RESULTS A total of 61 patients were recruited from 2020 to 2023 and divided into the HVD (n = 38) and LVD (n = 23) groups, with a mean age of 67.9 years. 45 of the patients had International Society of Urological Pathology (ISUP) grade 5 disease, while 16 of them had grade <5. A significant difference of ISUP grade and PSA serum level was observed in the HVD versus LVD group (p = 0.017 and <0.001, respectively). Additionally, a significant association was found between SOX2 expression and metastatic extent. CONCLUSIONS The LVD group showed higher SOX2 expression in the primary tumor compared to the HVD group. Different SOX2 expressions in various sites and stages may be due to the cancer cells’ systemic network.
Co-Authors Adianti Khadijah, Adianti Agnes Stephanie Harahap Ahmad Zulfan, Ahmad Akmal Taher Alfarissi, Fekhaza Andika Afriansyah, Andika Ari Astram, Ari Aria Kekalih Arry Rodjani Asmarinah As’syifa, Salsa Billa Bethy Suryawathy Hernowo CHAIDIR A MOCHTAR, CHAIDIR A Chaidir A. Mochtar Chaidir Arif Mochtar CHAIDIR MOCHTAR, CHAIDIR Christian, John Edhi Hapsari Endang Susalit Fajriani, Rosalina Fakhri Rahman Fakhri Rahman, Fakhri Febriyani Felix Firyanto Widjaja Ferry Safriadi Fiastuti Witjaksono Firdaoessaleh Firdaoessaleh gibran, kahlil Ginanda Putra Siregar, Ginanda Putra H R Danarto Hafizar Harahap, Alida Roswita Irfan Wahyudi Lisnawati Maruhum B.H. Marbun Matondang, Sahat BRE Meilania Saraswati Miranda, Monik Ediana Muhammad Firman Noor Riza Perdana, Noor Riza Nur Rasyid Ponco Birowo Prahara Yuri Prasetyo, Dimas Tri R. Danarto, R. Rahadiani, Nur Rainy Umbas Rendy Andika, Rendy Retno Asti Werdhani Rumanter, Rainier Savira, Missy Savitri, Ary Indriana Shabrina, Nabila Husna Siti Setiati SITUMORANG, GERHARD R Soeroto, Adhitama A. Uiterwaal, Cuno Widi Atmoko WIDIA, FINA Wistara, Sevita Sathya Yunir, Peri Eriad