Medical Technology

Medical Technology is a hub where clinicians, engineers, scientists, and others work together on research and development of various healthcare-focused technology represented into five Research Groups:

  1. Artificial Intelligence in Medicine and Digital Health
  2. Biomaterials and Biofabrication
  3. Biomechanics and Rehabilitation Technology
  4. Medical Instrumentation and Simulators
  5. Neurotechnology

Medical Technology also provide services accessible for anyone who require assistance on performing research and development activities delivered by three Core Facility Services:

  1. Medical Application and Digital System Development
  2. Medical Data Recording and Processing
  3. Medical Instrumentation and Workshop

Research & Innovation Highlight

  • The FIGHT COVID-19 Study : Scoring of Pneumonia COVID-19 Using Chest X-Ray (CXR) and Artificial Intelligence.
  • Generation and Evaluation of Fish Powder from Indonesia Marine Byproducts as Supplementary Food for Prevention of Stunting Amongst Indonesian Children.
  • Oxygen concentrator fabrication.
  • CARDIUM & CARDICARE : Health monitoring tool to measure the risk of cardiovascular disease and diabetes that integrated with mobile phone application.
  • The effect of indigenous aromatherapy in Electroencephalography (EEG)

Artificial Intelligence in Medicine and Digital Health (AIDH)

Ongoing Research :

  • Early Detection of Ear Disease Using Smartphone Otoendoscopy.
  • StethoSoul-SENSE: An Early Detection System for Depression and Anxiety in Adolescents.
  • The Transformation Of The Medical Professions Through Generative Ai: Experimental Evidence From The Lab.
  • Utilization of a Digital Stethoscope with Machine Learning and Computer-Aided Chest Radiography Diagnosis to Improve Tuberculosis Diagnosis in Jakarta.
  • Skin Viability Detection Using AI-Enhanced Photographic Analysis for Plastic Surgery Application.
  • The Role of Artificial Intelligence in Lung Tuberculosis Prediction Using Chest X-ray and Clinical Data (RAIT Study)

Publication & Intellectual Rights:

  • Susanto, A. P., Lyell, D., Widyantoro, B., Juzar, D. A., Santoso, A., Berkovsky, S., & Magrabi, F. (2025). AI-assisted cardiovascular risk assessment by general practitioners in resource-constrained Indonesian settings using a conceptual prototype: Randomized controlled study. Journal of Medical Internet Research, 27, e73131. https://doi.org/10.2196/73131.
  • Lyell, D., Dinh, M., Gillett, M., Abraham, N., Symes, E. R., Susanto, A. P., Chakar, B. A., Seimon, R. V., Coiera, E., & Magrabi, F. (2025). Evaluating the impact of AI assistance on decision-making in emergency doctors interpreting chest X-rays: A multi-reader multi-case study. Emergency Medicine Journal, 42(12), 774–782. https://doi.org/10.1136/emermed-2024-214781
  • Kameela, F. K., Putranto, F. M., Yusuf, P. A., Pujitresnani, A., Valindria, V. V., Sudiana, D., & Rizkinia, M. (2025). White Matter Microstructure Differences Between Congenital and Acquired Hearing Loss Patients Using Diffusion Tensor Imaging (DTI) and Machine Learning. Computers, 14(8), 303. https://doi.org/10.3390/computers14080303.
  • Yulvina, R., Putra, S. A., Rizkinia, M., Pujitresnani, A., Tenda, E. D., Yunus, R. E., Djumaryo, D. H., Yusuf, P. A., & Valindria, V. (2024). Hybrid Vision Transformer and Convolutional Neural Network for Multi-Class and Multi-Label Classification of Tuberculosis Anomalies on Chest X-Ray. Computers, 13(12), 343. https://doi.org/10.3390/computers13120343.
  • Tenda, E. D., Henrina, J., Setiadharma, A., Aristy, D. J., Romadhon, P. Z., Thahadian, H. F., Mahdi, B. A., Adhikara, I. M., Marfiani, E., Suryantoro, S. D., Yunus, R. E., & Yusuf, P. A. (2024). Derivation and validation of novel integrated inpatient mortality prediction score for COVID-19 (IMPACT) using clinical, laboratory, and AI-processed radiological parameter upon admission: a multicentre study. Scientific reports, 14(1), 2149. https://doi.org/10.1038/s41598-023-50564-9.
  • Tenda, E. D., Yunus, R. E., Zulkarnaen, B., Yugo, M. R., Pitoyo, C. W., Asaf, M. M., Islamiyati, T. N., Pujitresnani, A., Setiadharma, A., Henrina, J., Rumende, C. M., Wulani, V., Harimurti, K., Lydia, A., Shatri, H., Soewondo, P., & Yusuf, P. A. (2024). Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study. JMIR formative research, 8, e46817. https://doi.org/10.2196/46817
  • Laksmi, P. W., Dinakrisma, A. A., Abdiel, T., Susanto, A. P., Pujitresnani, A., Lukmana, A. A. I., & Yusuf, P. A. (2024). Digital divide: Knowledge, attitudes and practices toward mobile phone and apps use among Indonesian older adults residing in a megapolitan city. Gerontechnology, 23(1), 1–13. https://doi.org/10.4017/GT.2024.23.1.845.03.
  • Khuluq, H., Yusuf, P. A., Perwitasari, D. A., & Nguyen, T. (2024). Mortality prediction of COVID-19 patients using supervised machine learning. IAES International Journal of Artificial Intelligence, 13(4), 4472–4479. https://doi.org/10.11591/ijai.v13.i4.pp4472-4479.
  • Malik, K., Widyarini, I. G. A. A., Kaligis, F., Kusumawardhani, A., Yusuf, P. A., Krisnadhi, A. A., Riandi, O., & Pujitresnani, A. (2023). Differences in syntactic and semantic analysis based on machine learning algorithms in prodromal psychosis and normal adolescents. Asian journal of psychiatry, 85, 103633. https://doi.org/10.1016/j.ajp.2023.103633.
  • Tenda, E. D., Henrina, J., Samosir, J., Amalia, R., Yulianti, M., Pitoyo, C. W., & Setiati, S. (2023). Machine learning-based COVID-19 acute respiratory distress syndrome phenotyping and clinical outcomes: A systematic review. Heliyon, 9(6), e17276. https://doi.org/10.1016/j.heliyon.2023.e17276
  • Paten Sederhana No. IDS000012181, 31 Desember 2025. Sistem Komputasi Untuk Menilai Proses Pikir Individu Menggunakan Teknologi Pengenalan Wicara Otomatis Dan Klasifikasi Teks Sebagai Deteksi Dini Gangguan Psikosis.
  • Hak Cipta No. EC00202407944, 23 Januari 2024. TelingaKecilku (Program Komputer).
  • Hak Cipta No. EC00202407948, 23 Januari 2024. Panduan Penggunaan Aplikasi TelingaKecilku (Karya Rekaman Video).
  • Merek No. IDM001242942, 9 Desember 2024. Telinga Kecilku Aplikasi Deteksi Dini Gangguan Pendengaran + Logo.
  • Hak Cipta No. EC00202305235, 17 Januari 2023. EBook Panduan StethoSoul (e-Book).
  • Merek No. IDM001137445, 8 November 2023. StethoSoul.
  • Hak Cipta No. EC00202323948, 28 Maret 2023. Aplikasi e-Dasawisma (Program Komputer).
  • Hak Cipta No. EC00202323937, 28 Maret 2023. Aplikasi e-Asuh (Program Komputer).
  • Hak Cipta No. EC00202323946, 28 Maret 2023. Aplikasi Bumil Fit (Program Komputer).
  • Hak Cipta No. EC00202273639, 28 Maret 2023. Aplikasi Peduli Stunting (Program Komputer).
  • Hak Cipta No. EC00202203306, 14 Januari 2022. Aplikasi Telemedicine Berbasis Smartphone untuk Pelayanan Kesehatan dan Penatalaksanaan Jarak Jauh COVID-19 di Indonesia (Program Komputer).
  • Hak Cipta No. EC00202216263, 9 Maret 2022. ISOLASINFO – Aplikasi Untuk Membantu Isolasi Mandiri Selama Pandemi Covid-19 Versi Android (Program Komputer).
  • Hak Cipta No. EC00202216349 9 Maret 2022. ISOLASINFO – Aplikasi Untuk Membantu Isolasi Mandiri Selama Pandemi Covid-19 Versi IOS (Program Komputer).
  • Hak Cipta No. EC00202217364, 12 Maret 2022. Aplikasi Smart Lansia Indonesia (Program Komputer).
  • Hak Cipta No. EC00202257776, 26 Agustus 2022. StethoSoul (Program Komputer).

Biomaterials & Bio-Fabrication

Ongoing Research:

  • Prostate Specific Antigen (PSA) Screening Kit.
  • Fabrication of an Affordable Hydrogel-Based Prostate Phantom for Training Urology Residents.
  • Optimization and Validation of an Electrochemical Immunosensor Kit Using an Anti-rLipL32 IgG Bioreceptor for the Detection of Leptospirosis in Animal and Human Specimens.

Publication & Intellectual Rights:

  • Susanti S, Sudarmono PP, P Indi Dharmayanti NL, Astagiri Yusuf P. Production and characterization of immunoglobulin G anti-rLipL32 antibody as a biomarker for the diagnosis of leptospirosis. Vet World. 2024 Apr;17(4):871-879. doi: 10.14202/vetworld.2024.871-879. Epub 2024 Apr 19. PMID: 38798296; PMCID: PMC11111714.
  • Permohonan Paten Sederhana No. S00202415766, 19 Desember 2024. Rapid Antigen Sebagai Alat Deteksi Dini Keberadaan PSA (Prostate Specific Antigen) Pada Kanker Prostat.
  • Permohonan Paten Sederhana No. P00202401556, 22 Februari 2024. IgG ANTI-RLIPL32 Sebagai Biomarker Untuk Diagnosis Leptospirosis dan Pembuatannya.

Biomechanics & Rehabilitation Technology

Ongoing Research:

  • Prediction of Knee Joint Loading in Osteoarthritis Using Motion Capture and OpenCap.
  • Development of an Application and Method for Determining Offloading Points in the Diabetic Foot as an Effort to Prevent Foot Ulcers.

Publication & Intellectual Rights :

  • Anestherita F, Tulaar ABM, Rachmawati MR, Yunir E, Harbuwono DS, Werdhani RA, Safri AY, Rachmadi MF, Nadhif MH, Hawalie M AN, Nugraha B, Putri SN, Fianita F and Saputri TN (2025) Development and usability testing of a depth camera–based web application for functionally relevant foot kinematics analysis. Front. Med. Technol. 7:1677174. doi: 10.3389/fmedt.2025.1677174

Medical Instrumentation & Simulators

Ongoing Projects :

  • The Use of Optical Radiation for Non-Invasive Monitoring of Lead Oxide (PbO) in Blood.
  • AI-Based Learning and Assessment Modules to Improve Basic Life Support Knowledge and Skills in the General Public.
  • VRAGMENT : VR Daily Activity for Ageing & Dementia People.
  • KINESIA : Foot-Based Cardiorespiratory Training Device.

Publications & Intellectual Rights :

  • Harini, M., Yusuf, P. A., Kusumaningsih, W., Harimurti, K., Nasrun, M. W. S., Harahap, A. R., Defi, I. R., Widyaningrum, S., Arif, L. S., Pujitresnani, A., & Nugraha, B. (2025). Acceptability & tolerability of virtual reality sessions in acute geriatric ward. Indonesian Journal of Physical Medicine and Rehabilitation, 14(2), 161–169. https://doi.org/10.36803/indojpmr.v14i2.487.
  • Wardhani, R. K., Wahyuni, L. K., Kusumaningsih, W., Budiardjo, S. B., Yusuf, P. A., Wulan, S. M. M., Kekalih, A., Prawitasari, T., Darmiati, S., & Nugraha, B. (2025). A new, portable orofacial manometer for measuring tongue strength and endurance in children: Laboratory-based validity study. JMIR Rehabilitation and Assistive Technologies, 12, e68967. https://doi.org/10.2196/68967.
  • Dhelika, R., Hadi, A. F., & Yusuf, P. A. (2021). Development of a motorized hospital bed with swerve drive modules for holonomic mobility. Applied Sciences, 11(23), 11356. https://doi.org/10.3390/app112311356.
  • Mirtha, L. T., Siagian, M., Tamin, T. Z., Radi, B., Soemarko, D. S., Prijanti, A. R., Irfanuddin, M., Pelana, R., & Mansyur, M. (2021). The formula for calculating the predicted value of cardiorespiratory endurance using a foot rest-based cardiorespiratory exercise device. Science Progress, 104(2), Article 00368504211010637. https://doi.org/10.1177/00368504211010637.
  • Paten Sederhana No. IDS000008509, 10 Juli 2024. Pengembangan Alat Latihan Kardiorespirasi Berbasis Pijak Kaki.
  • Hak Cipta No. EC002024253047, 16 Desember 2024. Laporan Studi Kelayakan Bisnis – Model Alat Latihan Kardiorespirasi Berbasis Pijak Kaki Kinesia Sebagai Gaya Hidup Sehat Dan Aktif (Buku).
  • Hak Cipta No. EC002024253027, 16 Desember 2024. Video Edukasi – Model Alat Latihan Kardiorespirasi Berbasis Pijak Kaki Kinesia dan Pengukuran Kardiorespirasi Dengan Nilai VO 2 maks (Karya Rekaman Video).
  • Hak Cipta No. EC00202323951, 28 Maret 2023. VR VRAGMENT : Modul VR Berbasis Lawton-IADL untuk Pasien Demensia dan Gangguan Fungsi Kognitif (Program Komputer).
  • Hak Cipta No. EC00202277612, 20 Oktober 2022. VR Airway Management (Program Komputer).
  • Hak Cipta No. EC00202277613, 20 Oktober 2022. VR Cardiopulmonary Resuscitation (Program Komputer)

Neurotechnology

Ongoing Project:

  • Reconstruction of Images from EEG Signals for Visualization of Imagination in Adolescents with Mild Autism Spectrum Disorder (ASD) Using Generative AI Algorithms.
  • Electroencephalography-Based Brain–Computer Interface for Hand Prosthesis Development.
  • Brain Activity and Connectivity of Early-Implanted and Late-Implanted Cochlear Implant Congenitally Deaf Children in Indonesia.
  • Brain Prediction Modeling in Schizophrenia with Auditory Verbal Hallucinations using Functional Connectivity Analysis of the Default Mode, Central Executive, and Salience Networks Modulated by Transcranial Magnetic Stimulation (TMS).
  • Neuromarketing Study: The Effect of Influencers in Health Promotion Videos on Decision Making.
  • Comparative Analysis of Attention Reflex Ability and Functional Brain Wave Connectivity Using qEEG in Novice and Expert MOBA Players.
  • Changes in Cognitive Function and QEEG Activity Before and After COVID-19

List publikasi HKI :

  • Ramli, Y., Prawiroharjo, P., Wiratman, W., Tenda, E., Ibrahim, N., Susilaradeya, D., Reza, A., Agatha, J., Siagian, R., Fauhan, H., Evelyn, F., Ugawa, Y., & Yusuf, P. (2025). The relationship between cognitive function and neuropsychiatric disorders with quantitative electroencephalogram (qEEG) on long COVID syndrome patients. Brain, Behavior, & Immunity – Health. https://doi.org/10.1016/j.bbih.2025.100954.
  • Yusuf, P. A., Hubka, P., Konerding, W., Land, R., Tillein, J., & Kral, A. (2024). Congenital deafness reduces alpha-gamma cross-frequency coupling in the auditory cortex. Hearing Research, 449, 109032. https://doi.org/10.1016/j.heares.2024.109032.
  • Malik, K., Widyarini, I. G. A. A., Kaligis, F., Kusumawardhani, A., Yusuf, P. A., Krisnadhi, A. A., Riandi, O., & Pujitresnani, A. (2023). Differences in syntactic and semantic analysis based on machine learning algorithms in prodromal psychosis and normal adolescents. Asian Journal of Psychiatry, 85, 103633. https://doi.org/10.1016/j.ajp.2023.103633

Collaboration

  1. Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover Medical School, Germany.
  2. J.W. Goethe University, Department of Otorhinolaryngology, Frankfurt am Main, Germany.
  3. Ernst Strüngmann Institut (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany.
  4. Dept. of Biomedical Sciences, School of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
  5. Delft Imaging (DIS), Netherland.
  6. Institute of Neuroscience, Newcastle University, UK.
  7. Faculty of Computer Science – Universitas Indonesia, Indonesia.
  8. Cipto Mangunkusumo General Hospital (RSCM), Indonesia.
  9. Mohammad Hosein General Hospital (RSMH), Indonesia.
  10. IHC Dharmais Cancer Hospital, Indonesia.
  11. Institut Teknologi Bandung (ITB), Indonesia.
  12. Universiti Teknologi Malaysia (UTM), Malaysia.
  13. Agency for the Assessment and Application of Technology (BPPT), Indonesia.
  14. Indonesian Institute of Sciences (LIPI), Indonesia.
  15. PT. Sanghiang Perkasa, Indonesia.
  16. PT. Martina Berto, Indonesia.
  17. PT. Sehati Tele-CTG, Indonesia

Organization

Privacy Preference Center