{"id":23088,"date":"2024-12-15T00:51:30","date_gmt":"2024-12-14T17:51:30","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?page_id=23088"},"modified":"2024-12-16T08:09:08","modified_gmt":"2024-12-16T01:09:08","slug":"pengembangan-purwarupa-sistem-teleradiology-multi-dimensi-untuk-menunjang-implementasi-personalized-healthcare-di-indonesia","status":"publish","type":"page","link":"https:\/\/stei.itb.ac.id\/en\/prima\/pengembangan-purwarupa-sistem-teleradiology-multi-dimensi-untuk-menunjang-implementasi-personalized-healthcare-di-indonesia\/","title":{"rendered":"Development of a Multi-Dimensional Teleradiology System Prototype to Support the Implementation of Personalized Healthcare in Indonesia"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid kepala vc_custom_1734236300248 vc_row-has-fill\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"container\" ><div class=\"vc_row wpb_row vc_inner vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"vc_btn3-container vc_btn3-inline vc_do_btn\" ><button class=\"vc_general vc_btn3 vc_btn3-size-lg vc_btn3-shape-rounded vc_btn3-style-modern vc_btn3-icon-left vc_btn3-color-white\" onclick=\"history.back()\"><i class=\"vc_btn3-icon fas fa-home\"><\/i> Back to Home<\/button><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734170418007\"><div class=\"wpb_column vc_column_container vc_col-sm-3\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Prof. Suhono Harso Supangkat<\/strong><br \/>\nSTE-ITB<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-3\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Gitarja Sandi<\/strong><br \/>\nSTEI ITB<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-3\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Arga Daniel Reynardo Samosir<\/strong><br \/>\nSTEI ITB<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-3\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Alya Apriliyanti<\/strong><br \/>\nSTEI ITB<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734168902943\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Abstract<\/strong><br \/>\nTeleradiology, as part of this advancement, allows radiological images such as X-rays, MRIs, and CT scans to be transmitted and analyzed remotely. This is very beneficial in personalized healthcare as it speeds up the process of diagnosis and treatment. With teleradiology, radiologists can provide fast and accurate interpretations and recommendations, regardless of the physical location of the patient or the doctor. This is especially helpful in cases of medical emergencies and for patients in remote areas.<\/p>\n<p>Medical image analysis tasks are performed repeatedly, leading to fatigue and reduced capabilities of radiologists. This research applies the DSRM by developing a solution design to address the challenges faced by doctors in medical image analysis and testing this design against the needs of radiologists. The solution developed is an automation prototype to generate AI analysis reports in DICOM Structured Report (DICOM-SR) format on DICOM storage, specifically for chest X-ray (CXR) images. This prototype successfully automates the generation of AI analysis reports in DICOM Structured Report (DICOM-SR) format.<\/p>\n<p><strong>Keyword:<\/strong> Teleradiology, DICOM, LLM<\/p>\n<p><strong>Introduction<\/strong><br \/>\nIn the modern medical era, personalized healthcare has become a major focus in research and clinical practice. This development is driven by the need to address genetic diversity and individual responses to treatment, especially amidst the increasing prevalence of chronic diseases. Personalized healthcare aims to provide treatment tailored to the specific needs of each patient, based on their genetic profile, environment, and lifestyle.<\/p>\n<p>Teleradiology has brought a new dimension to personalized healthcare. Its ability to remotely transmit radiological images such as X-rays, MRIs, and CT scans has accelerated the process of diagnosis and treatment, especially for patients in remote areas. However, this also poses challenges such as the need for robust infrastructure, reliable connectivity, and questions about the accuracy and reliability of image interpretation by AI and machine learning.<\/p>\n<p><strong>Research Objectives<\/strong><br \/>\n\u25cf Designing and building a prototype teleradiology system that can support personalized healthcare in telemedicine services.<br \/>\n\u25cf Analyzing teleradiology so that it can improve the accuracy and speed of diagnosis in health services that support personalized healthcare.<br \/>\n\u25cf Designing the integration of radiology data with clinical information in the EHR to support a more personalized treatment approach.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734169162466 vc_row-o-content-bottom vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"2484\" height=\"1364\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/A91qf77xu_16bhza_n50.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Research Method\" \/><\/div><figcaption class=\"vc_figure-caption\">Research Method<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"851\" height=\"411\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/Radiology-Working-Flow.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Radiology Working Flow\" \/><\/div><figcaption class=\"vc_figure-caption\">Radiology Working Flow<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"631\" height=\"711\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/AI-Aided-Support.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"AI-Aided Support\" \/><\/div><figcaption class=\"vc_figure-caption\">AI-Aided Support<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734169162466 vc_row-o-content-bottom vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"1226\" height=\"502\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/Data-Validation-Annotation.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Data Validation &amp; Annotation\" \/><\/div><figcaption class=\"vc_figure-caption\">Data Validation &amp; Annotation<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734168902943\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Discussion &amp; Result<\/strong><br \/>\nThe Medical Image Analysis activity is performed repeatedly, leading to several problem points: The doctor&#8217;s ability to focus decreases as the number of cases handled increases. The accumulation of cases creates waiting times, preventing patients from receiving prompt treatment.<\/p>\n<p>AI analysis can assist the radiology field by providing a second opinion on diseases, information obtained more quickly, and information provided in a complete and comprehensive manner<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734168902943\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Proposed Solution<\/strong><\/p>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"869\" height=\"467\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/Proposed-Solution.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Proposed Solution\" \/><\/div>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1734168902943\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><strong>Conclusion<\/strong><br \/>\nThe prototype of the automation of AI analysis report generation on DICOM storage was successfully implemented. The implementation was carried out by combining and integrating the work of Orthanc and AI with the LLaVA-Med model. All functional requirements that had been set were successfully achieved by the system. This result indicates that the needs of radiologists can be met, and by developing and implementing this prototype, radiologists can be helped to perform analysis. The benefits obtained by helping doctors are that the analysis results can be obtained quickly and accurately so that patient care can be carried out faster and more precisely.<\/p>\n<p>This research is supported by PPMI Program and Smart City &amp; Community Innovation Center<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Kembali ke Beranda Prof. Suhono Harso Supangkat STE-ITB Gitarja Sandi STEI-ITB Arga Daniel Reynardo Samosir STEI-ITB Alya Apriliyanti STEI-ITB Abstract Teleradiology, as part of this advancement, allows radiological images such [...]","protected":false},"author":1,"featured_media":0,"parent":22933,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-23088","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/23088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/comments?post=23088"}],"version-history":[{"count":4,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/23088\/revisions"}],"predecessor-version":[{"id":23563,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/23088\/revisions\/23563"}],"up":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/pages\/22933"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=23088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}