Utilization of Digital Imaging in Healthcare: A Literature Review
DOI:
https://doi.org/10.53089/medula.v16i3.2028Keywords:
Artificial intelligence, digital imaging, medical diagnosis, healthcare, technologyAbstract
The development of digital technology has driven significant transformation in healthcare, particularly through the utilization of digital imaging. The application of digital imaging in healthcare includes disease diagnosis, radiological analysis, early disease detection, identification of herbal medicinal plants, patient monitoring, telemedicine, and the development of Artificial Intelligence (AI)-based healthcare systems to enhance the accuracy and efficiency of medical services. This study examined the utilization of digital imaging in healthcare based on various relevant studies. The method used in this study was a literature review conducted by collecting and analyzing national and international scientific articles related to digital image processing in healthcare. The results of the literature review indicate that digital imaging plays an important role in improving the effectiveness of diagnosis, medical analysis, and telemedicine services. Artificial Intelligence (AI) technologies, particularly deep learning and Convolutional Neural Networks (CNN), have demonstrated high accuracy in medical image processing, while image compression technology improves the efficiency of medical data transmission. However, its implementation still faces several challenges, including limitations in technological infrastructure, image quality, internet connectivity, and patient data security. Therefore, the development of digital imaging technology in healthcare needs to be continuously improved to support a more optimal healthcare system.
Keywords: artificial intelligence, digital imaging, medical diagnosis, healthcare, technology
References
Pinasthika SJ. Aplikasi Pembelajaran Mesin dalam Pengolahan Data Citra untuk Bidang Medis: Sebuah Kajian Pustaka. Journal of Information Engineering and Technology (JIETY). 2024;2(1):1-16
Sari NP. Analisis Performa Algoritma CNN dalam Klasifikasi Citra Medis Berbasis Deep Learning. Jurnal Komputer. 2024;2(2):87-92.
Riadi AA, Chamid AA, Sokhibi A. Analisis komparasi metode perbaikan kontras berbasis histogram equalization pada citra medis. Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer. 2017;8(1):383-388.
Apriadi D, Sarif MI. Optimasi Algoritma Pengolahan Citra Digital Menggunakan Metode Pembelajaran Mesin untuk Deteksi Penyakit. Journal of Data Science and Informatics Engineering. 2025;1(1):31-37.
Karyadiputra E, Setiawan A, Hijriana N. Deteksi Pneumonia Dari Citra X-Ray Menggunakan Cnn Densenet201. Technologia: Jurnal Ilmiah. 2026;17(1):57-64.
Rudiansyah R, Iryani L, Kesuma LI, Sari P, Alamsyah A. Combination of image enhancement and u-net architecture for cervical cell semantic segmentation. Journal of Informatics and Telecommunication Engineering. 2024;7(2):575-586.
Kurniawan M, Meiriyama M. Deteksi Malaria dari Citra Sel Darah Menggunakan CNN dengan Metode EfficientNetB0 dibandingkan dengan ResNet50. JATI (Jurnal Mahasiswa Teknik Informatika). 2026;10(1):667-677.
Rahayu MI, Jaenal R, Risyandi MH. Identifikasi tanaman obat herbal berbasis citra. Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi. 2023;12(2):57-63.
Jamil M, Khairan A, Fuad A. Implementasi aplikasi telemedicine berbasis jejaring sosial dengan pemanfaatan teknologi cloud computing. JEPIN (Jurnal Edukasi dan Penelitian Informatika). 2015;1(1).
Syifa Rizqi PM, Hannari MI, Dewi S, Alvionita E, Shafira AD, Purba SH. Literatur review: Transformasi layanan kesehatan melalui telemedicine: Peluang dan tantangan di era digital. Jurnal Kesehatan Tambusai. 2025;6(1):699–707
Adinda AS, Jamal N. Peran Teknologi Digital Telemedicine dalam Meningkatkan Kualitas Pelayanan Kesehatan Masyarakat. ARDHI: Jurnal Pengabdian Dalam Negri. 2025;3(4):84-93.
Idris M, Wijaya A, Septiani L, Happy TA, Graharti R. Pemanfaatan Kecerdasan Buatan sebagai Alat Bantu Diagnosis di Bidang Kesehatan: Literatur Review. Jurnal Kedokteran Universitas Lampung. 2025;9(1):117-21.
Ariawan MP, Subiksa GB, Adisimakrisna PI. Analisis perbandingan metode DCT dengan DWT pada citra medis. Jurnal Teknologi Informasi Dan Komputer. 2022;8(4).
Murtas F, Landoni V, Ordòñez P, Greco L, Ferranti FR, Russo A, Perracchio L, Vidiri A. Clinical-radiomic models based on digital breast tomosynthesis images: a preliminary investigation of a predictive tool for cancer diagnosis. Front Oncol. 2023;13:1152158
Leonard CR, Nurtanio I, Bustamin A. Systematic Literature Review: Deep Learning Pada Citra Sinar-X Paru Untuk Klasifikasi Penyakit. Techno. com. 2024;23(3)
Hidayat T, Dama DM, Irmanti KS. Analisis Komparatif Metode Peningkatan Kualitas Citra Digital untuk Deteksi Area Tubercoluma pada Citra MRI. J-Innovation. 2024 ;13(2) :72-7
Putri MR, Putra AF, Husna A, Jaya AK, Rifqi MA. Identifikasi Status Stunting menggunakan Metode Klasifikasi Pemrosesan Citra: Systematic Literature Review. Journal of Computer and Information System (J-CIS). 2025;8(1):44-50.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Medical Profession Journal of Lampung
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
