Pattern Recognition System for Automating Medical Diagnosis Based on Image Data
Article Sidebar
-
convolutional neural networks, deep learning, image data, medical diagnosis, pattern recognition
Abstract
The increasing volume and complexity of medical image data have presented significant challenges for healthcare professionals in delivering timely and accurate diagnoses. Traditional diagnostic processes are often time-consuming and prone to human error, underscoring the need for automated solutions. This study aims to develop a pattern recognition system to automate medical diagnosis using image data, thereby improving diagnostic accuracy and efficiency. A hybrid methodology was employed, combining image preprocessing, feature extraction using convolutional neural networks (CNNs), and classification through deep learning algorithms. The system was trained and validated using publicly available medical image datasets across various disease types. The results demonstrate high diagnostic accuracy, with the system achieving over 92% precision in identifying disease patterns from image inputs. Furthermore, the model exhibited robustness across different imaging modalities, such as X-rays, MRIs, and CT scans. These findings suggest that the proposed pattern recognition system can serve as a reliable support tool for medical practitioners. In conclusion, the integration of image-based pattern recognition in medical diagnostics holds significant promise in enhancing clinical decision-making processes and reducing diagnostic errors.
Full text article
References
Addissouky, T. A. (2025). Advancing frontiers in skin offensive odor management: from innovative diagnostics to cutting-edge treatments and emerging technologies. Archives of Dermatological Research, 317(1). https://doi.org/10.1007/s00403-025-03929-1
Bensoussan, M., Vannier, M., Loeb, T., Boutet, J., Lapostolle, F., & Reuter, P.-G. (2025). Correction: Factors affecting communication time in an emergency medical communication centers (Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, (2025), 33, 1, (6), 10.1186/s13049-024-01315-w). Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 33(1). https://doi.org/10.1186/s13049-025-01356-9
Carcamo, P., Walter, E., Frei, C. R., Yang, L., Cadena, J., & Hopkins, T. (2025). A comparison of empiric therapy with cefazolin versus ceftriaxone for patients with complicated urinary tract infections in a tertiary care veterans affairs medical center. BMC Infectious Diseases, 25(1). https://doi.org/10.1186/s12879-025-10494-5
De Meyer, F., Chambaere, K., Van de Velde, S., Van Assche, K., Beernaert, K., & Sterckx, S. (2025). Factors influencing obstetricians’ acceptance of termination of pregnancy beyond the first trimester: a qualitative study. BMC Medical Ethics, 26(1), 32. https://doi.org/10.1186/s12910-025-01186-5
Inam, S., Kanwal, S., Batool, M., Al-Otaibi, S., & Jamjoom, M. M. (2025). A blockchain-integrated chaotic fractal encryption scheme for secure medical imaging in industrial IoT settings. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-89604-x
Karume, A. K., Sugut, J., Sankei, P., Kimathi, P. M., Guleid, A., Kimonge, D., Ebert, E., Wanjiku, G., Myers, J. G., & Beck, A. (2025). Improvement in clinician confidence in and knowledge of Diabetic Ketoacidosis management following a case-based curriculum in Kenya. BMC Medical Education, 25(1). https://doi.org/10.1186/s12909-025-06898-1
Mishra, S., Das, H., Mohapatra, S. K., Khan, S. B., Alojail, M., & Saraee, M. (2025). A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-024-74847-x
Mukai, N., Takeichi, Y., Yoshikawa, Y., Tajiri, K., & Kida, T. (2025). A case of a child with anterior blepharitis caused by Candida albicans: a case report. Journal of Medical Case Reports , 19(1). https://doi.org/10.1186/s13256-025-05129-x
Neeki, M. M., Dong, F., Tran, L., Malkoc, A., Kim, J., Neeki, S. C., Patel, S., Senewiratne, N. L., Ma, M., Wong, C., Borger, R., & Wong, D. (2025). A comparison of outcomes between transferred patients versus patients who presented directly to the emergency department with necrotizing fasciitis. International Journal of Emergency Medicine, 18(1). https://doi.org/10.1186/s12245-025-00848-w
Nieser, K. J., Harris, A. H. S., Binswanger, I. A., Clark, S. C., & Finlay, A. K. (2025). Legal-involved veterans are less likely to receive guideline-concordant colorectal cancer screening. BMC Health Services Research, 25(1), 333. https://doi.org/10.1186/s12913-025-12490-6
Peninah, A., Olivia, N., Andabati, C. D., Euniky, M., & Tracy, N. (2025). Determinants of knowledge, attitudes, and practice towards sickle cell disease in Alebtong district, Lango region, Northern Uganda. BMC Public Health, 25(1). https://doi.org/10.1186/s12889-025-22042-6
Pourjahanshah, D., Nekouei, A. H., Kakoei, S., & Haghdoost, A. (2025). Estimating the cut-off point of Xerostomia Inventory questionnaire score to diagnose dry mouth based on non-stimulating saliva test: a diagnostic sensitivity and specificity study. BMC Oral Health, 25(1). https://doi.org/10.1186/s12903-025-05576-4
Qian, J., Zhang, H., Guo, A., Fu, Q., Shi, J., Jin, H., & Yu, D. (2025). Distribution characteristics of mental disorders in community health service center: based on outpatient data from 2014—2022 in Shanghai, China. BMC Psychiatry, 25(1). https://doi.org/10.1186/s12888-025-06656-z
Rahmati, R., Zarimeidani, F., Ahmadi, F., Yousefi-Koma, H., Mohammadnia, A., Hajimoradi, M., Shafaghi, S., & Nazari, E. (2025). Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-91007-x
Rajalakshmi, R., PramodKumar, T. A., Dhara, A. K., Kumar, G., Gulnaaz, N., Dey, S., Basak, S., Shankar, B. U., Goswami, R., Mohammed, R., Manikandan, S., Mitra, S., Thethi, H., Jebarani, S., Mathavan, S., Sarveswaran, T., Anjana, R. M., Mohan, V., Ghosh, S., … Raman, R. (2025). Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-91941-w
Ranjan, S., Tripathi, A., Shende, H., Badal, R., Kumar, A., Yadav, P., Joshi, D., & Kumar, L. (2025). Deep learning-based classification of dementia using image representation of subcortical signals. BMC Medical Informatics and Decision Making, 25(1). https://doi.org/10.1186/s12911-025-02924-w
Saggar, R., Mhaskar, V. A., & Bansal, R. (2025). Correction to: Arthroscopic ACL repair with suture tape augmentation: clinical, functional, and gait analysis outcomes at minimum 3-year follow-up (European Journal of Orthopaedic Surgery & Traumatology, (2024), 35, 1, (39), 10.1007/s00590-024-04161-9). European Journal of Orthopaedic Surgery and Traumatology, 35(1). https://doi.org/10.1007/s00590-025-04235-2
Saniee, N., Motamed, S., Barati, M., Goodarzi, F., Hassanzadeh, G., Kohpayehzadeh, J., Ezati, E., & Khazaei, A. (2025). Components of social accountability in medical education: a scoping review. BMC Medical Education, 25(1). https://doi.org/10.1186/s12909-025-06873-w
Shashar, S., Zeldetz, V., Shalev, A., Barret, O., Press, Y., Shamia, D., & Punchik, B. (2025). Ethnic disparities in STEMI outcomes among older adults: a comparative study of bedouins and jews. International Journal for Equity in Health, 24(1). https://doi.org/10.1186/s12939-025-02427-0
Stocklassa, S., Block, S., Paal, P., & Elsner, F. (2025). Correction to: “The patient as teacher” - thematic analysis of undergraduate medical students’ experiences with an experiential learning project in palliative care (BMC Palliative Care, (2024), 23, 1, (239), 10.1186/s12904-024-01570-9). BMC Palliative Care, 24(1). https://doi.org/10.1186/s12904-025-01693-7
Thorpe, L. E., Meng, Y., Conderino, S., Adhikari, S., Bendik, S., Weiner, M., Rabin, C., Lee, M., Uguru, J., Divers, J., George, A., & Dodson, J. A. (2025). COVID-related healthcare disruptions among older adults with multiple chronic conditions in New York City. BMC Health Services Research, 25(1), 340. https://doi.org/10.1186/s12913-024-12114-5
Williams, G. S., Koua, E. L., Abdelmalik, P., Kambale, F., Kibangou, E., Nguna, J., Okot, C., Akpan, G., Moussana, F., Kimenyi, J. P., Zaza, R., Carerra, R. M., Rabiyan, Y., Woolhouse, M., Okeibunor, J., & Gueye, A. S. (2025). Evaluation of the epidemic intelligence from open sources (EIOS) system for the early detection of outbreaks and health emergencies in the African region. BMC Public Health, 25(1), 857. https://doi.org/10.1186/s12889-025-21998-9
Xiao, W., Jiang, W., Chen, Z., Huang, Y., Mao, J., Zheng, W., Hu, Y., & Shi, J. (2025). Advance in peptide-based drug development: delivery platforms, therapeutics and vaccines. Signal Transduction and Targeted Therapy, 10(1). https://doi.org/10.1038/s41392-024-02107-5
Authors
Copyright (c) 2025 Evi Irianti, Nina Anis, Saifiullah Aziz
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
