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All Journal Jurnal Komputer Indonesia
Febriani, Rizki Annisa
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Computer Science & IT

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Utilization Of Artificial Intelligence In Image-Based Medical Diagnosis Febriani, Rizki Annisa
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.567

Abstract

Artificial Intelligence (AI) has become one of the most revolutionary technologies in the medical field, especially in image-based diagnostics. This research aims to explore the utilization of AI, particularly through deep learning and Convolutional Neural Networks (CNN), in improving the accuracy and efficiency of medical diagnosis systems. This research uses a literature study approach and prototype implementation to analyze how AI can support doctors in making faster and more informed clinical decisions. The results show that AI is able to improve the accuracy of diagnoses as well as reduce human errors in medical image analysis.
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