<![CDATA[The development of Artificial Intelligence (AI)—specifically image-based computer vision—has significantly contributed to modern medical practice by enabling more accurate and efficient medical image analysis. However, understanding and practical skills regarding the implementation of computer vision within community and educational settings remain relatively limited. This community service initiative aimed to enhance participants' conceptual understanding and foundational skills in applying image-based computer vision to medical contexts through a hands-on learning approach. The program was conducted via an integrated workshop that combined theoretical instruction with practical exercises using the cloud-based platform Google Colab. Evaluation was carried out using pre- and post-tests alongside practical assessments. Results showed an increase in participants' understanding, with the average score rising from 54.2 to 82.6 (a 52.4% improvement). Notably, 85% of participants were able to execute image processing modules independently, and 88% successfully completed the practical case study. Participant satisfaction reached a score of 4.6 out of 5. This initiative contributes to improving technological literacy and bridging the gap between conceptual understanding and practical competence in the application of AI within the healthcare sector.]]>
Copyrights © 2026
