Title

Advancing Medical Diagnostics via Artificial Intelligence: A Simulation-Driven Approach to Disease Detection

Creator

Orfanou, Sofia

Koranis, Athanasios

Tzermpou, Eirini

Abstract

The emergence of artificial intelligence (AI) technology represents a significant breakthrough in the field of medicine. Advanced AI tools such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) enhance diagnostic accuracy, accelerate disease detection, and enable personalized treatment plans. In clinical settings, AI streamlines workflows by automating repetitive tasks, thus allowing healthcare professionals the freedom to focus on patient care. Given the novelty of these models, experts consider the possible challenges in their widespread use, such as AI bias, data availability, interpretability, explainability, patient privacy, as well as external validation and regulatory limitations.

Keywords

predictive modeling

simulation

medical diagnostics

Subject

Biomedical Sciences

Date Available

May 22, 2025

Type

Group Research Project

Course

Deree Science Day 2025

Instructor

Papadopoulou, Paraskevi

Session

Poster Session

Location

Deree Corridor

Event

Year 2025 | 9th Annual Student Research and Creative Arts Symposium