The survival rate of lung cancer relies significantly on how far the disease has spread when
it is detected, how it reacts to the treatment, the patient's overall health, and other factors …

This paper explores the potential of deep learning in dental radiology, particularly in disease
detection, image segmentation, and treatment planning. CNNs have been successful in …

Neural networks are the state-of-the-art approach for many tasks and the activation function
is one of the main building blocks that allow such performance. Recently, a novel …

This research explores the utilization of Deep Learning (DL) in developing edible antennas,
focusing on a smart pill for gastrointestinal health monitoring. DL techniques are applied to …

This research explores the integration of privacy-preserving federated learning techniques
in the context of biomedical image analysis within the metaverse. The metaverse, a virtual …

Amaç: Araştırmada hemşirelik öğrencilerinin yapay zekâ ürünlerinin ortaya çıkması ve
kullanıma sunulması ile ilgili kaygı durumlarını belirlemek amaçlandı. Gereç ve Yöntem: Bu …

Struggles with medical errors and harm have been widely associated with unsafe
medication practices, particularly in unsafe care. While this topic has been widely studied …

Currently, the art of flower arrangement plays a significant role in both personal life and
collective work. However, for non-professionals, creating flower arrangements with high …

Aim: The study aimed to determine the anxiety of nursing students about the emergence and
use of artificial intelligence products. Material and Method: The data of this descriptive and …