This systematic literature review examines state-of-the-art Explainable Artificial Intelligence
(XAI) methods applied to medical image analysis, discussing current challenges and future …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Early diagnosis of gastrointestinal diseases is crucial for effective treatment and improved
patient outcomes, as delays can significantly impact therapy efficacy. This study utilizes the …

This paper aims to explore the possibility of utilizing vision transformers (ViTs) for on-edge
medical diagnostics by experimenting with the Kvasir-Capsule image classification dataset …

Background: The interpretability and explainability of machine learning (ML) and artificial
intelligence systems are critical for generating trust in their outcomes in fields such as …

Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …

In the culturally and economically vital date palm sector of the Arab world, precise
assessment of fruit maturity, type, and disease is crucial for optimizing yield, quality, and …

This systematic review examines the evolution and current landscape of eXplainable
Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting …

The rise in the emphasis on oral diseases has elevated the need to automate the diagnostic
process of such diseases. Fortunately, the availability of modern computing devices has …

In order to meet the pressing demand for early diagnosis in healthcare, we proposed a
unique hybrid architecture in this study that is intended for the categorization of …