Challenges and Potential of Artificial Intelligence in Neuroradiology
Purpose Artificial intelligence (AI) has emerged as a transformative force in medical
research and is garnering increased attention in the public consciousness. This represents a …
research and is garnering increased attention in the public consciousness. This represents a …
[PDF][PDF] Bridging the Gap Between Black Box AI and Clinical Practice: Advancing Explainable AI for Trust, Ethics, and Personalized Healthcare Diagnostics
DA Tuan - 2024 - preprints.org
Explainable AI (XAI) has emerged as a pivotal tool in healthcare diagnostics, offering much-
needed transparency and interpretability in complex AI models. XAI techniques, such as …
needed transparency and interpretability in complex AI models. XAI techniques, such as …
Identifying biases in a multicenter MRI database for Parkinson's disease classification: Is the disease classifier a secret site classifier?
Sharing multicenter imaging datasets can be advantageous to increase data diversity and
size but may lead to spurious correlations between site-related biological and non-biological …
size but may lead to spurious correlations between site-related biological and non-biological …