Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics

Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics

<h3>Background</h3><p dir="ltr">Artificial intelligence (AI) is transforming dermatopathology by enhancing diagnostic accuracy, efficiency, and precision medicine. Despite its promise, challenges such as dataset biases, underrepresentation of diverse populations, and limi...

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Bibliographic Details
Main Author: Diala Ra'Ed Kamal Kakish (22330627) (author)
Other Authors: Jehad Feras AlSamhori (17746809) (author), Andy Noel Ramirez Fajardo (22330630) (author), Lana N. Qaqish (22330633) (author), Layan Ahmed Jaber (22330636) (author), Rawan Abujudeh (22330639) (author), Mohammad Hathal Mahmoud Al‐Zuriqat (22330642) (author), Amina Yahya Mohammed (22330645) (author), Abdulqadir J. Nashwan (11659453) (author)
Published: 2025
Subjects:
Health sciences
Health services and systems
Philosophy and religious studies
Applied ethics
artificial Intelligence in dermatopathology
diagnostic bias
explainable AI (XAI)
multimodal diagnostics
precision medicine
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