Description
This collection features curated works from the AIME 2019 workshops, showcasing cutting-edge advancements in artificial intelligence as applied to the medical field. Each paper dives into innovative methods of knowledge representation and emphasizes the importance of transparency and explainability in AI systems.
Contributors from various backgrounds, including computer science and medicine, come together to explore complex topics like health care applications and the development of explainable algorithms. Their collective insights aim to bridge the gap between technology and clinical practice, fostering a deeper understanding of how AI can enhance medical decision-making while ensuring ethical and responsible use.
Contributors from various backgrounds, including computer science and medicine, come together to explore complex topics like health care applications and the development of explainable algorithms. Their collective insights aim to bridge the gap between technology and clinical practice, fostering a deeper understanding of how AI can enhance medical decision-making while ensuring ethical and responsible use.
Book Details
Format
Kindle
Pages
309 pages
Language
English
Published
Jan 3, 2020
Publisher
Springer