Detalles del libro
Formato
Kindle
Páginas
240
Idioma
Inglés
Publicado
Feb 25, 2024
Editorial
Springer
Descripción
The proceedings from the Third International Workshop on Explainable Artificial Intelligence in healthcare reveal fascinating insights and advancements in the intersection of AI and process mining. Engaging contributions from a diverse group of experts provide a comprehensive exploration of how transparent AI models can improve decision-making in the medical field. The collaborative work emphasizes the balance between complex algorithms and the essential need for interpretability, ensuring that practitioners can trust and understand the technology they employ.
Contributors delve into case studies and theoretical frameworks, showcasing practical applications that enhance patient outcomes. As healthcare increasingly integrates advanced technologies, this collection stands out as a vital resource, offering a glimpse into the future where explainable AI leads to more informed clinical practices, ultimately benefitting patients and healthcare providers alike.
Contributors delve into case studies and theoretical frameworks, showcasing practical applications that enhance patient outcomes. As healthcare increasingly integrates advanced technologies, this collection stands out as a vital resource, offering a glimpse into the future where explainable AI leads to more informed clinical practices, ultimately benefitting patients and healthcare providers alike.