The Evolution of Artificial Intelligence in Healthcare: From Basic Methods to Clinical Practice explores revolutionary technological advancements in the medical and healthcare realms due to generative AI and Deep Learning. This comprehensive guide not only explores cutting-edge technologies such as transformers and large language models for newcomers but also demystifies advanced applications like sequential decoding techniques and segmentation algorithms rarely explored in other literature. Sections cover foundational concepts and terminologies, explore deep learning and generative AI, provide AI's role in biomedical research, examine its integration into clinical practice, scrutinize its applications in public health, and discuss challenges and future prospects.
This is an indispensable resource for healthcare professionals, scientists, researchers, students, and enthusiasts seeking to deepen their understanding of this rapidly evolving field.
- Demonstrates the main opportunities of using AI in clinical practice and biomedical research
- Gives insights into the main challenges and risks of using AI in clinical practice and biomedical research
- Provides specific requirements for AI systems to be used in biomedical research and clinical practices
- Demonstrates legal and ethical aspects of AI systems
