Introduction to Artificial Intelligence for Clinicians
portes grátis
Introduction to Artificial Intelligence for Clinicians
A Practical Guide to Clinical AI for Healthcare Professionals
Liu, Xiaoxuan; O'Byrne, Ciara; Keane, Pearse A; Hogg, Jeffry; Denniston, Alastair
Elsevier Science Publishing Co Inc
03/2024
300
Mole
Inglês
9780443194115
15 a 20 dias
Descrição não disponível.
1. An Introduction to Artificial Intelligence
2. The History of Artificial Intelligence
3. Deep Learning - A Conceptual Framework
4. A Primer on Medical Statistics
5. How to Critically Evaluate the Clinical AI Literature
6. How to Start Your Own Clinical AI Research Project
7. Training a Deep Learning Model
8. Validation of an AI System
9. Implementation Science and AI
10. Challenges and Limitations of Artificial Intelligence
11. The Future Directions of Artificial Intelligence
2. The History of Artificial Intelligence
3. Deep Learning - A Conceptual Framework
4. A Primer on Medical Statistics
5. How to Critically Evaluate the Clinical AI Literature
6. How to Start Your Own Clinical AI Research Project
7. Training a Deep Learning Model
8. Validation of an AI System
9. Implementation Science and AI
10. Challenges and Limitations of Artificial Intelligence
11. The Future Directions of Artificial Intelligence
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence,; deep learning; machine learning; automated deep learning; code free deep learning; healthcare; medical imaging
1. An Introduction to Artificial Intelligence
2. The History of Artificial Intelligence
3. Deep Learning - A Conceptual Framework
4. A Primer on Medical Statistics
5. How to Critically Evaluate the Clinical AI Literature
6. How to Start Your Own Clinical AI Research Project
7. Training a Deep Learning Model
8. Validation of an AI System
9. Implementation Science and AI
10. Challenges and Limitations of Artificial Intelligence
11. The Future Directions of Artificial Intelligence
2. The History of Artificial Intelligence
3. Deep Learning - A Conceptual Framework
4. A Primer on Medical Statistics
5. How to Critically Evaluate the Clinical AI Literature
6. How to Start Your Own Clinical AI Research Project
7. Training a Deep Learning Model
8. Validation of an AI System
9. Implementation Science and AI
10. Challenges and Limitations of Artificial Intelligence
11. The Future Directions of Artificial Intelligence
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
