Artificial intelligence for medicine : an applied reference for methods and applications /

"Introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and t...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Ben-David, Shai (Editor), Curigliano, Giuseppe (Editor), Koff, David (David A.) (Editor), Jereczek-Fossa, Barbara Alicja (Editor), La Torre, Davide (Editor), Pravettoni, Gabriella (Editor)
Format:	eBook
Language:	English
Published:	London : Academic Press, an imprint of Elsevier, [2024]
Series:	Advanced studies in complex systems.
Subjects:	Artificial intelligence > Medical applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. Artificial intelligence in cancer research and precision medicine
2. Machine learning in computational pathology through self-supervised learning and vision transformers
3. Artificial intelligence in small-molecule drug delivery
4. AI/ML and drug repurposing in lung cancer: State of the art and potential roles for retinoids
5.Artificial intelligence and digital worlds: New frontiers of integration between AI and other technological tools
6. The dual path of the technology acceptance model: An application of machine learning cardiotocography in delivery rooms
7. Artificial intelligence in diagnostic and predictive pathology
8. Artificial intelligence in the oncology workflow: Applications, limitations, and future perspectives
9. SOK: Application of machine learning models in child and youth mental health decision-making
10. Cancer detection in hyperspectral imagery using artificial intelligence: Current trends and future directions
11. Global research trends of Artificial Intelligence and Machine Learning applied in medicine: A bibliometric analysis (2012-2022)
12. Ethics and regulations for AI in radiology
13. The role of artificial intelligence in radiology and interventional oncology
14. The multiomics revolution in the era of deep learning: Allies or enemies?
15. Artificial intelligence in behavioral health economics: Considerations for designing behavioral studies
16. Artificial intelligence and medicine: A psychological perspective on AI implementation in healthcare context
17. AI for outcome prediction in Radiation Oncology: The present and the future
18. Artificial intelligence in neurologic disease
19. Should I trust this model? Explainability and the black box of artificial intelligence in medicine.