Artificial Intelligence in Clinical Medicine
General Concepts and Specific Applications
- 1st Edition - March 1, 2027
- Latest edition
- Editors: Marianne Legato J, Michael Schmidt A
- Language: English
Artificial Intelligence in Clinical Medicine: General Concepts and Specific Applications explores the evolution and application of artificial intelligence (AI) in medicine, highli… Read more
Description
Description
Artificial Intelligence in Clinical Medicine: General Concepts and Specific Applications explores the evolution and application of artificial intelligence (AI) in medicine, highlighting both its potential and challenges. The initial discussion outlines past failures in integrating AI into healthcare, followed by a review of FDA-approved AI medical devices and their implications for diagnostics. Subsequent sections examine the transformative impact of large language models, the ethical application of AI in clinical settings, and the role of AI in enhancing patient safety. Various specialties, such as cardiology and pulmonary disease, illustrate AI's capabilities in improving diagnostics and treatment. The discussions extend to diabetes care, dermatology, obstetrics, and radiology, emphasizing the need for ethical considerations and quality assessments to ensure AI aligns with human values and improves patient outcomes across diverse healthcare contexts.
Key features
Key features
- Describes the artificial intelligence in medicine, including its applications, challenges, ethical considerations, and potential to enhance patient care across various healthcare specialties
- Provides in-depth examinations of AI's impact across various medical specialties, such as cardiology, pulmonary disease, diabetes, and dermatology
- Offers industry Insights into the latest advancements in AI technologies, including large language models and digital twins, and their implications for diagnostics and treatment
Readership
Readership
Health care professionals and clinicians who is interested in understanding the current power of AI as it relates to clinical medicine and who is considering adopting an AI resource in the course of clinical practice and/or in administrative or operational aspects of his/her practice
Table of contents
Table of contents
PART I Introduction
1. The History of AI in Medicine
2. Classic AI Models in Medicine
3. Microsoft Research
4. Injecting AI in Clinical Medicine
5. AI-driven Medicine in Practice – Successes and Challenges
6. Medical AI to Improve Patient Safety and Diagnostic Excellence
PART II AI in Cardiology
7. Artificial Intelligence: Revolutionizing Cardiology with Large Language Models
8. AI in Cardiovascular Imaging and Intervention
9. The Role of AI-ECG in Early Detection, Diagnosis and Prognosis of CVD
10. Digital Twins: Translation from Research into Clinical Practice
PART III AI in Pulmonary Disease
11. Artificial Intelligence in Chronic Obstructive Pulmonary Disease
12. From Bioinformatics to Artificial Intelligence (AI): Can AI Help Prevent, Diagnose, Define and Treat the Heterogeneous Chronic Disease of Asthma?
PART VI AI in Diabetes
13. AI in Intensive Care, Leo Celi MD, MSc, MPH. Associate Professor of Medicine, Harvard Medical School, Senior Research Scientist, Massachusetts Institute of Technology
14. Implications of using AI-Driven Clinical Decision Support Systems (CDSS) in diabetes care (and cure)
15. What Should AI-CDSS Deliver in Diabetes Care?
16. Digital Technology for Diabetes Can Type 1 Diabetes Be Successfully Managed by AI?
PART V AI in Selected Subspecialties
17. Extant AI Use Cases in Selected Medical Specialties: AI Use Cases in Dermatology
18. AI Use in Obstetrics in Resource Rich and Poor Settings
19. AI Use in Radiology
20. The Use of AI in Epilepsy
21. The Transformative Potential of Artificial Intelligence in Managing Depression
22. Principles of Assessing the Quality and Validity of AI Tools for Clinical Adoption
23. AI and Gender
24. Biodigital Twins: A Tool for Research, Prediction, Training and Clinical Decision Support
25. Medical Artificial Intelligence and Human Values
PART VI Conclusion
1. The History of AI in Medicine
2. Classic AI Models in Medicine
3. Microsoft Research
4. Injecting AI in Clinical Medicine
5. AI-driven Medicine in Practice – Successes and Challenges
6. Medical AI to Improve Patient Safety and Diagnostic Excellence
PART II AI in Cardiology
7. Artificial Intelligence: Revolutionizing Cardiology with Large Language Models
8. AI in Cardiovascular Imaging and Intervention
9. The Role of AI-ECG in Early Detection, Diagnosis and Prognosis of CVD
10. Digital Twins: Translation from Research into Clinical Practice
PART III AI in Pulmonary Disease
11. Artificial Intelligence in Chronic Obstructive Pulmonary Disease
12. From Bioinformatics to Artificial Intelligence (AI): Can AI Help Prevent, Diagnose, Define and Treat the Heterogeneous Chronic Disease of Asthma?
PART VI AI in Diabetes
13. AI in Intensive Care, Leo Celi MD, MSc, MPH. Associate Professor of Medicine, Harvard Medical School, Senior Research Scientist, Massachusetts Institute of Technology
14. Implications of using AI-Driven Clinical Decision Support Systems (CDSS) in diabetes care (and cure)
15. What Should AI-CDSS Deliver in Diabetes Care?
16. Digital Technology for Diabetes Can Type 1 Diabetes Be Successfully Managed by AI?
PART V AI in Selected Subspecialties
17. Extant AI Use Cases in Selected Medical Specialties: AI Use Cases in Dermatology
18. AI Use in Obstetrics in Resource Rich and Poor Settings
19. AI Use in Radiology
20. The Use of AI in Epilepsy
21. The Transformative Potential of Artificial Intelligence in Managing Depression
22. Principles of Assessing the Quality and Validity of AI Tools for Clinical Adoption
23. AI and Gender
24. Biodigital Twins: A Tool for Research, Prediction, Training and Clinical Decision Support
25. Medical Artificial Intelligence and Human Values
PART VI Conclusion
Product details
Product details
- Edition: 1
- Latest edition
- Published: March 1, 2027
- Language: English
About the editors
About the editors
ML
Marianne Legato J
Dr. Marianne Legato, Emerita Professor of Clinical Medicine at Columbia University, is an internationally known academic physician, author, lecturer, and specialist in gender-specific medicine. She is founding member of the International Society for Gender Medicine and the founder and director of The Partnership for Gender-Specific Medicine at Columbia University and its next iteration, The Foundation for Gender-Specific Medicine. She has published extensively on gender and sex specific medicine, both for the scientific community and for the lay public. She is also the founding editor of the Journal Gender Medicine, and the journal Gender and the Genome. In 1992, Dr. Legato won the American Heart Association’s Blakeslee Award for the best book written for the lay public on cardiovascular disease. The third edition of her textbook, Principles of Gender-Specific Medicine and her most recent book, The Plasticity of Sex., both won Prose awards from the American Association of Editors in 2021 and 2022 respectively. She is a practicing internist in New York City and has been listed each year in New York Magazine and Castle Connolly’s lists "Best Doctors" since their inception in 1993.
Affiliations and expertise
Emerita Professor, Clinical Medicine, Columbia University College of Physicians & Surgeons and Adjunct Professor, Medicine at Johns Hopkins Medical SchoolMS
Michael Schmidt A
Dr. Michael A. Schmidt is the CEO and Chief Scientific Officer of Sovaris Aerospace. He is a leader in precision medicine applied to humans operating in extreme environments on Earth and in space. Dr. Schmidt has three decades of experience working with elite performers in extreme environments including astronauts, military Special Forces, NFL, NBA, Olympic athletes, military aviators, and others. This includes his early research within NASA’s Human Systems Integration Division. Dr. Schmidt is the President of the Human Research Program for Civilian Spaceflight and is the former President of the Life Sciences and Biomedical Engineering Branch (LSBEB) of the Aerospace Medical Association. His molecular work in space is highlighted in a special 2024 issue of Nature entitled, “Space Omics.” His recent innovations include the Astronaut Digital Twin. Dr. Schmidt is the 2019 winner of the Research & Development Innovation Award from the Life Sciences and Biomedical Engineering Branch of the Aerospace Medical Association. He is the 2020 recipient of the Marie Marving Award for Excellence in Aerospace Medicine from the Aerospace Medical Association.
Affiliations and expertise
CEO and Chief Scientific Officer of Sovaris Aerospace, USA; President, Human Research Program for Civilian Spaceflight, USA