LLMs and generative AI for healthcare
O'Reilly Media (Verlag)
978-1-0981-6092-0 (ISBN)
Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.
Authors Kerrie Holley and Manish Mathur from Google's Healthcare and Life Sciences Industry team help you explore real-world applications of these technologies in healthcare, from personalized patient care and drug discovery to enhanced medical imaging and robot-assisted surgeries. You'll also learn the challenges of using these technologies-and the ethical implications of their application in this field.
With this book, you will:
Learn how LLMs and generative AI can help address and transform healthcare issues
Explore the basics of LLMs and generative AI and learn how they work
Learn how these technologies are being applied in healthcare today
Understand several LLM and generative AI use cases
Examine the ethics and challenges of applying LLMs and generative AI to healthcare
Understand the potential use of LLMs and generative AI in healthcare in the near term and their prospects for the future
Kerrie Holley is currently the Director, Healthcare and Life sciences Industry Solutions, Google Cloud. Prior to this position, Kerrie joined United Health Group (UHG), Optum, as their first Technology Fellow and Senior Vice President focused on advancing and applying several technologies like artificial intelligence, deep learning, natural language processing and ambient computing. Kerrie spent the bulk of his career at IBM where he was an IBM Fellow, Master Inventor and now IBM Fellow [Emeritus]. His last assignment with IBM Research. He was IBM's first African American Distinguished Engineer. He is fond of appearing on ABC News and a TED talk to discuss IBM's Watson the day after its historic debut on Jeopardy! Manish Mathur is a seasoned professional with over 25 years of experience in the intersection of healthcare and technology. In his current role as a Senior Principal Architect at Google, he advises payers, providers, and life sciences customers on how to leverage Google's state-of-the-art AI technologies to solve their complex business problems and build new business models. Prior to joining Google, Manish was with Johnson & Johnson, where he led a global team of data, analytics, and AI professionals. Their collective efforts were dedicated to tackling intricate obstacles pertaining to drug discovery and commercialization, challenges that are commonly encountered by prominent pharmaceutical corporations on a global scale. At Walgreens, Manish spearheaded the creation of a sophisticated technological solution aimed at seamlessly integrating healthcare management within the accessible and convenient framework of retail environments. Manish's earlier professional experiences encompass significant roles at institutions such as the American Medical Association and Deloitte Consulting. Manish is a recognized expert in the field of healthcare technology and has published extensively on the topic. He is a frequent speaker at industry events and is a member of several professional organizations. Manish is passionate about using technology to improve the quality of healthcare and is committed to helping organizations leverage AI to solve their most pressing challenges. Manish received his Bachelor's degree in Electrical Engineering from Jadavpur University, Kolkotta and Masters in International Business from Delhi School of Economics in India and MBA from University of Hartford, CT In his spare time, Manish enjoys spending time with his family and friends, traveling, and playing golf.
| Erscheinungsdatum | 03.09.2024 |
|---|---|
| Reihe/Serie | Animals |
| Zusatzinfo | Illustrationen |
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-0981-6092-4 / 1098160924 |
| ISBN-13 | 978-1-0981-6092-0 / 9781098160920 |
| Zustand | Neuware |
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