Decoding artificial intelligence physicians par samajdar shambo (12 résultats)

Etat : New. pp. 150.

Etat : New. pp. 150 First Edition NO-PA16APR2015-KAP.

Paperback. Etat : New. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.…

Paperback. Etat : Good. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle. This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights. The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings. Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care. The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.…

Paperback. Etat : Good. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle. This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights. The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings. Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care. The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.…

Paperback. Etat : new. Paperback. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding. This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights. Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care. The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Taschenbuch. Etat : Neu. Neuware.

Paperback. Etat : new. Paperback. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding. This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights. Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care. The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : New. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.…