Publisher's Synopsis
AI for Healthcare: How Machine Learning is Transforming Medicine and Diagnosis is an insightful guide to understanding how artificial intelligence (AI) and machine learning (ML) are revolutionizing the healthcare industry. From improving diagnostic accuracy to enabling personalized treatment and advancing medical research, this book covers how AI is shaping the future of medicine and healthcare.
Whether you're a healthcare professional, researcher, or tech enthusiast, this book will provide you with the knowledge of how AI-powered technologies are enhancing patient care, speeding up drug discovery, and offering new possibilities in medical imaging, predictive analysis, and precision medicine.
Inside, you'll discover:
- Introduction to AI in Healthcare: Learn about the fundamentals of AI and ML, and how these technologies are being applied in healthcare to improve efficiency, reduce errors, and enhance outcomes.
- Machine Learning in Diagnosis: Explore how machine learning algorithms are being used to diagnose diseases such as cancer, diabetes, and heart conditions with greater accuracy than traditional methods. Learn how predictive models are helping in early disease detection.
- AI in Medical Imaging: Dive into the world of AI-powered imaging technologies like CT scans, MRIs, and X-rays. Learn how AI systems help doctors analyze medical images, identify abnormalities, and assist in precise diagnosis.
- Personalized Treatment: Discover how AI and ML enable personalized treatment plans, using patient data to tailor therapies based on genetic, lifestyle, and medical factors, optimizing treatment outcomes.
- AI in Drug Discovery: Learn how machine learning accelerates drug discovery by identifying promising compounds, predicting their effectiveness, and analyzing large datasets to speed up clinical trials.
- Clinical Decision Support Systems: Understand how AI-powered clinical decision support systems (CDSS) are helping healthcare providers make data-driven decisions, improving patient care and reducing the risk of human error.
- Health Data and Predictive Analytics: Explore how AI is used to analyze large volumes of healthcare data, including electronic health records (EHRs), to predict patient outcomes, manage chronic conditions, and improve population health.
- Ethical and Regulatory Challenges: Examine the ethical implications and regulatory challenges of using AI in healthcare, such as data privacy, algorithm bias, and patient consent.
By the end of this book, you'll have a deep understanding of how AI and machine learning are transforming the healthcare industry, enabling more accurate diagnoses, personalized treatments, and groundbreaking advances in medical research.
