Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-34957-6
Verlag: Springer
This contributed volume explores how Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment, and patient management. Various chapters explore AI’s role in medical imaging, predictive analytics, personalized medicine, robotic surgery, virtual assistants, and remote monitoring systems. The volume examines how AI-driven technologies leverage big data to improve accuracy, efficiency, and accessibility in healthcare. Additionally, it addresses the ethical concerns, legal implications, and integration challenges that arise with integrating AI technologies into clinical practice. The discussions in this book provide insight into the impact AI has in reshaping medical research and drug discovery as well as its future potential, particularly in the realms of global health equity, patient outcomes, and the overall advancement of modern medicine. Written for healthcare professionals, researchers, policymakers, and tech enthusiasts, this book is a vital resource for understanding how artificial intelligence is not only changing the practice of medicine but revolutionizing the future of healthcare.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
Weitere Infos & Material
An Explainable AI Framework for Personalized Medication and Diet Planning.- Virtual Assistants and Chatbots: Enhancing Patient Engagements.- Healthcare Treatment Optimization System: An Intelligent Multi-Criteria Decision Support Framework for Personalized Medicine.- Clinical Resource Orchestration: AI-Driven Healthcare Resource Management.- Empowering Clinical Diagnosis with Emotionally Intelligent AI: A Deep Ensemble Framework for Skin Cancer Detection.- Artificial Intelligence and Mental Health: De-Stigmatizing Care through Cognitive and Rational-Emotive Digital Interventions.- Predictive Analytics for Breast Cancer Recurrence: An Explainable Machine Learning Approach with XGBoost and LightGBM.- Explainable AI based Healthcare Recommendation Systems for Transparent and Personalized Care.- Explainable AI based Diabetes Prediction.- Deep Learning Approaches for MRI-Based Brain Tumor Detection and Segmentation: A Comprehensive Review.- AI-Powered Diagnostic Systems for Chest Imaging: Current Trends and Innovations.- Foundational Insights into Deep Learning for Parkinson’s Disease Diagnosis: A Systematic Literature Review.- Integrating AI into Clinical Workflows: Overcoming Barriers for Clinical Trust.- Graph Neural Network Framework of Predictive Optimization of Smart Healthcare Systems.- MedGPT: A Domain-Specific Large Language Model for Automated Clinical Reasoning and Decision Support.- Enhancing Automated Medical Question Answering using Large Language Models on MedQuAD and PubMedQA.- From Recovery Room to Revenue Stream: An Intelligent System for Post-Surgery Cost-Benefit Analysis.- Artificial Intelligence in Medical Emergency Decision Making: From Traditional Triage to Intelligent Specialist Routing.




