Artificial Intelligence in Precision Medicine: Integrating Machine Learning, Deep Neural Networks, and Data Analytics for Diagnostic Imaging, Surgical Interventions, and Specialized Therapeutic Applications

ChaptersChapter 1: Artificial Intelligence Algorithms for Enhanced Computed Tomography Scan Interpretation: Deep Learning Models for Automated Lesion Detection, Image Reconstruction, and Quantitative Analysis in Clinical Radiology (Negin Mehdinejad)Chapter 2: Machine Learning Integration in Magnetic Resonance Imaging: Advanced Neural Network Techniques for Tissue Characterization, Artifact Reduction, and Multi-Modal Data Fusion in Diagnostic Imaging (Negin Mehdinejad)Chapter 3: Neuroinformatics and Artificial Intelligence: Computational Models for Neurological Disorder Diagnosis, Brain Mapping, and Predictive Analytics in Neurodegenerative Diseases (Yasamin Pishkari)Chapter 4: Artificial Intelligence-Enhanced Surgical Techniques: Robotic Assistance, Intraoperative Navigation, and Augmented Reality Systems for Minimally Invasive Procedures and Precision Surgery (Melika Karamouz)Chapter 5: Artificial Intelligence in Medical Treatment: Algorithmic Frameworks for Personalized Therapeutic Interventions, Predictive Modeling of Treatment Efficacy, and Ethical Integration of AI-Driven Decision Support Systems in Clinical Practice (Sarah Vaseghi)Chapter 6: Artificial Intelligence Applications in Cardiology: Predictive Modeling, Electrocardiogram Analysis, and Hemodynamic Simulation Using Deep Learning for Cardiovascular Health Management (Jina Babanzadeh)Chapter 7: AI-Powered Diagnostic Frameworks for Cardiovascular Diseases: Convolutional Neural Networks for Echocardiography Interpretation, Biomarker Identification, and Early Detection of Coronary Artery Pathologies (Behnaz Dalvandi)Chapter 8: Artificial Intelligence in Oncological Tumor Surgery: Computer Vision-Guided Resection Planning, Real-Time Intraoperative Imaging Analysis, and Outcome Prediction Models for Malignant Neoplasms (Cyrus Asadzadeh)Chapter 9: Advanced AI Techniques in Cardiovascular Disease Prognosis: Reinforcement Learning and Time-Series Analytics for Risk Stratification, Personalized Treatment Pathways, and Long-Term Outcome Forecasting Distinct from Diagnostic Focus (Fatemeh Shalbaf)Chapter 10: Artificial Intelligence in the Management of Women's Cancers: Machine Learning for Breast and Gynecological Malignancy Screening, Genomic Profiling, and Targeted Therapy Optimization in Oncology (Elham Nedaei)Chapter 11: Artificial Intelligence in Orthopedic Medicine: Biomechanical Modeling, Fracture Detection via Computer Vision, and Prosthetic Design Optimization Using Deep Learning for Musculoskeletal Disorders (Pooya M Tehrany)