Artificial Intelligence in Medicine (Hardcover, 1)

List of Contributors.?Part 1:?Foundations of AI in Healthcare.?Chapter 1:?Exploring Deep Learning Approaches for Cardiac Arrhythmia Diagnosis.?Chapter 2:?Neural Networks and LDA based Machine Learning Framework for the Early Detection of Breast Cancer.?Chapter 3:?Advanced Deep Learning Algorithms for Early Ocular Disease Detection Using Fundus Images.?Part 2:?Disease Detection and Diagnosis.?Chapter 4:?A Vision Transformer-Based Approach for Brain Tumor Detection.?Chapter 5:?Early Detection of Skin Cancer through Human-Computer Collaboration.?Chapter 6:?Improved Mass Detection in Mammograms Images with Dual Tree Complex Wavelet Transform and Fourier Descriptors.?Chapter 7:?A Deep Learning-based Model for Early Detection of COVID-19 Using Chest X-ray Images.?Chapter 8:?Detection of Seizure Activity in fMRI Images Using Deep Learning Techniques.?Part 3:?Disease Prediction and Public Health.?Chapter 9:?Improving Prediction Accuracy for Neo-Adjuvant Chemotherapy Response in Breast Cancer Through 3D Image Segmentation and Deep Learning Techniques.?Chapter 10:?A Machine Learning Predictive Framework for Diabetes Management Using Blood Parameters.?Chapter 11:?A Combined Neuro-Fuzzy and Naive Bayes Approach for Swine Flu Disease Prediction System.?Chapter 12:?Enhancing Decision-Making in Public Maternal Healthcare using a Knowledge Discovery-Based Predictive Analytics Framework.?Part 4:?Patient Care and Enhancements.?Chapter 13:?Enhancing Patient Care and Treatment through Explainable AI: A Gap Analysis.?Chapter 14:?Improved Medical Image Captioning for Chest X-Rays Using a Hybrid VGG-ELECTRA Model.?Chapter 15:?Diagnosing Parkinson’s disease using a Deep Learning Model Based on Electromyography Sensors.?Chapter 16:?Enhancing Heart Disease Prediction with Hybridized KNN-MOPSO Algorithm.

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