Artificial Intelligence for Innovative Healthcare Informatics

Section 1: Medical Image Analysis using Artificial Intelligence

Use of Deep Learning in Biomedical Imaging

Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach

Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning

Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry

Effective Prediction of Autism Using Ensemble Method

Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic

Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models

AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images

Section 3: Use of AI-Enabled IoT in Healthcare

Internet of Things and Artificial Intelligence in Biomedical Systems

Role of IoT in Healthcare Sector for Monitoring Diabetic Patients

Section 4: Applications of Artificial Intelligence in Healthcare

Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns

Performance Comparison of Imputation Methods for Heart Disease Prediction

Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach

Artificial Intelligence in Biomedical Education

The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI

Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy

• Format: Hardcover
• Language: English
• ISBN: 3030965686
• ISBN13: 9783030965686
• Release Date: May 2022
• Publisher: Springer
• Length: 327 Pages
• Weight: 1.42 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"