Artificial intelligence in medicine and healthcare 

 - Boca Raton  CRC Press  2025 
 - xix, 193 p. 
<br/><br/> Table of Contents:<br/><br/>1. Deep Learning based an Intelligent approach for the Pharmaceutical Drug Discovery and Classification using Fine-Tuned MobileNet and Adamax Optimizer<br/><br/>Ravi Sheth, Chandresh Parekha, Ajay Kumar, Lokesh Jain<br/><br/>2. Artificial Intelligence in Improving Disease Diagnosis: Cardiovascular Disease Prediction: A Case Study<br/><br/>Abhilash Pati, Santosh Reddy Addula, Amrutanshu Panigrahi, Bibhuprasad Sah, Debasish Swapnesh Kumar Nayak, Manoranjan Das<br/><br/>3. Medical Image Based Pulmonary Disease Prediction Using Bio-Geographical<br/><br/>Priyanka Singh, S. Veenadhari<br/><br/>4. Tomato Plant Disease Detection with Pretrained CNNs: Performance Assessment and Visual Presentation: The Review<br/><br/>Saurabh Sharma, Gajanand Sharma, Ekta Menghani<br/><br/>5. Detection of Liver Cirrhosis Using Fuzzy Expert System<br/><br/>Jyoti, Ramandeep Sandhu, Aarti Shar, Shekhar Swarnkar, Kamlesh Lakhwani<br/><br/>6. An Extensive Survey on Citrus Plant Disease Detection Using Image Processing and Deep Learning<br/><br/>Archna Goyal, Kamlesh Lakhwani<br/><br/>7. Predicting Diabetes Using Hybrid Approach of KNN, Random Forest Machine Learning Algorithms<br/><br/>Urvashi Rahul Saxena, Rohit Bathla, Sneha Srivastava, Riya Agarwal, Diwakar Rawat<br/><br/>8. Transforming Healthcare through Advanced Federated Learning: Privacy, Performance, and Collaboration<br/><br/>Shilpa Singhal, Megha Gupta, Anant Tyagi<br/><br/>9. Application of Artificial Intelligence in Breast Cancer Diagnostics-A Review<br/><br/>Padmasini.N, Sairam.V.A ,  Samyuktha Kapoor , Nithila.J<br/><br/>10. An Enhance Approach of Domain Adaptation based Sentiment Analysis Using Deep Transfer Learning<br/><br/>Rati Sharma, Kamlesh Lakhwani 
<br/><br/> This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology.<br/><br/>This book:<br/><br/>Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare<br/>Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making<br/>Illustrates the role of artificial intelligence in telemedicine applications<br/>Examines medical image analysis using machine learning, and deep learning techniques<br/>It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.<br/><br/>(https://www.routledge.com/Artificial-Intelligence-in-Medicine-and-Healthcare/Kumar-Rani-Rathee-Hemrajani-Dahiya/p/book/9781032832739) 
<br/><br/><label>ISBN: </label>9781032832739 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Medical informatics<br/>Artificial intelligence-Medical applications
<br/><br/><label>Dewey Class. No.: </label>610.285  / KUM