TY  - BOOK
AU  - Kumar, Ajay [Editor]
AU  - Rani, Sangeeta [Editor]
AU  - Rathee, Sarita [Editor]
AU  - Hemrajani, Naveen [Editor]
AU  - Dahiya, Mamta [Editor]
TI  - Artificial intelligence in medicine and healthcare
SN  - 9781032832739
U1  - 610.285 
PY  - 2025///
CY  - Boca Raton
PB  - CRC Press
KW  - Medical informatics
KW  - Artificial intelligence-Medical applications
N1  - Table of Contents:

1. Deep Learning based an Intelligent approach for the Pharmaceutical Drug Discovery and Classification using Fine-Tuned MobileNet and Adamax Optimizer

Ravi Sheth, Chandresh Parekha, Ajay Kumar, Lokesh Jain

2. Artificial Intelligence in Improving Disease Diagnosis: Cardiovascular Disease Prediction: A Case Study

Abhilash Pati, Santosh Reddy Addula, Amrutanshu Panigrahi, Bibhuprasad Sah, Debasish Swapnesh Kumar Nayak, Manoranjan Das

3. Medical Image Based Pulmonary Disease Prediction Using Bio-Geographical

Priyanka Singh, S. Veenadhari

4. Tomato Plant Disease Detection with Pretrained CNNs: Performance Assessment and Visual Presentation: The Review

Saurabh Sharma, Gajanand Sharma, Ekta Menghani

5. Detection of Liver Cirrhosis Using Fuzzy Expert System

Jyoti, Ramandeep Sandhu, Aarti Shar, Shekhar Swarnkar, Kamlesh Lakhwani

6. An Extensive Survey on Citrus Plant Disease Detection Using Image Processing and Deep Learning

Archna Goyal, Kamlesh Lakhwani

7. Predicting Diabetes Using Hybrid Approach of KNN, Random Forest Machine Learning Algorithms

Urvashi Rahul Saxena, Rohit Bathla, Sneha Srivastava, Riya Agarwal, Diwakar Rawat

8. Transforming Healthcare through Advanced Federated Learning: Privacy, Performance, and Collaboration

Shilpa Singhal, Megha Gupta, Anant Tyagi

9. Application of Artificial Intelligence in Breast Cancer Diagnostics-A Review

Padmasini.N, Sairam.V.A ,  Samyuktha Kapoor , Nithila.J

10. An Enhance Approach of Domain Adaptation based Sentiment Analysis Using Deep Transfer Learning

Rati Sharma, Kamlesh Lakhwani
N2  - 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.

This book:

Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare
Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making
Illustrates the role of artificial intelligence in telemedicine applications
Examines medical image analysis using machine learning, and deep learning techniques
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.

(https://www.routledge.com/Artificial-Intelligence-in-Medicine-and-Healthcare/Kumar-Rani-Rathee-Hemrajani-Dahiya/p/book/9781032832739)
ER  -