Revolutionizing healthcare 5.0: the power of generative AI: advancements in patient care through generative AI algorithms
Revolutionizing healthcare 5.0: the power of generative AI: advancements in patient care through generative AI algorithms
- Cham Springer 2024
- ix, 476 p.
- Studies in Systems, Decision and Control (SSDC, volume 571) .
Table of contents:
Front Matter
Pages i-ix
Download chapter PDF
A Systematic Review on Learning Based Models for Automatic Classification of Medical Documents
Suwarna Gothane, B. Sivaneasan, Amjan Shaik, Prasun Chakrabarti
Pages 1-11
A Novel Method for Automatic Detection of Ulcer in Wireless Capsule Endoscopy Images
C. P. Sindhu, Vysak Valsan
Pages 13-26
GAN-Enhanced Deep Learning Framework for High-Precision Lung Nodule Detection and Severity Assessment in CT Images
A. Asuntha, P. K. Dutta, K. Vino Aishwarya
Pages 27-56
Machine Learning Approach to Recognition Human Mental State from EEG Signal
Swati Chowdhuri, Ayushi Bhargav, Ayan Kumar Panja, Amartya Mukherjee
Pages 57-75
Maximizing Accuracy in Alzheimer’s Disease Prediction: A Optuna Hyper Parameter Optimization Strategy Using MRI Images
P. Deepan, G. Prabhakar Reddy, M. Arsha Reddy, R. Vidya, S. Dhiravidaselvi
Pages 77-91
Advanced Deep Learning Models for COVID-19 Prediction: A Multi-convolutional Neural Network Perspective
P. Deepan, Amjan Shaik, R. Santhoshkumar, B. Rajalingam, S. Dhiravidaselvi, N. Arul
Pages 93-109
A Parametric Analysis of Cardiovascular Diseases Detection Methods Using ML Techniques
Marri Sireesha, Anjaiah Adepu, Amjan Shaik, Naga Jyothi
Pages 111-123
Machine Learning Based Disease Classification and Prediction
Sandhya Nadella, Pushkara Annaldas, Sai Aashritha Kalakancheri, Charan Sai Kamsani, Jagruthi Mekala
Pages 125-137
Segmentation of Retinal Blood Vessels and Optic Disc Using Deep Neural Networks: State-Of-The-Art Review
Saba Sheiba, M. Neelakantappa, Amjan Shaik
Pages 139-152
Enhancing Brain Tumor Detection in MR Images Using Modified Few-Shot Learning
Akkipalli Sowjanya, Amjan Shaik
Pages 153-163
An Empirical Study on Lung Cancer Detection and Classification Using Machine Learning and Image Processing Techniques
Kabir Ahmed, Syed Sazzad Ahmed, Abhishek Talukdar, Dipraj Chakrabarty
Pages 165-176
Survey on Depression Detection Using Machine Learning Techniques⋆
Kritika Shrivastava, Arunima Jaiswal, Nitin Sachdeva
Pages 177-187
Generative AI for Enhanced Decision Making in Healthcare 5.0
C. Rajan, H. Blankson
Pages 189-197
Integration of Generative AI System to IoT Based Healthcare Systems 5.0
Janjhyam Venkata Naga Ramesh, Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Sanjiv Kumar Jain, Rohit Anand, Ankur Gupta
Pages 199-217
Beyond Prediction: How Generative AI is Creating New Healthcare Realities
Bablu Pramanik, Debosree Ghosh, Debasree Ghosh, Kaushik Paul
Pages 219-233
Vertical Integration of Data Augmentation Using Generative AI in Medical Imagining for Population Health: Deep Learning Approaches for Transforming Health 5.0
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert
Pages 235-253
Securing Healthcare AI: Applied Federal Learning
Md. Nurul Huda, Mohammad Badruddoza Talukder, Sanjeev Kumar
Pages 255-272
Enhancing Healthcare Operations: Harnessing Generative AI for Efficiency and Innovation
Pawan Whig, Pushan Kumar Dutta, Nikhitha Yathiraju, Pronaya Bhattacharya, Iti Batra
Pages 273-287
Transforming Healthcare Operations with Generative AI: Optimizing Resource Allocation, Workflow Management, and Predictive Analytics
Pawan Whig, Pushan Kumar Dutta, Nikhitha Yathiraju, Pronaya Bhattacharya, Seema Sharma
Pages 289-308
Implementation of Novel Voice Cloning Method Based on Comprehensive Review of Voice Cloning Technologies: Methodology, Applications, and Future Directions
Ch Pavan Harshit, Satvik Yadav Elitem, M. Venakata Krishna Reddy
Pages 309-320
Emerging Role of Blockchain in Generative AI for Healthcare Management
Shivi Khanna, Nabanita Ghosh, Sunita Kumar
Pages 321-336
Prioritizing Disease Screening in Health 5:0 and Pandemic Outbreak Management: Hustler Artificial Intelligence Approaches Transforming Population Healthcare
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert
Pages 337-356
Predictive Models for Non-communicable Diseases: Exploring the Roles of Machine Learning, Deep Learning, Generative AI, and Optimization
C. Rajeev, Karthika Natarajan
Pages 357-377
Metamorphic Marvels with GAN-Powered Real-Time Image Cartoonification and Transformation for Precision Medicine
BJD Kalyani, Sarabu Neelima
Pages 379-388
Bridging Vision and Technology: The Future of AI in Assisting the Visually Impaired
Abhishek M. Nair, Jettin Daisy Joy, S. Navaneeth, Priya Philip, S. N. Kumar, Vinu Sankar et al.
Pages 389-401
Enhanced Encryption Scheme for Cloud-Based Health Care Data
U. D. Rana, H. P. Gohil
Pages 403-414
Enhancing Healthcare Insights Through Integration of AI and Covering-Based Rough Set Theory in Web Mining
Subrata Paul, Anirban Mitra, Shivnath Ghosh
Pages 415-438
Personal Nutritionist Gui for Diet Recommendation System Using Ensemble Machine Learning Technique Based on User Health Information
P T Sharath, Sasi Gowtham Reddy Sathi, K. Anita Davamani
Pages 439-452
Healthcare Data Encryption Based on Secure AI Model with Computational Analysis Using Machine Learning Algorithms
Nattar Kannan, Ramesh Sundar, M. Rammorthy, Sulaima Lebbe Abdul Haleem, R. Manikandan
Pages 453-476
[https://link.springer.com/book/10.1007/978-3-031-75771-6?page=2#toc]
This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint—coupled with case studies, statistical analyses, and expert insights—the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI
(https://link.springer.com/book/10.1007/978-3-031-75771-6)
9783031757709
Healthcare--AI
610.285 / BHA
Table of contents:
Front Matter
Pages i-ix
Download chapter PDF
A Systematic Review on Learning Based Models for Automatic Classification of Medical Documents
Suwarna Gothane, B. Sivaneasan, Amjan Shaik, Prasun Chakrabarti
Pages 1-11
A Novel Method for Automatic Detection of Ulcer in Wireless Capsule Endoscopy Images
C. P. Sindhu, Vysak Valsan
Pages 13-26
GAN-Enhanced Deep Learning Framework for High-Precision Lung Nodule Detection and Severity Assessment in CT Images
A. Asuntha, P. K. Dutta, K. Vino Aishwarya
Pages 27-56
Machine Learning Approach to Recognition Human Mental State from EEG Signal
Swati Chowdhuri, Ayushi Bhargav, Ayan Kumar Panja, Amartya Mukherjee
Pages 57-75
Maximizing Accuracy in Alzheimer’s Disease Prediction: A Optuna Hyper Parameter Optimization Strategy Using MRI Images
P. Deepan, G. Prabhakar Reddy, M. Arsha Reddy, R. Vidya, S. Dhiravidaselvi
Pages 77-91
Advanced Deep Learning Models for COVID-19 Prediction: A Multi-convolutional Neural Network Perspective
P. Deepan, Amjan Shaik, R. Santhoshkumar, B. Rajalingam, S. Dhiravidaselvi, N. Arul
Pages 93-109
A Parametric Analysis of Cardiovascular Diseases Detection Methods Using ML Techniques
Marri Sireesha, Anjaiah Adepu, Amjan Shaik, Naga Jyothi
Pages 111-123
Machine Learning Based Disease Classification and Prediction
Sandhya Nadella, Pushkara Annaldas, Sai Aashritha Kalakancheri, Charan Sai Kamsani, Jagruthi Mekala
Pages 125-137
Segmentation of Retinal Blood Vessels and Optic Disc Using Deep Neural Networks: State-Of-The-Art Review
Saba Sheiba, M. Neelakantappa, Amjan Shaik
Pages 139-152
Enhancing Brain Tumor Detection in MR Images Using Modified Few-Shot Learning
Akkipalli Sowjanya, Amjan Shaik
Pages 153-163
An Empirical Study on Lung Cancer Detection and Classification Using Machine Learning and Image Processing Techniques
Kabir Ahmed, Syed Sazzad Ahmed, Abhishek Talukdar, Dipraj Chakrabarty
Pages 165-176
Survey on Depression Detection Using Machine Learning Techniques⋆
Kritika Shrivastava, Arunima Jaiswal, Nitin Sachdeva
Pages 177-187
Generative AI for Enhanced Decision Making in Healthcare 5.0
C. Rajan, H. Blankson
Pages 189-197
Integration of Generative AI System to IoT Based Healthcare Systems 5.0
Janjhyam Venkata Naga Ramesh, Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Sanjiv Kumar Jain, Rohit Anand, Ankur Gupta
Pages 199-217
Beyond Prediction: How Generative AI is Creating New Healthcare Realities
Bablu Pramanik, Debosree Ghosh, Debasree Ghosh, Kaushik Paul
Pages 219-233
Vertical Integration of Data Augmentation Using Generative AI in Medical Imagining for Population Health: Deep Learning Approaches for Transforming Health 5.0
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert
Pages 235-253
Securing Healthcare AI: Applied Federal Learning
Md. Nurul Huda, Mohammad Badruddoza Talukder, Sanjeev Kumar
Pages 255-272
Enhancing Healthcare Operations: Harnessing Generative AI for Efficiency and Innovation
Pawan Whig, Pushan Kumar Dutta, Nikhitha Yathiraju, Pronaya Bhattacharya, Iti Batra
Pages 273-287
Transforming Healthcare Operations with Generative AI: Optimizing Resource Allocation, Workflow Management, and Predictive Analytics
Pawan Whig, Pushan Kumar Dutta, Nikhitha Yathiraju, Pronaya Bhattacharya, Seema Sharma
Pages 289-308
Implementation of Novel Voice Cloning Method Based on Comprehensive Review of Voice Cloning Technologies: Methodology, Applications, and Future Directions
Ch Pavan Harshit, Satvik Yadav Elitem, M. Venakata Krishna Reddy
Pages 309-320
Emerging Role of Blockchain in Generative AI for Healthcare Management
Shivi Khanna, Nabanita Ghosh, Sunita Kumar
Pages 321-336
Prioritizing Disease Screening in Health 5:0 and Pandemic Outbreak Management: Hustler Artificial Intelligence Approaches Transforming Population Healthcare
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert
Pages 337-356
Predictive Models for Non-communicable Diseases: Exploring the Roles of Machine Learning, Deep Learning, Generative AI, and Optimization
C. Rajeev, Karthika Natarajan
Pages 357-377
Metamorphic Marvels with GAN-Powered Real-Time Image Cartoonification and Transformation for Precision Medicine
BJD Kalyani, Sarabu Neelima
Pages 379-388
Bridging Vision and Technology: The Future of AI in Assisting the Visually Impaired
Abhishek M. Nair, Jettin Daisy Joy, S. Navaneeth, Priya Philip, S. N. Kumar, Vinu Sankar et al.
Pages 389-401
Enhanced Encryption Scheme for Cloud-Based Health Care Data
U. D. Rana, H. P. Gohil
Pages 403-414
Enhancing Healthcare Insights Through Integration of AI and Covering-Based Rough Set Theory in Web Mining
Subrata Paul, Anirban Mitra, Shivnath Ghosh
Pages 415-438
Personal Nutritionist Gui for Diet Recommendation System Using Ensemble Machine Learning Technique Based on User Health Information
P T Sharath, Sasi Gowtham Reddy Sathi, K. Anita Davamani
Pages 439-452
Healthcare Data Encryption Based on Secure AI Model with Computational Analysis Using Machine Learning Algorithms
Nattar Kannan, Ramesh Sundar, M. Rammorthy, Sulaima Lebbe Abdul Haleem, R. Manikandan
Pages 453-476
[https://link.springer.com/book/10.1007/978-3-031-75771-6?page=2#toc]
This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint—coupled with case studies, statistical analyses, and expert insights—the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI
(https://link.springer.com/book/10.1007/978-3-031-75771-6)
9783031757709
Healthcare--AI
610.285 / BHA