1 option
Transforming healthcare : artificial intelligence, machine learning, and 5G innovations for enhanced patient care / edited by K. Srinivasan, Jude Hemanth and V. Rukkumani.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Medical innovations.
- Medical informatics.
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Internet of things--Medical applications.
- Internet of things.
- Physical Description:
- 1 online resource
- Place of Publication:
- Boca Raton, FL : CRC Press, 2026.
- Contents:
- Role of AI & ML in lung disease detection based on lung sound analysis using deep learning algorithms / Nivaashini Mathappan, Priya Lakshmipathy
- Application of an artificial intelligence (AI) for tele-healthcare diagnosis / Vijayachitra Senniappan
- Transformative applications of AI and ML in diagnostics and disease treatment / Jothimani Subramani, Nikitha Mahalingam, Sangeethaa Swamynathan
- Predictions of malnutrition among children / Mangaiyarkkarasi Jeganathan, Shanthalakshmi Revathy Jeganathan
- Precise segmentation of anterior cruciate ligament tear from clinical MR images using meta-heuristic optimization / Pallikonda Rajasekaran, Kottaimalai Ramaraj, Arunprasath Thiyagarajan, Jakir Hossen, Wai Kit Wong
- Design and development of IoT enabled drone using for agriculture and medical applications with integration of AI / Dhanalakshmi Gopal, Jayaraju Gaddala, Nageswara Reddy Pereddy, Mukunthan Pandurangan
- A deep learning based diabetic retinopathy detection model / Kalaivani Kaliyaperumal, Kopperundevi Nagarajan, Vallalkani Kattur Nagarajan, Ganesh Jayaraman Deepan Perumal
- Building network slice for health care equipment over 5G services / Selvaganesh Muniyappan, Sakthi Kumar Saravanan, Sabarisan Konur Mani
- Design and implementation of personal protective equipment detection system using YOLO v9 for industrial environments / Praveen Kumar Devulapalli, Alekya Kasoju, Sai Priya Gaddam, Sai Teja Alli
- Improving spectrum resource management with an advanced deep learning-based model / Sivasankari Salem Anbazhagan, Cristiano Bonato Both, Rukkumani Venkatasalam, Srinivasan Karuppanan
- Hybrid dense block convolutional transformers (DBCT) for lung cancer detection and severity analysis / Sharmila Arumugam, Tamilselvan Kumaravel Subramaniam, Dhivya Priya Loganathan
- Computer vision based robotic hand for medical healthcare applications / Thilagaraj Maiman Singh, Subhradip Mukherjee, Ameen Muhammed Jumah, Manobhava P, Sowmya N, Shyam T E, and Sanoj K
- Yoga pose estimation using PoseNet model / Karanam Sai Sharan, Sumathi Ramachandran , Karnatakam Anvitha, Kolaparthi Venkata Satya Naga Sai Kishan, Dhathri Bathineedi
- Patient health monitoring using IoT and machine learning / Kannan Palanisamy Parthiban, Sevugarathinam Muthu Vijaya Pandian, Muthirulan Muthukrishnaveni
- Leveraging machine learning and artificial intelligence for advanced mobile network systems / Mohankumar Bharathiyar, Ezhil Arasi Veeraiyan, Priyadharsini Murugesan, Prabhu Thuthikulam Natesan
- Transforming patient care : the impact of 5G technology on telemedicine, remote monitoring, and healthcare delivery / Elamurugan Balasundaram, Krishna Sudheer Annavajjala, Gajendran.Aranganathan, Mathiazhagan Arumugam Vinoth
- Revolutionizing healthcare : the role of artificial intelligence, 5G, cloud services, and other enabling technologies / Bharathi Mayilswamy, Amsaveni Avinashippan, Pushpavalli Maheleeswaran
- Melanoma skin cancer detection using hybrid attention DCNN-Bi LSTM architecture / Coimbatore Shelvaraju Manikandababu, Rukkumani Venkatasalam.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. London Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on March 09, 2026).
- Other Format:
- Print version: Transforming healthcare
- Print version:
- ISBN:
- 9781003535843
- 1003535844
- 9781040438923
- 104043892X
- 9781040438893
- 104043889X
- Publisher Number:
- 90103649598
- CIPO000282130
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.