AMHM-2023: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications |
Submission link | https://easychair.org/conferences/?conf=amhm2023 |
Abstract registration deadline | September 15, 2022 |
Submission deadline | December 15, 2022 |
Artificial intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have boosted the healthcare sector with their pioneering systematic approaches, which are accurate and relevant to the collection of tasks. The situation transformed even further with the recent covid-19 pandemic. In this context, AI progressively assists in noticing hidden insights into clinical decision-making, linking persons with intelligent devices for self-management, abstract meaning from distant and unstructured data assets, remotely treating patients, and drug discovery.
This book delivers a high-level understanding of healthcare and medicine applications with emerging technologies such as AI, ML, and DL by discovering innovative advances, concepts, and persistent challenges. In addition, the book also offers potential use cases where AI, ML, and DL can help solve malicious healthcare complications.
Submission Guidelines
All Chapters must be original; please follow the guidelines mentioned below.
Each abstract must be in the range of 250-300 words. Each chapter must have a minimum of 25 pages or more than 7000 words double-spaced. There are no publication and processing charges. The book shall be submitted to major abstract and indexing Scopus.
Table of Contents (but not limited to)
- The History and Role of Artificial Intelligence in Healthcare and Medicine:
- The Deep dive of ML, DL in Healthcare and Medicine.
- Drug discovery, Personalised treatment, and simplifying medical treatment.
- Identifying Cardiovascular Abnormalities with AI
- Detecting Fractures and Other Musculoskeletal Injuries with AI
- Flagging Thoracic Complications and Conditions with AI
- Predicting Intensive Care Unit (ICU) admission and need for Ventilation.
- Medical imaging and Diagnostics with Machine Learning
- GAN for Medical Image synthesis and analysis.
- Improved health records and Patient Monitoring with ML and DL
- Health insurance and Fraud detection with Machine Learning.
- Aiding in the Diagnosis of Neurological Diseases with Deep Learning
- Automated reasoning and meta-reasoning in Medicine.
- Natural language processing in Medicine.
- Machine learning in medicine, medically-oriented human biology, and healthcare.
- Use cases and Future of Deep Learning in Healthcare.
- Finding potential patients who have a high risk for Covid-19 with DL.
- Data encryption, Authentication, and Forensics capabilities in Healthcare and Medicine.
- Block- Medicine chain-based solution for Healthcare and Management.
- Cost-effective, digital, data-driven, and clinical decision support system in mental health with AI, ML, and DL capabilities.
- Deep Learning-based Chatbots for Patient Queries.
- Case studies: Healthcare and Medicine.
Editors
Book Editors
- Dr. Bhanu Chander
- Dr. Guravaiah
- Dr. Anoop B
- Dr. Kumaravelan
Important Dates
- One-page write-up (Abstract with title) ……………….. 05-09-2022
- Abstract acceptance/rejection notification …………. 15-09-2022
- Full chapter submission ……………………………………… 15-12-2022
- First review notification ……………………………………... 15-01-2023
- First review submission ……………………………………… 15-02-2023
- Acceptance notification …………………………………….. 15-03-2023
- Camera Ready submission ……………………………….... 31-03-2023
Publication
AMHM-2023 will be published in ...
by CRC Press, Taylor and Francis Group, FL, USA.
Contact
All questions about AMHM-2023 should be emailed to Dr. Bhanu Chander, Email: bhanu@iiitkottayam.ac.in.