AIH4 -2021: Artificial Intelligence for Health 4.0: Challenges and Applications |
Submission link | https://easychair.org/conferences/?conf=aih42021 |
Submission deadline | August 15, 2021 |
Artificial Intelligence for Health 4.0: Challenges and Applications
The explosive growth of digital data, expansion of computing power fueled by innovation in hardware technologies, such as graphics processing units, and rapid developments in machine learning algorithms, popularly implemented using deep learning, are all leaving a significant mark in the health care field. Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and rapid progress of analytics techniques. Continuous developments in artificial intelligence (AI) technologies are expected to bring innovations to the future of health care
This book focus on how artificial intelligence bring innovations to the future of health care, it will focus on various studies that applying AI in health care gives better results compared with the existing technologies, multiple ways in which AI integrates with the cloud and each method enhances performance and efficiency of the cloud, how AI can accelerate the process of clinical studies which can reduce clinical trial cycle times while improving the costs
Submission Guidelines
Authors are invited to submit abstracts for chapters (around 450-500 words) stating the objective and structure of the unpublished research work.
Important Dates
Abstract Submission {Approx. 500 Words}: 30 July 2021
Abstract Acceptance Notification: 20 August 2021
Full Chapter Submission: 30 Nov 2021
Review Notification of Chapter: 31 Dec 2021
Revised Chapter Submission: 15 Feb 2022
List of Topics
Topics of Interest (not limited to):
- Introduction: Artificial intelligence in healthcare, clinical studies, data imaging, and disease diagnosis
- Leveraging artificial intelligence to optimize drug design and site selection
- Artificial intelligence in medical image processing
- Artificial intelligence/ machine learning in patient recruitment
- Artificial intelligence role in assessing the impact of different dosing regimens
- Patient monitoring through artificial intelligence
- Big data analytics in clinical studies
- Challenges and benefit of artificial intelligence in advancements of the clinical trial process
- AI-based cloud computing technique for patient data management
- Artificial intelligence/ machine learning in healthcare data analysis and interpretation
- The ethics of artificial intelligence in healthcare: Issues and initiatives
- Artificial intelligence and healthcare robotics
- Artificial intelligence boosting the development of drug
- Data analysis for the prediction of the mode of action of a therapeutic compound
- Cloud computing for patient data analysis
- Case study supporting the application of AI in boosting clinical trial
Editors
- Prof. Rishabha Malviya, Galgotias University, India
- Dr. Naveen Chilamkurti, La Trobe Cybersecurity Research Hub La Trobe University, Melbourne, Australia.
- Prof. Sonali Sundram, Galgotias University, India
- Dr. Rajesh Kumar Dhanaraj, Galgotias University, India
- Dr. Balamurugan Balusamy, Galgotias University, India
Publication
AIH4 -2021 proceedings will be published by River publisher, Chapter will be indexed in IEEE.
NO PROCESSING FEES
Contact
All questions about submissions should be emailed to editor.rishabha@gmail.com