The Impact of AI on Decision‐Making

The Impact of AI on Decision‐Making

Scope and purpose:  

In the upcoming years, AI analytics has the potential to revolutionize the healthcare industry. Large data sets being analyzed to identify and forecast clinical outcomes and consequences related to several chronic diseases showed medium to high levels of accuracy. Diabetes mellitus and mental health conditions, such as the prognosis of suicidal behavior, are among them. More research is necessary to fully comprehend AI advantages and potential drawbacks in health decision-making. AI is among the most talked-about subjects in various learning, corporate functions, and industry sectors. It has a significant impact on organizations and society at large. In terms of generating company value and gaining a competitive edge, Bigdata also has high-level operational and strategic potential. Managers can easily access important information, make better decisions, and stimulate innovation by adequately integrating the massive volume of structured and unstructured data, ultimately giving them a competitive advantage. In this Special Issue, the authors try to incorporate future challenges of large volumes of Structured, Unstructured data into the future use of AI techniques in health, Transportation, agriculture, Data Security and privacy, Biomedical engineering data analytics, Social media data processing, multimedia data processing, road safety data analysis, sustainable development, and upcoming power grid challenges. AI analytics can help to provide real effects on individuals’ life in different ways by using public transportation, intelligent communication, and better health care services, which may result from this by way of

  • Enhancing decision-making using real-time analytics

  • Improve the delivery of high-quality, patient-cantered healthcare.

  • Supporting the quick and transparent capture of massive amounts of data to identify health concerns and improve disease monitoring.

  • Growing Adoption of databases across Industries to Foster Market Growth

  • To better understand the behaviors of social media data

  • Role of Bigdata in public transportation

The list of potential topics for this Special Issue includes, but is not limited to, the following:

  1. AI analytics for decision making

  2. Logistical processes and Bigdata

  3. Governance with Bigdata 

  4. Distributed Systems in Healthcare and Medical fields

  5. IoT Systems for data generation

  6. Improvements to AI tools and methodologies

  7. Processing Social Media data with Bigdata

  8. Cloud and AI Analytics

  9. Analytics for Healthcare data Security and Privacy

  10. Analytics for Sustainable Agriculture

  11. Analytics for Sustainable Farming adopting remote Sensing Technology

  12. The Prospects and Obstacles of Bigdata

  13.  Assessment of Driving Behaviour with Bigdata

  14.  Bigdata Analytics for Telecommunication Data

  15.  Bigdata Analytics in the Teaching

  16.  Smart Communication Using Bigdata

  17.  Bigdata for Power Grids

  18.  Bigdata & Sustainable development

Submission procedure

Prospective authors are invited to submit their papers by following the instructions on the website of Revue d'Intelligence Artificielle (RIA):

The submitted manuscripts should not have been previously published, nor should they be currently under consideration for publication elsewhere.

Important dates

• Manuscript submissions due 2024-02-28

• First round of reviews completed 2023-03-29

• Revised manuscripts due 2023-04-15

• Final manuscripts due 2023-04-30

Guest editors:

Dr. Durgesh Nandan, Assistant Professor, Department of Electronics and Telecommunication, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

Email- /

Dr. Kanhaiya Sharma, Assistant Professor, Department of Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.


Dr. Roshan Kumar, Assistant Professor, Department of Electronic and Information Technology, Henan University, Kaifeng, Henan, China.


Dr. Sharnil Pandya, Researcher (Marie Sklodowska-Curie Postdoc Fellow), Department of Computer Science and Media Tech., Linne universiteted, Sweden.