The International Conference on Smart Health and Intelligent Technologies (ICSHIT 2024) aims to bring together researchers, practitioners, and industry experts to discuss and explore the transformative potential of artificial intelligence (AI) in healthcare. The conference will cover a broad range of topics, focusing on the application of AI technologies to improve healthcare delivery, enhance patient outcomes, and drive innovation in medical research and practice, with a strong emphasis on computational science.
Guidelines for conference paper Authors
Tools for conference paper authors
Author guidelines (download) and templates to prepare the final manuscript (link, download LaTex Package/Word Template)
Information on third party material e.g. images taken from other sources, the web, etc. (link)
Code of Conduct for Authors (link)
Springer Nature Book Publishing Policies, which also covers Atlantis Press (link)
Tools for conference paper authors
Free translation tool which can be helpful if you draft a paper in your own language and then want to translate it into English (link)
Copyediting and translation services are also offered by Springer Nature via Research Square and AJE.
How to submit your paper?
Authors are requested to submit their research papers using below link:
https://cmt3.research.microsoft.com/ICSHIT2024
The manuscript should be in the SpringerNature Template.
All accepted and presented papers at ICSHIT 2024 will be published by Atlantis Press – Now Part of Springer Nature and submitted for indexing in prestigious databases such as CPCI (Clarivate’s Web of Science), Scopus, and Ei Compendex. Please note, the organizers are not responsible for the final indexing outcome. For more details, visit Link
The International Conference on Smart Health and Intelligent Technologies (ICSHIT 2024) invites researchers, practitioners, and industry experts to submit their original research papers for presentation. This conference aims to explore the transformative potential of artificial intelligence (AI) in healthcare, focusing on computational science applications to improve healthcare delivery, enhance patient outcomes, and drive innovation in medical research and practice.
Key Topics
Track 1: AI in Medical Imaging and Diagnostics
Deep learning for image analysis
AI-assisted radiology
Innovations in imaging techniques
Computer-aided detection and diagnosis
Integration of AI with traditional imaging modalities
Track 2: AI in Patient Care and Management
AI for chronic disease management
Telemedicine and remote patient monitoring
Wearable health technologies
Personalized healthcare solutions
AI for patient engagement and self-care
Track 3: AI in Clinical Decision Support Systems
Predictive analytics for clinical decision-making
Decision support tools and systems
AI in emergency care and critical care management
Optimization of treatment protocols using AI
Integration of AI with electronic health records (EHRs)
Track 4: Ethical and Societal Implications of AI in Healthcare
Ethical considerations in AI deployment in healthcare
Data privacy and security in AI applications
Societal impacts and workforce implications of AI in healthcare
Addressing bias in AI algorithms
Patient consent and data ownership
Track 5: AI in Biomedical Research
AI in genomics and personalized medicine
Machine learning for drug discovery and repurposing
AI-driven bioinformatics and systems biology
Computational modeling of biological processes
AI applications in clinical trials and research studies
Each submitted manuscript will receive a unique paper ID. The manuscripts will be initially screened to check for the conference scope and originality. All the submitted manuscripts will be sent for a technical peer review process and the corresponding author will be notified of the outcome of the review process. ICSHIT 2024 adopts a double-blind review process. Suppose reviewers recommend further improvements in the manuscript. In that case, the manuscript will be sent back to the corresponding author and the revised version of the manuscript shall be submitted within fifteen days of the date of notification. The final decision on the manuscript will be announced after the third round of evaluation by the technical programme committee.
Shri Shankaracharya Institute of Professional Management and Technology Raipur, Chhattisgarh, India is Affiliated to Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai and Approved by All India Council for Technical Education (AICTE), New Delhi.
Lavishly spread over 17 acres of lush green and pollution free environment, SSIPMT has created a unique atmosphere of educational excellence in the capital city of Raipur. The institute was established in the year 2008 with due approval from All India Council of Technical Education (AICTE), New Delhi. Our Institute has been found to be of Quality Management System Standard ie. ISO Certified (NS-EN ISO 9001 : 2015 / ISO 9001 : 2015). SSIPMT aims to provide best quality Engineering and Management education to its students and strives to inculcate the best of its cultural heritage in the future leaders of the corporate world. SSIPMT is proud to have achieved extraordinary university results all these years since its inception in 2008. Imparting education in almost all major streams of engineering and management, SSIPMT has left no stone unturned for the betterment and progress of its students and hence, the society as a whole. To achieve its aim SSIPMT provides multi-faceted learning to its students. We have a team of dedicated and learned teachers inculcating value-based education to the students. Also a highly dynamic and full blown Training and Placement Department provides each and every student a fair chance to transform themselves into a professional and commence their career as soon as they complete their course.