INTERNATIONAL CONFERENCE Shaping the Future of Healthcare: Integrating AI, IoT and Data Science Innovations 2026

Dear Sir/Madam,

Warm Greetings from Rajalakshmi Institute of Technology, Chennai!

We are pleased to announce that the Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology (Autonomous), Chennai is organizing an AICTE Sponsored International Conference on “Shaping the Future of Healthcare: Integrating AI, IoT, and Data Science Innovations (ICSHI-2026)”.

Fest Events

As part of the AICTE Sponsored 1st International Conference – “Shaping the Future of Healthcare: Integrating AI, IoT and Data Science Innovations”, the following academic and technical events are planned to enrich learning, research collaboration, and innovation:

Inaugural Ceremony & Keynote Addresses
Distinguished speakers from academia, industry, and healthcare research will deliver keynote talks on emerging trends in AI-driven healthcare, smart medical IoT, and data-centric decision systems.

Technical Paper Presentation Sessions
Peer-reviewed research papers will be presented under thematic tracks such as AI in medical imaging, IoT-based health monitoring systems, healthcare data analytics, and intelligent decision support systems.

Invited Expert & Industry Sessions
Special sessions by international and national experts focusing on real-world healthcare challenges, translational research, and industry-academia collaboration.

Panel Discussion on Future Healthcare Technologies
Interactive panel discussions involving clinicians, researchers, and technologists on ethical AI, data security, interoperability, and scalable healthcare innovations.

Student Research & Innovation Showcase
Platform for students and young researchers to present innovative prototypes, posters, and research ideas related to smart healthcare solutions.

Valedictory Session & Best Paper Awards
Recognition of outstanding research contributions through Best Paper and Young Researcher Awards, followed by the conference summary and outcome

Track 1: Artificial Intelligence, Machine Learning, and Data Science in Healthcare
AI for Personalized and Predictive Healthcare
Machine Learning Models for Clinical Decision Support
Deep Learning Applications in Medical Imaging and Diagnostics
Data-Driven Risk Assessment for Infectious Diseases
AI for Genomic and Molecular Data Interpretation
Multi-Source Health Data Integration and Analytics
Predictive Systems for Early Detection and Intervention
Emerging AI Frameworks for Health and Life Sciences
Track 2: Computational Modeling, Simulation, and Generative Technologies
AI-Enabled Modeling of Biological and Clinical Systems
Digital Twins for Real-Time Health Monitoring
Computational Physiology and Disease Simulation
Generative AI for Healthcare Innovation
Predictive Computational Models for Treatment Planning
Simulation-Based Tools for Medical Training and Education
Virtual Physiological Human Modeling
Synthetic Data Generation for Clinical Research
Track 3: IoT, Smart Health Systems, and Digital Healthcare Platforms
IoT-Enabled Smart Health Monitoring Systems
Wearable Sensor Technologies for Continuous Tracking
Remote Patient Monitoring and Telehealth Platforms
Virtual and Augmented Reality in Patient Rehabilitation
Smart Hospital Automation and Logistics Systems
Edge and Cloud Computing in Healthcare IoT
Digital Therapeutics and Virtual Care Pathways
Connected Health Ecosystems for Clinical and Home Settings
Track 4: Sustainable, Ethical, and Responsible Healthcare Technologies
Sustainable and Resource-Efficient AI in Healthcare
Eco-Innovative Approaches to Health Technology Design
Green Computing Practices for Medical AI Systems
Energy Optimization Strategies in Digital Health Solutions
Ethical and Regulatory Frameworks for AI-Driven Care
Responsible AI Governance in Healthcare Applications
Bias, Fairness, and Transparency in Clinical Machine Learning
Safety, Security, and Compliance Standards in Health AI

Jan 25 2026

750 for ISBN
Additional charges for scopus indexed publication