(AIEHT-2027)
2nd International Conference on Artificial Intelligence and Emerging Healthcare Technologies
Date: June 29 & 30, 2027 (Hybrid Mode)
Organised by: Modern Vidya Niketan University (MVNU), 74th Milestone, National Highway 2, Palwal, Haryana 121105, India
The 2027 1st IEEE International Conference on Artificial Intelligence and Emerging Healthcare Technologies (AIEHT 2027) will be held at Modern Vidya Niketan University (MVNU), 74th Milestone, National Highway 2, Palwal, Haryana 121105, India. AIEHT 2027 serves as a premier international forum for researchers, academicians, healthcare professionals, industry practitioners, and students to share pioneering research, emerging technologies, and innovative applications of artificial intelligence in healthcare. The conference will feature keynote lectures by distinguished experts, technical paper presentations, workshops, tutorials, and panel discussions on emerging topics, including intelligent healthcare systems, medical image analysis, clinical decision support, the Internet of Medical Things (IoMT), digital health, telemedicine, wearable technologies, generative AI, large language models, explainable AI, robotics, precision medicine, digital twins, and healthcare cybersecurity. Accepted and presented papers will be submitted for inclusion in the IEEE Xplore Digital Library, subject to IEEE quality standards and indexing requirements. AIEHT 2027 offers an excellent opportunity to foster global collaborations and drive the next generation of AI-powered healthcare innovations.
Modern Vidya Niketan University (MVNU), Palwal, Haryana, is a multidisciplinary institution committed to academic excellence, innovation, and research-driven education. Located at the 74th Milestone, National Highway 2, Palwal, Haryana, the university offers a wide range of undergraduate, postgraduate, and doctoral programs across engineering, technology, management, health sciences, and other emerging disciplines. MVNU provides a dynamic learning environment supported by state-of-the-art laboratories, modern classrooms, advanced research facilities, and an experienced faculty dedicated to nurturing academic and professional excellence. The university actively promotes interdisciplinary research, innovation, entrepreneurship, and strong collaborations with industry, research organizations, and academic institutions. Through conferences, workshops, skill development programs, and research initiatives, MVNU strives to develop globally competent professionals and researchers equipped to address contemporary technological and societal challenges while contributing to sustainable development and advancing healthcare innovation.
Conference Tracks / Key Topics
Track 1: Intelligent Healthcare Data Analytics and Medical Informatics
Healthcare Big Data Analytics
Electronic Health Records (EHR) and Clinical Data Management
Predictive Analytics for Healthcare
AI for Hospital Resource Planning
Population Health Analytics
Medical Data Integration and Interoperability
AI for Medical Coding and Billing
Intelligent Healthcare Information Systems
AI for Reducing Clinical Errors
Health Data Privacy and Security
Track 2: Emerging Healthcare Technologies and Smart Healthcare Systems
AI-Enabled Telemedicine and Telehealth
Internet of Medical Things (IoMT)
Wearable and Remote Patient Monitoring Systems
Smart Hospitals and Intelligent Healthcare Infrastructure
AI for Healthcare Operations Management
AI-Driven Medical Devices
Digital Health Technologies
Cloud and Edge Computing for Healthcare
AI-Based Patient Engagement Systems
Intelligent Healthcare Automation
Track 3: Medical Imaging, Biomedical Engineering and Intelligent Robotics
Medical Image Analysis
Computer Vision for Healthcare
Biomedical Signal Processing
Intelligent Medical Devices
Surgical and Rehabilitation Robotics
Smart Sensors and Biomedical Instrumentation
AI in Medical Imaging
Human–Robot Collaboration in Healthcare
Biomedical Engineering Applications
Intelligent Assistive Technologies
Track 4: Next-Generation AI Technologies for Healthcare
Generative AI for Healthcare
Large Language Models (LLMs) in Medicine
AI Agents for Clinical Applications
Explainable and Trustworthy AI
Federated Learning in Healthcare
Digital Twins for Healthcare
AI Ethics, Governance and Regulatory Compliance
Cybersecurity for Healthcare Systems
Multimodal AI for Healthcare
Sustainable and Green AI for Healthcare
Submission Portal:
Papers must be original and unpublished work.
Manuscripts should follow the official
Maximum length: 6 pages (including references, tables, and figures).
Extra pages may be allowed with additional charges.
Papers will undergo peer review based on originality, technical quality, and relevance.
Submission Deadline : 10th May 2027
Notification of acceptance : 30th May 2027
Registration Deadline : 10th June 2027
Camera-ready paper submission : 15th June 2027
Release of conference schedule : 20th June 2027
Conference Date : 29th & 30th June 2027
