(AIEHT 2027)

(AIEHT-2027)

1st International Conference on Artificial Intelligence and Emerging Healthcare Technologies

Date: June 29 & 30, 2027 (Hybrid Mode)

Organised by: MVN University, Palwal, Haryana, India

About the Conference

The International Conference on Artificial Intelligence and Emerging Healthcare Technologies (AIEHT 2027) will be held at MVN University, Palwal, Haryana, 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.

About the Institute

The International Conference on Artificial Intelligence and Emerging Healthcare Technologies (AIEHT 2027) will be held at MVN University, Palwal, Haryana, 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.

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

Paper Submission Guideline

Submission Portal: https://cmt3.research.microsoft.com/AIEHT2027
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.

Important Dates

Submission Deadline : 10th Feb 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

CMT Acknowledgment

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.