(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
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Call for Paper
Call for Paper
Call for Paper
Call for Paper
The International Conference on Artificial Intelligence and Emerging Healthcare Technologies (AIEHT 2027) invites high-quality original research papers showcasing innovative research, emerging technologies, and practical applications of Artificial Intelligence in healthcare and allied medical sciences. The conference will be held on June 29th & 30th, 2027, at MVN University, Palwal, Haryana, India. AIEHT 2026 aims to provide an international platform for researchers, academicians, healthcare professionals, industry experts, and students to exchange ideas, present cutting-edge research, and discuss recent advances in AI-enabled healthcare. The conference welcomes contributions in intelligent healthcare systems, medical image analysis, clinical decision support, digital health, the Internet of Medical Things (IoMT), wearable technologies, predictive analytics, explainable AI, robotics, precision medicine, and healthcare cybersecurity. Accepted papers will promote interdisciplinary collaboration and contribute to the development of innovative, reliable, and sustainable AI-driven healthcare solutions for improving global healthcare delivery.
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
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
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
Peer Review & Evaluation Process
Peer Review & Evaluation Process
All papers submitted to AIEHT-2027 will undergo a rigorous double-blind peer review to ensure academic and scientific quality. The process is designed to maintain fairness, transparency, and high research standards.
Evaluation Criteria
Evaluation Criteria
Each paper will be reviewed by experts from the Technical Program Committee and assessed based on:
Originality & Novelty – Contribution of new ideas or significant improvements over existing methods.
Technical Quality – Soundness of methodology, correctness of results, and rigor of analysis.
Clarity of Presentation – Organization, readability, language quality, and effective use of figures/tables.
Relevance to Conference Themes – Alignment with AIEHT 2027 focus areas and applicability to real-world problems in AI and healthcare.
Significance & Impact – Potential contribution to theory, practice, and future research.
Notification of acceptance, along with reviewer comments, will be sent to authors via Microsoft CMT Portal.
Peer Review Process
Peer Review Process
The peer review will follow these steps:
Initial Screening – Submissions will be checked for scope, formatting compliance, plagiarism, and adherence to IEEE guidelines.
Expert Review – Eligible papers will be assigned to at least two independent reviewers from academia and/or industry.
Review Assessment – Reviewers will evaluate originality, technical strength, clarity of presentation, relevance, and overall impact.
Decision Making – The Technical Program Committee (TPC) will finalize acceptance, minor/major revisions, or rejection based on reviewer reports.
Final Submission – Accepted authors must submit a camera-ready version addressing all reviewer feedback.
Important: Only papers that are registered and presented at AIEHT-2027 will be submitted for inclusion in the IEEE Xplore Digital Library (subject to IEEE quality checks).
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