Important Dates
Early Bird Registration :25th August 2026
Paper Submission Deadline :30th August 2026
Last Date of Registration : 9th September 2026
Date of Conference : 24th - 25th September 2026
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
Track 01
Artificial Intelligence in Health Diagnostics
This track focuses on the application of artificial intelligence techniques to enhance diagnostic accuracy in healthcare. It will explore innovative algorithms and models that improve the identification and classification of medical conditions.
Track 02
Machine Learning Applications in Healthcare
This session will delve into the use of machine learning methodologies to solve complex healthcare challenges. Topics will include predictive analytics, patient outcome forecasting, and personalized treatment plans.
Track 03
AI for Health Information Management
This track addresses the integration of artificial intelligence in managing health information systems. Discussions will center on data governance, interoperability, and the optimization of health records through AI technologies.
Track 04
Algorithm Development for Healthcare Applications
This session will highlight the development of novel algorithms tailored for healthcare applications. Participants will share insights on algorithmic efficiency, robustness, and real-world applicability in clinical settings.
Track 05
Semantic Processing in Medical Texts
This track focuses on extracting and processing rich semantics from medical texts using artificial intelligence. It will cover natural language processing techniques that enhance the understanding of clinical narratives and patient records.
Track 06
Data Mining and Knowledge Discovery in Medicine
This session will explore data mining techniques and their role in uncovering valuable insights from medical data. Emphasis will be placed on knowledge discovery processes that inform clinical decision-making.
Track 07
Medical Expert Systems and AI
This track examines the development and implementation of medical expert systems powered by artificial intelligence. Discussions will focus on their impact on clinical practice and patient care efficiency.
Track 08
Machine Learning-Based Medical Systems
This session will showcase advancements in machine learning-based systems designed for various medical applications. Topics will include system architecture, training methodologies, and validation processes.
Track 09
Medical Signal and Image Processing Techniques
This track will address the application of AI in processing medical signals and images. Participants will discuss innovative techniques that enhance image analysis, feature extraction, and diagnostic imaging.
Track 10
Computer-Assisted Clinical Documentation
This session will explore the role of artificial intelligence in computer-assisted clinical documentation. It will highlight advancements that improve documentation accuracy and reduce clinician workload.
Track 11
Computer-Assisted Physician Documentation
This track focuses on the integration of AI in computer-assisted physician documentation systems. Discussions will center on enhancing clinical workflows and improving patient outcomes through intelligent documentation solutions.