Registration summary
ConferenceICIADSH
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICIADSH conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 AI Applications in Medical Image Analysis +
This track focuses on the integration of artificial intelligence techniques in the analysis of medical images. It aims to explore novel algorithms and methodologies that enhance diagnostic accuracy and efficiency in radiology and pathology.
02 Predictive Analytics in Healthcare +
This session will delve into the use of predictive analytics to forecast patient outcomes and optimize treatment plans. Researchers are invited to present innovative models that leverage big data to improve clinical decision-making.
03 Machine Learning for Clinical Decision Support +
This track emphasizes the development of machine learning systems that assist healthcare professionals in making informed clinical decisions. Contributions should highlight the effectiveness and reliability of these systems in real-world applications.
04 Personalized Medicine through Data Science +
This session explores the role of data science in tailoring medical treatments to individual patient profiles. Papers should discuss methodologies that utilize genomic, phenotypic, and lifestyle data to enhance therapeutic outcomes.
05 AI-Driven Innovations in Drug Discovery +
This track aims to showcase advancements in AI technologies that facilitate the drug discovery process. Participants are encouraged to present case studies that illustrate the impact of AI on reducing time and costs in pharmaceutical research.
06 Big Data Challenges in Healthcare +
This session addresses the complexities and challenges associated with managing and analyzing big data in healthcare settings. Contributions should focus on innovative solutions that enhance data interoperability, security, and usability.
07 Digital Health Innovations and AI Integration +
This track highlights the intersection of digital health technologies and artificial intelligence. Researchers are invited to discuss how AI can enhance telemedicine, mobile health applications, and patient engagement platforms.
08 Biomedical Data Science: Techniques and Applications +
This session will cover a range of data science techniques applied to biomedical research. Papers should present novel approaches to data analysis that contribute to advancements in understanding diseases and treatment efficacy.
09 AI for Diagnostics: Enhancing Accuracy and Efficiency +
This track focuses on the application of AI in diagnostic processes across various medical fields. Contributions should highlight innovative diagnostic tools and their impact on patient care and outcomes.
10 Electronic Health Records and AI-Driven Insights +
This session will explore how AI can be utilized to extract meaningful insights from electronic health records. Researchers are encouraged to present methodologies that improve patient care through data-driven decision support.
11 Patient Monitoring and AI Technologies +
This track examines the role of AI technologies in real-time patient monitoring and management. Contributions should focus on systems that enhance patient safety and improve chronic disease management through continuous data analysis.
