ICADSHI · Registering as Listener

International Conference on AI and Data Science for Healthcare Informatics

📅 28–29 Jun 2027 📍 Stavanger, Norway 👤 Standard / Listener

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$185

virtual · $185 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the development and implementation of AI technologies in clinical decision support systems. It aims to explore how these systems can enhance diagnostic accuracy and improve patient outcomes.

This session will delve into the application of predictive analytics in healthcare settings, emphasizing the use of machine learning algorithms to forecast patient outcomes. Participants will discuss methodologies for integrating predictive models into clinical workflows.

This track examines innovative approaches to analyzing patient records using data science techniques. The focus will be on improving data management practices and enhancing the quality of patient care through informed decision-making.

This session addresses the role of AI and data science in disease surveillance and public health informatics. Discussions will center on the development of systems that can detect and respond to health threats in real-time.

This track highlights the integration of AI in medical imaging, focusing on techniques that enhance image analysis and interpretation. Participants will explore the impact of these advancements on diagnostic processes and treatment planning.

This session will cover the application of data science and AI in the drug discovery process. Emphasis will be placed on computational methods that streamline the identification and development of new therapeutic agents.

This track explores methodologies for integrating diverse biomedical data sources to facilitate comprehensive analysis. The aim is to enhance research outcomes and clinical applications through improved data interoperability.

This session focuses on the challenges and opportunities presented by big data in healthcare. Discussions will include analytical techniques that can harness large datasets to drive insights and inform policy decisions.

This track investigates the intersection of personalized medicine and artificial intelligence. Participants will discuss how AI can tailor treatment plans to individual patient profiles, improving therapeutic efficacy.

This session will explore the latest innovations in health IT and their implications for healthcare delivery. Emphasis will be placed on successful implementation strategies that enhance system usability and patient engagement.

This track examines the role of analytics in optimizing hospital management practices. Discussions will focus on data-driven strategies that improve operational efficiency and patient satisfaction in healthcare facilities.