Hybrid Conferencee

International Conference on Artificial Intelligence in Medical Applications (ICAIMA - 27)

14th - 15th June 2027 | Zurich, Switzerland
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Zurich. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Zurich event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Zurich conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Zurich, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Zurich."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Artificial Intelligence Techniques in Health Sciences

This track focuses on the latest advancements in artificial intelligence methodologies specifically tailored for health sciences. Contributions will explore innovative AI techniques that enhance diagnosis, treatment, and patient care.

Track 02

Knowledge Management of Medical Data

This session addresses the challenges and solutions related to managing vast amounts of medical data. It will highlight strategies for effective knowledge extraction, sharing, and application in clinical settings.

Track 03

Data Mining and Knowledge Discovery in Medicine

This track emphasizes the role of data mining in uncovering hidden patterns and insights within medical datasets. Researchers are invited to present novel approaches that facilitate knowledge discovery in healthcare.

Track 04

Health Care Information Systems

This session explores the integration of artificial intelligence in health care information systems. Discussions will focus on improving system efficiency, data interoperability, and patient outcomes through AI technologies.

Track 05

Medical Image Processing and Techniques

This track is dedicated to advancements in medical image processing facilitated by artificial intelligence. Presentations will cover innovative techniques that enhance image analysis, interpretation, and diagnostic accuracy.

Track 06

Medical Expert Systems

This session will delve into the development and application of medical expert systems powered by AI. Contributions will discuss how these systems can support clinical decision-making and improve patient care.

Track 07

Machine Learning-based Medical Systems

This track focuses on the application of machine learning algorithms in medical systems. Researchers will present their findings on how these technologies can optimize diagnostics, treatment planning, and patient monitoring.

Track 08

Neural Networks in Medicine

This session highlights the utilization of neural networks in various medical applications. Contributions will explore their effectiveness in tasks such as disease prediction, image classification, and personalized medicine.

Track 09

Social Aspects of AI in Medicine

This track examines the ethical, social, and cultural implications of integrating AI into medical practice. Discussions will focus on patient privacy, consent, and the societal impact of AI-driven healthcare solutions.

Track 10

Ambient Intelligence in Health Care

This session explores the concept of ambient intelligence and its applications in health care settings. Presentations will discuss how pervasive computing technologies can enhance patient monitoring and care delivery.

Track 11

Diagnoses and Therapy Support Systems

This track focuses on the development of AI-driven systems that assist in diagnosis and therapeutic decision-making. Contributions will highlight innovative solutions that enhance clinical workflows and patient outcomes.