Welcome to

International Conference on Radiology, Medical Lasers, Imaging and Devices
(ICRMLID-2026)

A global academic platform for research, innovation, and collaboration

Organized by

International Academic Research Forum (IARF)

 
Conference Date
21st - 22nd September 2026
 
Conference Location
Larnaca , Cyprus
 
Mode of Conference
Hybrid

Conference Session Tracks

Focused research themes driving global academic dialogue and innovation

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.

Goals We Support

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
Session Tracks
Track 01
Advancements in Radiation Oncology

This track focuses on the latest innovations and techniques in radiation oncology, emphasizing their impact on cancer treatment outcomes. Participants will explore emerging technologies and methodologies that enhance precision and efficacy in radiation therapy.

Track 02
Trends in Radiology Technology

This session will examine current trends in radiology technology, including the integration of artificial intelligence and machine learning. Discussions will highlight how these advancements are transforming diagnostic imaging and patient care.

Track 03
Innovations in Cancer Detection

This track will delve into novel approaches for early cancer detection, showcasing breakthroughs in imaging techniques and biomarkers. Researchers will present findings that illustrate the potential for improved diagnostic accuracy and patient outcomes.

Track 04
Physics of Medical Imaging

This session will cover the fundamental principles of medical imaging physics, including the underlying technologies and methodologies. Attendees will gain insights into how physics informs the development of advanced imaging modalities.

Track 05
Image Processing Techniques in Medicine

This track will explore cutting-edge image processing techniques that enhance medical imaging quality and diagnostic capabilities. Presentations will focus on algorithms and software solutions that facilitate improved image analysis and interpretation.

Track 06
Computer-Aided Diagnosis and Decision Support

This session will investigate the role of computer-aided diagnosis systems in enhancing clinical decision-making. Experts will discuss the integration of these technologies into routine practice and their implications for patient management.

Track 07
Robotic Interventions and Image-Guided Procedures

This track will highlight advancements in robotic interventions and their synergy with imaging technologies. Presentations will cover the latest techniques in minimally invasive procedures guided by real-time imaging.

Track 08
PACS and Imaging Informatics Innovations

This session will focus on the evolution of Picture Archiving and Communication Systems (PACS) and their role in imaging informatics. Discussions will address next-generation solutions that enhance data management and accessibility in radiology.

Track 09
Molecular and Functional Imaging Applications

This track will explore the applications of molecular and functional imaging in various biomedical fields. Participants will learn about the latest research and technologies that enable visualization of biological processes at the molecular level.

Track 10
Pediatric and Thoracic Imaging Techniques

This session will focus on specialized imaging techniques for pediatric and thoracic patients, addressing unique challenges and considerations. Experts will share insights into best practices and advancements in these critical areas of radiology.

Track 11
Neuroimaging and Cognitive Assessment

This track will examine the latest developments in neuroimaging techniques and their applications in cognitive assessment. Presentations will highlight how imaging contributes to understanding brain function and diagnosing neurological disorders.