AIMLA Conference 2026
Conference Themes and Program
AI-Driven Diagnostic Applications in Medical Laboratories
This theme focuses on artificial intelligence applications that enhance diagnostic processes in medical laboratories
This theme focuses on artificial intelligence applications that enhance diagnostic processes in medical laboratories. It includes AI-enabled solutions that improve diagnostic accuracy, support early diseases detection, facilitate intelligent interpretation of laboratory data, and strengthen the integration between laboratory findings and clinical decision making
Smart Automation and Optimization of Laboratory Processes
This theme addresses the role of artificial intelligence in automating and optimizing laboratory workflows.
This theme addresses the role of artificial intelligence in automating and optimizing laboratory workflows. It covers intelligent systems for sample management and tracking, AI-supported resource and supply chains management, and technologies that improve efficiency, reduce turnaround time, and enhance overall laboratory performance.
Big Data and Predictive Analytics in Medical Laboratories
This theme focuses on the use of big Data Analytics and predictive modelling in laboratories.
This theme focuses on the use of big Data Analytics and predictive modelling in laboratories. It includes large-scale analysis of laboratory data for disease surveillance epidemic prediction, development of integrated laboratory -clinical data platforms and AI-based clinical decision support system
Future of the Workforce in Medical Laboratories
This theme explores the impact of artificial intelligence on the medical laboratory workforce
This theme explores the impact of artificial intelligence on the medical laboratory workforce. It covers changes in professional roles, development of digital and AI- related competencies, workforce readiness, and the importance of continuous education and training in emerging technologies
Ethical and governance Issues in AI for Medical laboratories
This theme focuses on ethical, legal, and governance aspects of using artificial intelligence in medical laboratories
This theme focuses on ethical, legal, and governance aspects of using artificial intelligence in medical laboratories including patient data privacy, security of laboratory information, transparency and accountability of AI systems, algorithmic bias, and responsible implantation of AI in healthcare
