“Artificial Intelligence (AI) Driven Diagnostics: Transforming Medical Laboratory Science and Global Health for the 21st century”

The 21st century has ushered in a new era of medical innovation, with Artificial Intelligence (AI) poised to revolutionize diagnostics in medical laboratory science and global health. The International Conference on AI-Driven Diagnostics, organized by the Guild of Medical Laboratory Directors in Nigeria, will explore how cutting-edge AI technologies are transforming medical diagnostics, enhancing the accuracy and efficiency of disease detection, and driving significant advancements in patient care.

This conference will bring together leading experts, researchers, and practitioners from Nigeria and around the globe to discuss the latest breakthroughs, share insights, and collaborate on pioneering solutions that address pressing health challenges. Attendees will delve into the integration of AI in various diagnostic processes, from imaging and pathology to genomics and personalized medicine, and examine its impact on healthcare delivery in both developed and developing regions, with a particular focus on the Nigerian context.

By highlighting the transformative potential of AI in diagnostics, the conference aims to foster innovation, improve health outcomes, and pave the way for a healthier future in Nigeria and beyond.

• THEME & SUB-THEMES

01

Keynote Address

Artificial Intelligence (AI) Driven Diagnostics: Transforming Medical Laboratory Science and Global Health for the 21st century

02

Deploying the Power of AI to Combat Quackery in Medical Laboratory Science

Utilizing AI to ensure the credibility and quality of medical laboratory practices

03

Genomic Diagnostics and AI

Leveraging AI to decode genetic data for personalized medicine and treatment, enhancing the precision and personalization of healthcare interventions.

04

Role of AI in Laboratory Data Management

Enhancing data accuracy, security, and efficiency in medical laboratories through AI applications, ensuring reliable and timely diagnostics.

05

Predictive Analytics in Disease Prevention

Utilizing AI to forecast disease outbreaks and prevent epidemics, enabling proactive public health responses and minimizing the impact of infectious diseases.

06

Telelaboratory medicine and Remote Diagnostics

The role of AI in expanding access to diagnostic services via telelaboratorymedicine, overcoming geographical barriers and improving healthcare delivery in remote and underserved areas

07

Ethical and Legal Considerations of AI in Diagnostics

Addressing the ethical, legal, and regulatory challenges of implementing AI in healthcare, ensuring responsible and fair use of AI technologies in diagnostics.

08

AI and Antimicrobial Resistance

Innovative AI solutions to detect, monitor, and combat antimicrobial resistance, improving treatment outcomes and managing public health risks associated with resistant pathogens.

09

Global Health and AI

Applying AI-driven diagnostics to improve health outcomes in low-resource settings and underserved populations, bridging gaps in healthcare access and quality across different regions