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Hybrid Event

19th - 20th October 2026 | Dallas, USA

International Conference on Laboratory Medicine and Artificial Intelligence (ICLMAI - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICLMAI) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Lab Medicine, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
AI applications in laboratory diagnostics
02
Machine learning in laboratory medicine
03
Impact of AI on patient outcomes
04
Ethical considerations of AI in labs
05
AI-driven laboratory automation technologies
06
Data analysis using artificial intelligence
07
AI in predictive diagnostics and testing
08
Integration of AI in laboratory workflows
09
Challenges in implementing AI in labs
10
Future of AI in laboratory medicine
11
AI and laboratory quality assurance
12
Collaboration between AI and laboratory professionals
13
AI for personalized medicine in diagnostics
14
Regulatory issues surrounding AI in labs
15
AI's role in laboratory research innovations
16
Data privacy concerns with AI applications
17
AI-enhanced decision-making in laboratories
18
Training laboratory staff for AI integration
19
AI in laboratory data management systems
20
Impact of AI on laboratory efficiency

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.