DATICAN_Conf_26: DATICAN Conference Online Lagos, Nigeria, May 13-14, 2026 |
| Conference website | https://conferences.datican.org/ |
| Submission link | https://easychair.org/conferences/?conf=datican-first-conf-2 |
| Poster | download |
| Abstract registration deadline | March 31, 2026 |
| Submission deadline | April 1, 2026 |
DATICAN_Conf_26
Improving Medical Diagnostics in Nigeria Using AI and Data Science
Aligned with its mission to advance healthcare delivery in Nigeria through data science and medical image analysis training, the Data Science and Medical Image Analysis for Improved Healthcare Delivery in Nigeria (DATICAN) project is proud to announce its first international conference.
This conference will establish a platform for dialogue and knowledge exchange among key stakeholders, exploring transformative AI-driven solutions and fostering collaborations that directly address Nigeria’s healthcare challenges.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Abstract Submission Requirements:
- Title, abstract (250 words maximum)
- 4–5 keywords
- Authors' names, affiliation(s), and email address(es)
- Font: Times New Roman, Size 12
Full Paper Submission:
- Length: 5-6 pages
- Single-spaced, Two-column format
- IEEE referencing style
- Font: Times New Roman, Size 12
List of Topics
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• AI-Powered Medical Imaging and Radiology
• Data Science for Early Disease Prediction, Screening, and Detection
• Big Data and Precision Medicine for Cancer Care
• AI-Driven Pathology and Laboratory Diagnostics
• Wearable Technology and early health warning system
• Smart Hospitals
• Capacity Building for AI in medicine, Oncology and Biological Research
• AI Innovation, Startups, and Entrepreneurship in Health Technology
• Ethical, Legal, and Quality issues in AI Health care Deployment
• Genomic Data Analysis using AI and Data Science
• Synthetic Generation of Medical Data Using AI
• Electronic Medical Records and Health Data Infrastructure
• Environmental Data, AI, and Infectious Disease
• Bias and Fairness in AI Healthcare Solutions
• Global Health Research Refinement
Committees
Program Committee
- Prof. Benjamin Aribisala
- Prof. Stefen Sammet
- Prof. Adewale Ogunde
Organizing committee
- Prof. Bolanle Oladejo
- Dr. Mary Adedoyin
- Dr. Oluropo Macaulay
Venue
The conference will be held online
Contact
All questions about submissions should be emailed to manager.datican@gmail.com
