Track: AI Driven Dermato Oncology

AI Driven Dermato Oncology will begin by exploring AI-powered imaging and pattern recognition technologies for early identification of melanoma, basal cell carcinoma, squamous cell carcinoma, and other cutaneous malignancies.

Predictive Analytics and Risk Assessment

Participants will learn how machine learning models analyze patient data to predict disease progression, recurrence risk, and treatment response, enabling personalized management strategies.

Integration with Clinical Practice

This segment will examine practical applications of AI in dermato-oncology, including digital triage systems, clinical decision support, and workflow optimization to improve patient outcomes.

Ethics, Validation, and Regulatory Considerations

The session will conclude with discussions on clinical validation, data privacy, ethical considerations, and regulatory compliance for AI-driven tools in dermatologic oncology, highlighting safe and responsible implementation.

Future Directions

Emerging AI technologies and their potential to transform research, early intervention, and personalized treatment in dermato-oncology will also be explored.

International Conference on Cosmetology and Skin Care

Track: AI Driven Dermato Oncology

Scientific Highlights

Organization Location

Mail us at

Our Social Presence

Call us at