XAI for real-time ultrasound imaging in oncology

The integration of AI in healthcare has seen exponential growth, driven by the need to analyze significant amounts of health data, deliver personalized care, and optimize costs. AI systems are now assisting in early detection, medical image analysis, and decision-making, with deep learning (DL) algorithms performing as accurately as human experts.

However, with AI’s increasing complexity comes the challenge of transparency—especially in critical areas like oncology. Explainable AI (XAI) has emerged to address this challenge, offering tools to make AI systems more understandable, build trust with clinicians, and comply with ethical standards.