Explainable Artificial intelligence in Bioinformatics

Projekt → Real-time inversion using self-explainable deep learning driven by expert knowledge IN-DEEP is a European Doctoral Network composed of nine doctoral candidates (DCs) and top scientists with complementary areas of… Beitrag ansehen → Projekt → Self-interpretability of human cognition: How reportable knowledge emerges in learning Current artificial intelligence (AI) surpasses human-level performance in a vast range of tasks. However, its decisional processe… Beitrag ansehen → Projekt → COMPUTER-AIDED EFFECTIVE FRACTURE RISK STRATIFICATION OF PATIENTS WITH VERTEBRAL METASTASES FOR PERSONALISED TREATMENT THROUGH ROBUST COMPUTATIONAL MODELS VALIDATED IN CLINICAL SETTINGS Cancer patients (2.7M in Europe) with a positive prognosis are exposed to a high incidence of secondary tumours (≈1M). Bone metas… Beitrag ansehen → Projekt → Explainable AI in High-Stakes Decision Making: Beyond Accuracy Artificial Intelligence (AI) is increasingly shaping high-stakes decision-making across healthcare, finance, criminal justice, de… Beitrag ansehen → Projekt → Implementing Explainable AI for Early Detection of Chronic Kidney Disease: Strategic Insights for Health Information Systems Management Early detection of Chronic Kidney Disease plays an essential role in achieving better medical results together with minimizing ex… Beitrag ansehen → Projekt → Graph Neural Networks for Explainable Artificial Intelligence GraphNEx will contribute a graph-based framework for developing inherently explainable AI. Unlike current AI systems that utilise… Beitrag ansehen →