The field of explainable artificial intelligence (XAI) advances techniques, processes, and strategies that provide explanations for the predictions, recommendations, decisions opaque complex machine learning systems. Increasingly academic libraries are providing library users with systems, services, collections created delivered by learning. Academic should adopt XAI as a tool set to verify val...

Background In recent years, with advancements in science and technology, artificial intelligence (AI) has been gaining more relevance the field of dentistry general, as well endodontics. AI-guided algorithms have a great potential to better diagnose, treatment plan, execute endodontic treatments, outcome prediction various treatments. A review literature was conducted assess application AI endo...

The microscopic diagnosis of cancer remains challenging. Recent data from our group within the French (nationwide) LymphoPath network shows that 20% diagnoses are inaccurate, with direct impact on patient care. Indeed, molecular techniques, not affordable for all pathology departments, have become critical final diagnosis. Currently, automated solutions could help pathologists diagnostic decisi...