Lorenzo Famiglini

Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems

2024 · 34 Zit. · Computers in Biology and Medicine

How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data

2022 · 33 Zit. · Clinical Chemistry and Laboratory Medicine (CCLM)

Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine

2022 · 15 Zit. · Journal of Personalized Medicine

Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning

2022 · 14 Zit. · Lecture notes in computer science

Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice

2023 · 10 Zit. · Lecture notes in computer science

Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making

2023 · 6 Zit. · Communications in computer and information science

Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray Images

2024 · 2 Zit. · Methods of Information in Medicine

Through the looking glass: Understanding the value of visual aided diagnosis through AI generated saliency maps

2022 · 1 Zit. · Brain and Spine