Constantinos S. Pattichis

What do we need to build explainable AI systems for the medical domain?

2017 · 632 Zit. · arXiv (Cornell University)

AI in Medical Imaging Informatics: Current Challenges and Future Directions

2020 · 625 Zit. · IEEE Journal of Biomedical and Health Informatics

Radiogenomics for Precision Medicine With a Big Data Analytics Perspective

2018 · 65 Zit. · IEEE Journal of Biomedical and Health Informatics

Explainable AI applications in the Medical Domain: a systematic review

2023 · 18 Zit. · arXiv (Cornell University)

Model Agnostic Explainability Techniques in Ultrasound Image Analysis

2021 · 5 Zit. · 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)

AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review

2023 · 4 Zit.

AI-based solutions for predicting sepsis in ICUs

2023 · 3 Zit.

Emergency Department Triage Hospitalization Prediction Based on Machine Learning and Rule Extraction

2023 · 2 Zit.

Medical & healthcare robotics: a roadmap for enhanced precision, safety, and efficacy

2025 · 2 Zit. · Measurement Science and Technology

Interactive Explanation Spaces for Understanding AI Predictions in Cardiovascular Disease Risk

2025 · 0 Zit.

Telemedicine and the European Health Data Space: a new paradigm for healthcare in the EU

2026 · 0 Zit. · Frontiers in Digital Health

An Explainable AI System for Clinical Decision Support in Schwannomatosis

2025 · 0 Zit. · IFIP advances in information and communication technology