Umeå University

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke et al.

2020 · 349 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 222 Zit.

Explainable Agents and Robots: Results from a Systematic Literature Review

Sule Anjomshoae, Amro Najjar, Davide Calvaresi et al.

2019 · 200 Zit.

How to teach responsible AI in Higher Education: challenges and opportunities

Andrea Aler Tubella, Marçal Mora‐Cantallops, Juan Carlos Nieves

2023 · 90 Zit.

AI, Opacity, and Personal Autonomy

Bram Vaassen

2022 · 64 Zit.

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.

2021 · 64 Zit.

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Roberto V. Zicari, James Brusseau, Stig Nikolaj Fasmer Blomberg et al.

2021 · 51 Zit.

A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease

Subasish Mohapatra, Sushree Maneesha, Subhadarshini Mohanty et al.

2022 · 48 Zit.

Patients' perspectives related to ethical issues and risks in precision medicine: a systematic review

Lawko Ahmed, Anastasia Constantinidou, Andreas Chatzittofis

2023 · 46 Zit.

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Luis Martí‐Bonmatí, Dow‐Mu Koh, Katrine Riklund et al.

2022 · 31 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 31 Zit.

Responsible Artificial Intelligence --- From Principles to Practice

Virginia Dignum

2022 · 31 Zit.

Artificial intelligence and the medical physics profession - A Swedish perspective

Jonas Andersson, Tufve Nyholm, Crister Ceberg et al.

2021 · 18 Zit.

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.

2025 · 17 Zit.

Artificial Intelligence–Powered Technologies for the Management of Vascular Diseases: Building Guidelines and Moving Forward Evidence Generation

Fabien Lareyre, Anders Wanhainen, Juliette Raffort

2023 · 14 Zit.