Universitat de Barcelona

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al.

2024 · 463 Zit.

The Lancet Commission on diagnostics: transforming access to diagnostics

K A Fleming, Susan Horton, Michael L. Wilson et al.

2021 · 393 Zit.

Pandemic publishing poses a new COVID-19 challenge

Adam Palayew, Ole Nørgaard, Kelly Safreed‐Harmon et al.

2020 · 270 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 · 219 Zit.

Artificial intelligence to support clinical decision-making processes

Carolina García‐Vidal, Gemma Sanjuan, Pedro Puerta‐Alcalde et al.

2019 · 146 Zit.

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

Oliver Díaz, Kaisar Kushibar, Richard Osuala et al.

2021 · 137 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 124 Zit.

Misconduct Policies in High-Impact Biomedical Journals

Xavier Bosch, Cristina Hernández, Juan M. Pericàs et al.

2012 · 110 Zit.

Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models

Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al.

2023 · 85 Zit.

A Delphi consensus statement for digital surgery

Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.

2022 · 76 Zit.

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

Richard Osuala, Kaisar Kushibar, Lidia Garrucho et al.

2022 · 72 Zit.

Can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study

Naweed Shifai, Remco van Doorn, Josep Malvehy et al.

2024 · 72 Zit.

Use of generative artificial intelligence in the training of journalists: challenges, uses and training proposal

Carlos Lopezosa, Lluís Codina, Carles Pont‐Sorribes et al.

2023 · 71 Zit.

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis et al.

2023 · 70 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 68 Zit.