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Consorci Institut D'Investigacions Biomediques August Pi I Sunyer

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial intelligence to support clinical decision-making processes

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

2019 · 149 Zit.

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology

Roxana Daneshjou, Catarina Barata, Brigid Betz‐Stablein et al.

2021 · 143 Zit.

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

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 137 Zit.

Machine Learning in Fetal Cardiology: What to Expect

Patricia García‐Canadilla, Sergio Sanchez‐Martinez, F. Crispi et al.

2020 · 119 Zit.

Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging

Sergio Sanchez‐Martinez, Óscar Cámara, Gemma Piella et al.

2022 · 86 Zit.

Can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study

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

2024 · 80 Zit.

Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies

Gerard Anmella, Miriam Sanabra, Mireia Primé‐Tous et al.

2023 · 64 Zit.

Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives

Alan G. Fraser, Elisabetta Biasin, Bart Bijnens et al.

2023 · 62 Zit.

Can Artificial Intelligence Improve the Management of Pneumonia

Mariana Chumbita, Catia Cillóniz, Pedro Puerta‐Alcalde et al.

2020 · 52 Zit.

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena et al.

2023 · 49 Zit.

Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.

2023 · 43 Zit.

Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future

Darragh O’Reilly, Jennifer L. McGrath, Ignacio Martín‐Loeches

2023 · 39 Zit.

Erratum to: Making sense of big data in health research: towards an EU action plan

Charles Auffray, Rudi Balling, Inês Barroso et al.

2016 · 27 Zit.

La integración de la inteligencia artificial en el abordaje clínico del paciente: enfoque en la imagen cardiaca

Filip Lončarić, Óscar Cámara, Gemma Piella et al.

2020 · 20 Zit.

Integration of artificial intelligence into clinical patient management: focus on cardiac imaging

Filip Lončarić, Óscar Cámara, Gemma Piella et al.

2020 · 19 Zit.