Cláudio Tinoco Mesquita

Inteligência Artificial em Cardiologia: Conceitos, Ferramentas e Desafios – “Quem Corre é o Cavalo, Você Precisa ser o Jóquei”

2019 · 33 Zit. · Arquivos Brasileiros de Cardiologia

Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - “The Horse is the One Who Runs, You Must Be the Jockey”

2019 · 27 Zit. · PubMed

Ética, Inteligência Artificial e Cardiologia

2020 · 15 Zit. · Arquivos Brasileiros de Cardiologia

Artificial Intelligence and Machine Learning in Cardiology - A Change of Paradigm

2017 · 9 Zit. · International Journal of Cardiovascular Sciences

Machine Learning Algorithms to Detect Sex in Myocardial Perfusion Imaging

2021 · 3 Zit. · Frontiers in Cardiovascular Medicine

Comparative Evaluation of Large Language Models for Patient Guidance on Pyrophosphate Scintigraphy Results

2024 · 0 Zit. · Journal of Nuclear Cardiology

Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - “The Horse is the One Who Runs, You Must Be the Jockey”

2021 · 0 Zit. · Figshare

Use of Artificial Intelligence in Scientific Publications

2025 · 0 Zit. · International Journal of Cardiovascular Sciences

Comparative Analysis of Large Language Models in Nuclear Cardiology: DeepSeek Outperforms ChatGPT in Myocardial Flow Reserve Assessment

2025 · 0 Zit. · Journal of Nuclear Cardiology

The Role of Artificial Intelligence and 3D Printing in Advancing the Diagnosis and Treatment of Cardiomyopathies

2023 · 0 Zit. · ABC Heart Failure & Cardiomyopathy