Antonio Luna

Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology

2019 · 177 Zit. · Journal of the American College of Radiology

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

2023 · 97 Zit. · EBioMedicine

Natural Language Processing in Radiology: Update on Clinical Applications

2022 · 57 Zit. · Journal of the American College of Radiology

Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

2020 · 49 Zit. · Clinical Radiology

Radiology in the era of large language models: the near and the dark side of the moon

2023 · 25 Zit. · European Radiology

Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT

2024 · 17 Zit. · Academic Radiology

AI in radiology: Legal responsibilities and the car paradox

2024 · 16 Zit. · European Journal of Radiology

Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?

2023 · 13 Zit. · European Radiology

Radiology, explicability and AI: closing the gap

2023 · 12 Zit. · European Radiology

Automatic generation of conclusions from neuroradiology MRI reports through natural language processing

2024 · 7 Zit. · Neuroradiology

External validation of AI algorithms in breast radiology: the last healthcare security checkpoint?

2021 · 7 Zit. · Quantitative Imaging in Medicine and Surgery

Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models

2024 · 6 Zit. · Medical & Biological Engineering & Computing

The added value of including thyroid nodule features into large language models for automatic ACR TI-RADS classification based on ultrasound reports

2024 · 5 Zit. · Japanese Journal of Radiology

Manual data labeling, radiology, and artificial intelligence: It is a dirty job, but someone has to do it

2024 · 5 Zit. · Magnetic Resonance Imaging

Imagine there is no paperwork… it’s easy if you try

2024 · 4 Zit. · British Journal of Radiology