Complejo Hospitalario de Jaén

Natural Language Processing in Radiology: Update on Clinical Applications

Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Krishna Juluru et al.

2022 · 59 Zit.

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

Teodoro Martín‐Noguerol, Félix Paulano‐Godino, Ricard López‐Ortega et al.

2020 · 49 Zit.

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

Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Antonio Luna

2023 · 25 Zit.

AI in radiology: Legal responsibilities and the car paradox

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Antonio Luna

2024 · 19 Zit.

Radiology, explicability and AI: closing the gap

Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Antonio Luna

2023 · 12 Zit.

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

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Félix Paulano‐Godino et al.

2024 · 5 Zit.

Large language models in Radiology: The importance of fine-tuning and the fable of the luthier

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Antonio Luna

2024 · 4 Zit.

Reply to the Letter to the Editor: “Radiology in the era of large language models: additional facts to consider in the near and the dark side of the moon”

Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Antonio Luna

2023 · 4 Zit.

Natural language processing-based analysis of the level of adoption by expert radiologists of the ASSR, ASNR and NASS version 2.0 of lumbar disc nomenclature: an eight-year survey

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Félix Paulano‐Godino et al.

2024 · 2 Zit.

Natural language processing and LLMs in liver imaging: a practical review of clinical applications

Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Antonio Luna

2025 · 2 Zit.

Artificial Intelligence in Radiology: A Fast-Food Versus Slow-Food Question?

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Antonio Luna

2023 · 1 Zit.

Radiology Board-Style Examinations and LLMs: A Scoping Review of Model Performance

Pilar López-Úbeda, Teodoro Martín-Noguerol, Antonio Luna

2026 · 1 Zit.

High Accuracy but Low Explainability: The Challenge of Explainable Artificial Intelligence in Multiple Sclerosis Assessment From Magnetic Resonance Imaging Radiology Reports

T Martín-Noguerol, Pilar López-Úbeda, Jorge Escartin et al.

2026 · 0 Zit.

Green Radiology and the Periodic Cartoon-Style ChatGPT Trends: A Wake-Up Call for Sustainable AI Use

T Martín-Noguerol, Pilar López-Úbeda, Antonio Luna

2026 · 0 Zit.

AI-dependence day

Teodoro Martín-Noguerol, Pilar López-Úbeda, Antonio Luna

2026 · 0 Zit.