Extraction of clinical findings from mammography and breast ultrasound reports: a comparison between specialists and Artificial Intelligence

arXiv:2609.31974 · cs.CL, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: 16 pages, 10 figures, 3 tables. Submitted to Artificial Intelligence in Medicine

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Prompt Engineering — 12× in this paper · explained in 4 episodes
Accuracy — 8× in this paper · explained in 1 episode
Hallucination — 6× in this paper · explained in 3 episodes
Large Language Model — 5× in this paper
Benchmark — 4× in this paper · explained in 2 episodes
Artificial Intelligence — 3× in this paper
False Positive — 3× in this paper
Fine-Tuning — 3× in this paper · explained in 5 episodes
Named Entity Recognition — 3× in this paper
Adaptability — 2× in this paper · explained in 1 episode
Artificial Intelligence (AI) — 2× in this paper · explained in 2 episodes
False Negative — 2× in this paper
Generative AI — 2× in this paper · explained in 2 episodes
RAG — 2× in this paper · explained in 3 episodes
Transformer — 2× in this paper · explained in 2 episodes
True Negatives — 2× in this paper
True Positives — 2× in this paper
Verification — 2× in this paper · explained in 2 episodes
Attention Mechanism — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Named Entity Recognition (NER) — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes

Sources

The Few-shot Dilemma: Over-prompting Large Language Models

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