<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>22(15)</volume><submitter>Li CP</submitter><pubmed_abstract>&lt;b>Objective:&lt;/b> This study aimed to compare the performance of DeepSeek-R1 and OpenAI-o1 in addressing complex pancreatic ductal adenocarcinoma (PDAC)-related clinical questions, focusing on accuracy, comprehensiveness, safety, and reasoning quality. &lt;b>Methods:&lt;/b> Twenty PDAC-related questions derived from the up-to-date NCCN guidelines for PDAC were posed to both models. Responses were evaluated for accuracy, comprehensiveness, and safety, and chain-of-thought (CoT) outputs were rated for logical coherence and error handling by blinded clinical experts using 5-point Likert scales. Inter-rater reliability, evaluated scores, and character counts by both models were compared. &lt;b>Results:&lt;/b> Both models demonstrated high accuracy (median score: 5 vs. 5, p=0.527) and safety (5 vs. 5, p=0.</pubmed_abstract><journal>International journal of medical sciences</journal><pagination>3868-3877</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12492379</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Punching Above Its Weight: A Head-to-Head Comparison of Deepseek-R1 and OpenAI-o1 on Pancreatic Adenocarcinoma-Related Questions.</pubmed_title><pmcid>PMC12492379</pmcid><pubmed_authors>Jia WW</pubmed_authors><pubmed_authors>Hakenberg P</pubmed_authors><pubmed_authors>Reißfelder C</pubmed_authors><pubmed_authors>Chu Y</pubmed_authors><pubmed_authors>Yang C</pubmed_authors><pubmed_authors>Sandra-Petrescu F</pubmed_authors><pubmed_authors>Li CP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Punching Above Its Weight: A Head-to-Head Comparison of Deepseek-R1 and OpenAI-o1 on Pancreatic Adenocarcinoma-Related Questions.</name><description>&lt;b>Objective:&lt;/b> This study aimed to compare the performance of DeepSeek-R1 and OpenAI-o1 in addressing complex pancreatic ductal adenocarcinoma (PDAC)-related clinical questions, focusing on accuracy, comprehensiveness, safety, and reasoning quality. &lt;b>Methods:&lt;/b> Twenty PDAC-related questions derived from the up-to-date NCCN guidelines for PDAC were posed to both models. Responses were evaluated for accuracy, comprehensiveness, and safety, and chain-of-thought (CoT) outputs were rated for logical coherence and error handling by blinded clinical experts using 5-point Likert scales. Inter-rater reliability, evaluated scores, and character counts by both models were compared. &lt;b>Results:&lt;/b> Both models demonstrated high accuracy (median score: 5 vs. 5, p=0.527) and safety (5 vs. 5, p=0.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-05-05T03:20:32.726Z</modification><creation>2026-05-05T03:12:54.95Z</creation></dates><accession>S-EPMC12492379</accession><cross_references><pubmed>41049443</pubmed><doi>10.7150/ijms.118887</doi></cross_references></HashMap>