Assessing DeepSeek-R1 for Clinical Decision Support in Multidisciplinary Laboratory Medicine

DeepSeek-R1 demonstrates potential for a decision-support tool in clinical laboratory medicine, particularly in generating diagnostic hypotheses and recommending diagnostic workups. However, its performance in differential diagnosis and handling specific clinical nuances remains limited. Future work should focus on expanding training data, integrating clinical ontologies, and incorporating physician feedback to improve real-world applicability. DeepSeek-R1 and the new versions under development may be promising tools for non-medical professionals and professionals in medical laboratory diagnoses.

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Publication Details

Journal
Journal of Multidisciplinary Healthcare
Published
2025-08-01
DOI
https://doi.org/10.2147/jmdh.s538253
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Assessing DeepSeek-R1 for Clinical Decision Support in Multidisciplinary Laboratory Medicine

Qiaoxing Li, Xinjian Cai, Lili Zhan
1 citations
Journal of Multidisciplinary Healthcare
Artificial Intelligence in Healthcare and Education
0.65
article

Assessing DeepSeek-R1 for Clinical Decision Support in Multidisciplinary Laboratory Medicine

Qiaoxing Li, Xinjian Cai, Lili Zhan
article en
1 citations

Abstract

DeepSeek-R1 demonstrates potential for a decision-support tool in clinical laboratory medicine, particularly in generating diagnostic hypotheses and recommending diagnostic workups. However, its performance in differential diagnosis and handling specific clinical nuances remains limited. Future work should focus on expanding training data, integrating clinical ontologies, and incorporating physician feedback to improve real-world applicability. DeepSeek-R1 and the new versions under development may be promising tools for non-medical professionals and professionals in medical laboratory diagnoses.

Journal of Multidisciplinary HealthcareVol. Volume 18
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 23%
Artificial Intelligence in Healthcare and Education
0.65
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