Large language models in biomedicine and healthcare
8.0
来源：
Nature
关键字：
AI brain science
发布时间：
2025-12-01 23:33
摘要：
Large language models (LLMs) are revolutionizing biomedicine and healthcare by improving clinical diagnostics, enhancing drug discovery, and facilitating patient engagement. They analyze vast amounts of unstructured data, leading to more accurate diagnoses and personalized treatments. However, the integration of LLMs faces challenges such as data privacy, algorithmic bias, and the need for ethical considerations. Addressing these issues is crucial for the safe and effective use of LLMs in clinical settings.
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价值维度分析
domain_focus
1.0
business_impact
1.0
scientific_rigor
1.5
timeliness_innovation
1.5
investment_perspective
2.5
market_value_relevance
1.0
team_institution_background
0.0
technical_barrier_competition
0.5
关键证据
LLMs are driving transformative change in clinical diagnostics and drug discovery.
The integration of LLMs into healthcare presents significant challenges, including data privacy and algorithmic bias.
LLMs enhance patient engagement through personalized interactions and telemedicine.
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AI评分总结
Large language models (LLMs) are revolutionizing biomedicine and healthcare by improving clinical diagnostics, enhancing drug discovery, and facilitating patient engagement. They analyze vast amounts of unstructured data, leading to more accurate diagnoses and personalized treatments. However, the integration of LLMs faces challenges such as data privacy, algorithmic bias, and the need for ethical considerations. Addressing these issues is crucial for the safe and effective use of LLMs in clinical settings.