Cover Image

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Jiancheng, Bronstein, Sophie, Hai, Jiarui, Hashish, Malak Abu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
by: DeepSeek-AI, et al.
Published: (2024)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)

DeepSeek performs better than other Large Language Models in Dental Cases
by: Zhang, Hexian, et al.
Published: (2025)

Safety Evaluation of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
by: Qiu, Peiran, et al.
Published: (2025)

DeepSeek-V3 Technical Report
by: DeepSeek-AI, et al.
Published: (2024)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
by: DeepSeek-AI, et al.
Published: (2025)

A Comparison of DeepSeek and Other LLMs
by: Gao, Tianchen, et al.
Published: (2025)

Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models
by: Li, Rubing, et al.
Published: (2025)

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
by: DeepSeek-AI, et al.
Published: (2025)

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
by: DeepSeek-AI, et al.
Published: (2024)

Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability
by: Zhang, Yichi, et al.
Published: (2025)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)

Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models
by: Sharma, Shubham, et al.
Published: (2025)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
by: Choudhury, Avishek, et al.
Published: (2025)

A Survey of Large Language Models for Arabic Language and its Dialects
by: Mashaabi, Malak, et al.
Published: (2024)

Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis
by: Zhao, Kaikai, et al.
Published: (2025)

Output Length Effect on DeepSeek-R1's Safety in Forced Thinking
by: Li, Xuying, et al.
Published: (2025)

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
by: Wu, Zhiyu, et al.
Published: (2024)

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
by: Guo, Yuting, et al.
Published: (2025)

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models
by: Zhang, Chong, et al.
Published: (2025)

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
by: Acikgoz, Emre Can, et al.
Published: (2024)

Mixture of Tunable Experts -- Behavior Modification of DeepSeek-R1 at Inference Time
by: Dahlke, Robert, et al.
Published: (2025)

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons
by: So, Chi Chiu, et al.
Published: (2025)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
by: Huang, Donghao, et al.
Published: (2025)

Classifying Cancer Stage with Open-Source Clinical Large Language Models
by: Chang, Chia-Hsuan, et al.
Published: (2024)

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3
by: Sadik, Ahmed R., et al.
Published: (2025)

The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development
by: Ye, Jiancheng, et al.
Published: (2025)

Prompt Sensitivity and Answer Consistency of Small Open-Source Language Models for Clinical Question Answering in Low-Resource Healthcare
by: Hariprasad, Shravani
Published: (2026)

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
by: Ren, Z. Z., et al.
Published: (2025)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
by: Ji, Tao, et al.
Published: (2025)

Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
by: Parmar, Manojkumar, et al.
Published: (2025)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
by: Sands, Brendan, et al.
Published: (2025)

Comparative Evaluation of ChatGPT and DeepSeek Across Key NLP Tasks: Strengths, Weaknesses, and Domain-Specific Performance
by: Etaiwi, Wael, et al.
Published: (2025)

A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
by: Pietroń, Marcin, et al.
Published: (2026)

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)