Exploring the Potential of DeepSeek-R1 Model in Transforming Healthcare Solutions: An Overview
Over the past few decades, artificial intelligence (AI) has become more integrated into healthcare, with Large Language Models (LLMs) being a key component in improving healthcare decision-making. These LLMs' capacity to produce and interpret human-like texts has the potential to revolutionize healthcare procedures, where efficient data processing and communication are crucial. DeepSeek-Rl, created by DeepSeek AI, has drawn notice globally for its reasoning-based design that uses reinforcement learning (RL) to enhance problem-solving skills. Keeping this in view, the paper emphasizes the significance of the DeepSeek- Rl model and its application in the healthcare industry. Highlighting some hypothetical potential scenarios, we believe that DeepSeek models can playa crucial role in transforming existing medical approaches and revolutionizing the future of AI in health care.
Authors
- Asaf Varol (ORCID: https://orcid.org/0000-0003-1606-4079)
- Muhammad Raheel Raza (ORCID: https://orcid.org/0000-0002-6305-2583)
- Fahad Ahmed Khokhar (ORCID: https://orcid.org/0009-0008-7890-4639)
- Sabina Ahmed
Institutions
- Koblenz University of Applied Sciences (DE)
- University of Tennessee at Chattanooga (US)
- Universität Koblenz (DE)
- University of Florence (IT)
- Australian Catholic University (AU)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/isdfs65363.2025.11012057
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94