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Artificial intelligence (AI) is increasingly being integrated into healthcare, aiding doctors in complex medical decisions. Large language models (LLMs), like ChatGPT, are showing promise in diagnosing conditions, while their effectiveness in treatment planning and risk assessment is still under investigation. Research indicates that AI can enhance physicians' decision-making capabilities, leading to improved diagnosis and treatment outcomes when used alongside traditional methods.
Despite the encouraging results, the current findings are based on hypothetical scenarios rather than real patient interactions. Future research must focus on testing AI in actual clinical environments to validate its effectiveness. While AI has the potential to expedite and improve decision-making, concerns about overreliance and the necessity for structured prompts remain critical considerations.
• AI enhances decision-making in healthcare, improving diagnosis and treatment outcomes.
• Future testing of AI in clinical settings is essential for real-world application.
AI is utilized in healthcare to assist doctors in making complex medical decisions.
LLMs like ChatGPT are proving useful in diagnosing medical conditions.
AI serves as a decision-support tool, enhancing physicians' ability to manage difficult cases.
ChatGPT is a large language model that aids in diagnosing medical conditions and decision-making.
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