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Applicability of Artificial Intelligence-Enabled Chatbots in Medical Physics.

Avinav Bharati¹, Deepsekhar Das², Susama R Mandal¹

¹Medical Physics, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.

|July 12, 2026

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This study evaluated AI chatbots for medical physics in oncology, finding DeepSeek performed best in correctness and completeness. While AI shows potential, human expertise remains crucial for optimal healthcare delivery.

Area of Science:

Medical Physics
Oncology
Artificial Intelligence

Background:

Artificial intelligence (AI) chatbots are increasingly utilized in healthcare.
Their application in medical physics, particularly in oncology, presents significant future potential.
Evaluating AI performance in specialized fields is crucial for understanding their utility.

Purpose of the Study:

To assess the performance of three AI chatbots: ChatGPT, DeepSeek, and Gemini.
To evaluate their responses to queries in medical physics within the oncology domain.
To compare chatbots based on correctness, completeness, understandability, reliability, and applicability.

Main Methods:

Medical physics experts formulated 11 oncology-related questions.
The questions were posed to ChatGPT 5.2, DeepSeek V 3.2, and Gemini 3.0.

Keywords:

artificial intelligence (ai)chatbots chatgpt deepseek gemini

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Responses were evaluated by three experts using predefined metrics.

Main Results:

DeepSeek achieved the highest mean correctness score (3.81) and provided the most complete responses (10 out of 11).
ChatGPT scored 3.4 and Gemini scored 3.09 for correctness.
No significant differences were observed in the real-world applicability scores among the models.

Conclusions:

DeepSeek demonstrated superior performance in correctness and completeness compared to ChatGPT and Gemini.
Current AI chatbots do not fully replicate human intelligence in medical physics accuracy or applicability.
A collaborative approach integrating AI chatbots with medical professionals is recommended for enhanced healthcare.