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ChatGPT Interactive Medical Simulations for Early Clinical Education: Case Study

ChatGPT Interactive Medical Simulations for Early Clinical Education: Case Study

His vital signs are as follows: Heart rate: 120 bpm Blood pressure: 90/60 mm Hg Respiratory rate: 28 breaths per minute Oxygen saturation: 88% on Fi O2 of 80% Temperature: 101.5°F (38.6°C) Now, it’s time for you to make decisions on the next steps of management. What would you do? Question 1: What would be your initial action to address the patient’s hypoxemia? (Your response here) Increase Fi O2 to 100%. Increase tidal volume.  Thank you for your response.

Riley Scherr, Faris F Halaseh, Aidin Spina, Saman Andalib, Ronald Rivera

JMIR Med Educ 2023;9:e49877

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

(F) Comparison of FKGL between GPT-4 and GPT-3.5 for diabetes outputs at the high school level, analyzed with an unpaired 2-tailed t test. (G) Comparison of FKRE between GPT-4 and GPT-3.5 for diabetes outputs at the bachelor’s level, analyzed with an unpaired 2-tailed t test. (H) Comparison of FKGL between GPT-4 and GPT-3.5 for diabetes outputs at the bachelor’s level, analyzed with an unpaired 2-tailed t test. FKRE: Flesch reading ease score; FKGL: Flesch-Kincaid grade level.

Aidin Spina, Saman Andalib, Daniel Flores, Rishi Vermani, Faris F Halaseh, Ariana M Nelson

JMIR AI 2024;3:e54371

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