the licensing exam doctor in the United States it is a national standard examination called the United States Medical Licensing Examination (USMLE). This multi-part exam assesses the skills, knowledge, and clinical competencies of US medical license applicants. It is generally a requirement to practice medicine in hospitals and clinics across the country.
The big surprise of the year, ChatGPT, has surprised everyone. That's because the tool is capable of passing the US medical licensing exam. Come and understand!
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The exam is known for its difficulty, which typically requires around 300 to 400 hours of preparation to complete and ranges from basic science concepts to bioethics. It consists of three phases, namely:
- USMLE Step 1: assesses basic knowledge of the fundamental medical sciences, including biology, chemistry, physiology, anatomy, and pathology. It consists of a series of multiple choice questions.
- USMLE Step 2: assesses the candidate's ability to apply clinical knowledge in real medical situations. It is divided into two parts:
- USMLE Step 3: is an exam that assesses a candidate's ability to manage patients in complex clinical situations, including hospitalized patients and patients with various medical conditions.
ChatGPT
Researchers published an article in which they said that “the ChatGPTperformed at or near the passing threshold for all three exams without any training or specialized reinforcement”, in addition, he demonstrated a high level of agreement and perception in his explanations”. Very bizarre isn't it?!
ChatGPT is just an artificial intelligence tool, but by analyzing a large amount of material on the web, it is capable of constructing sentences on virtually any topic.
After a test, ChatGPT scored between 52.4% and 75% on all three exams (the passing grade is usually around 60%). In 88.9% of their responses, it produced at least one important and meaningful insight, described as something “new, non-obvious and clinically valid” by the researchers.
“These results suggest that large language models may have the potential to aid medical education and, potentially, clinical decision-making.”
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