USMLE
The United States Medical Licensing Examination, administered in three steps covering basic medical sciences, clinical knowledge, and clinical skills, primarily through multiple-choice questions. It is one of the most frequently cited benchmarks for evaluating medical large language models.
Timeline (last 90 days)
The study used USMLE and PANCE exam questions with empirical difficulty labels to guide LLMs in inducing a set of difficulty scoring rules (rubric).
The USMLE (United States Medical Licensing Examination) consists of three stages, Step 1, Step 2 CK, and Step 3, and is mainly aimed at medical students and residents.
The USMLE difficulty rules placed more emphasis on the ability to integrate multiple clinical clues.
Neurosurgery applicants are initially screened using multidimensional criteria including USMLE Step scores, research publications, and letters of recommendation.
MedQA is a multiple-choice question-answering benchmark constructed from the United States Medical Licensing Examination (USMLE) question bank.
High scores on medical examination benchmarks such as USMLE do not equate to a model's ability to make correct judgments in real clinical cases.
Google's Med-PaLM 2 achieved expert-level performance on the United States Medical Licensing Examination (USMLE)
All Facts (8)
GPT-4在美国执照医师考试USMLE中通过率超过90%
80%UnverifiedThe USMLE (United States Medical Licensing Examination) consists of three stages, Step 1, Step 2 CK, and Step 3, and is mainly aimed at medical students and residents.
50%UnverifiedThe study used USMLE and PANCE exam questions with empirical difficulty labels to guide LLMs in inducing a set of difficulty scoring rules (rubric).
50%UnverifiedThe USMLE difficulty rules placed more emphasis on the ability to integrate multiple clinical clues.
50%UnverifiedNeurosurgery applicants are initially screened using multidimensional criteria including USMLE Step scores, research publications, and letters of recommendation.
50%UnverifiedMedQA is a multiple-choice question-answering benchmark constructed from the United States Medical Licensing Examination (USMLE) question bank.
50%UnverifiedHigh scores on medical examination benchmarks such as USMLE do not equate to a model's ability to make correct judgments in real clinical cases.
50%UnverifiedGoogle's Med-PaLM 2 achieved expert-level performance on the United States Medical Licensing Examination (USMLE)
50%