Launching the latest clinical LLM from M42

M42, a renowned global health technology company, has launched the latest version of its open-access AI Clinical Large Language Model (LLM) called Med42 during Abu Dhabi Global Healthcare Week. This innovative model aims to revolutionize healthcare AI, improve patient care, and simplify administrative tasks for healthcare professionals.

Introduced in October 2023, Med42 has set a new benchmark for accuracy, efficiency, and accessibility in healthcare AI. With an impressive 72 percent score on the United States Medical Licensing Examination (USMLE) Sample Exam questions, Med42 outperformed models like OpenAI’s GPT3.5 and Google’s MedPaLM. Independent developers have downloaded the model over 8,200 times and validated its performance, garnering global attention and praise.

Med42 is a fully optimized 70-billion parameter finetuned model based on Llama-3, Meta’s latest version of open-access LLMs. Its performance matches that of closed models like OpenAI’s GPT-4 and Google’s Med-Gemini, boasting a zero-shot accuracy score of 85.1 percent and a maximum accuracy score of 87.3 percent with specialized prompting on the USMLE. This positions Med42 as a leading contender in open-access clinical LLM technology.

Ashish Koshy, Group Chief Operating Officer of M42, expressed excitement over the release of Med42’s second version, emphasizing the platform’s advancement in harnessing AI power responsibly for the benefit of patients and healthcare professionals. He highlighted the vision of a composable multimodal AI platform that integrates expert models across various health data modalities to address complex healthcare challenges effectively.

Koshy stressed the importance of evaluating Med42’s performance based on both leading indicators like the USMLE and real-world applications. Interdisciplinary teams of AI experts and physician-scientists are actively conducting research studies to assess and enhance Med42’s performance in clinical settings.

In conclusion, M42’s Med42 model marks a significant step forward in leveraging AI for healthcare advancements, setting new standards in accuracy, efficiency, and accessibility within the industry.