Med42 provides high-quality answers to short and long-form medical questions . The model has been developed to exponentially enhance clinical decision-making and increase access to synthesized medical knowledge for healthcare professionals , patients and medical researchers through to regulators .

Med42 was trained using M42 ’ s industry-leading curated dataset of medical knowledge . When tested on multiple healthcare-relevant datasets , the model outperforms larger closed models , like ChatGPT 3.5 , and achieves a 72 % score , in a zero-shot evaluation , on the United States Medical Licensing Examination ( USMLE ) Sample Exam questions .

Developed by M42 ’ s Abu Dhabi-based team , Med42 was trained and finetuned with Cerebras in collaboration with Core42 , a G42 company focused on enabling the delivery of nationalscale AI and Enterprise AI programmes . A team from Mohamed bin Sayed University of Artificial Intelligence ( MBSUAI ) further evaluated the accuracy of the model .

Hasan Jasem Al Nowais , Managing Director and Group Chief Executive Officer of M42 , said : “ Med42 will accelerate global access to healthcare knowledge and embodies our commitment to making a transformative impact across the healthcare sector . M42 is pushing the boundaries of healthcare innovation and charting a path towards more personalised , patient-centric care . The unique combination of M42 ’ s world-class healthcare expertise and cutting-edge medical technologies allows us to impactfully contribute to the future of AI in healthcare – a future where AI is accessible to all while being rooted in ethics and prioritising the safety of users .”

Al Nowais added : “ The launch of Med42 firmly establishes and demonstrates the United Arab Emirates ’ prominent standing in the global generative AI space . We are grateful for the support from the Abu Dhabi Department of Health and Abu Dhabi ’ s wider technology ecosystem .

" Med42 has the potential to revolutionise the pace of clinical decision-making , acting as an AI assistant for healthcare professionals .

" The capability of the model extends to developing personalised treatment plans by analysing a patient ' s medical history to identify the best course of treatment . Other use cases include helping doctors access insights faster , pharmacists decide on correct dosages , and supporting scientists studying treatment options to review literature efficiently .” �

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