Generative AI model to transform Abu Dhabi’s healthcare sector – News
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Med42 will help develop personalized treatment plans based on the patient’s medical history
M42, a global technology-enabled healthcare network, launched Med42, a new open-access clinical large language model (LLM) that aims to take the concept of ethical AI in healthcare to a new level.
Unveiled in Abu Dhabi on Thursday, the 70 billion-parameter generative AI model is set to revolutionize the healthcare sector and directly influence patient care outcomes.
MED42 acts as an AI assistant for healthcare professionals, simplifying complex medical consultations and helping to develop personalized treatment plans based on the patient’s medical history. It speeds up doctors’ decision-making process, supports pharmacists in dosing decisions, and helps scientists review medical literature efficiently. It has achieved an impressive score of 72 percent on sample exam questions for the United States Medical Licensing Examination, outperforming larger closed models.
Developed by a dedicated team in Abu Dhabi, MED42 underwent training and tuning with experts from Cerebras and Core42. The Mohamed Bin Zayed University of Artificial Intelligence guaranteed the accuracy of the model.
“It is one of the only open source AI language models to pass the USMLE, putting us ahead of much larger closed models,” said Dr. Shaddab Khan, director of AI and Applied Sciences at G42, the parent company of M42.
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Hasan Jasem Al Nowais, M42 Group CEO and CEO, said: “Med42 will accelerate global access to health knowledge and embodies our commitment to delivering transformative impact across the healthcare sector. M42 is pushing the boundaries of healthcare innovation and charting a path toward more personalized, patient-centered 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 everyone and at the same time. time is rooted in ethics and prioritizes user safety.
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