Underserved patients couldn't see specialists. A Telegram bot now reads X-rays and consults in Arabic.
A graduate-level research university in Abu Dhabi develops AI solutions to improve healthcare access for over 400 million Arabic speakers across the Middle East and Africa.
Underserved communities in the region lack consistent access to medical specialists, and existing AI models fail to support the necessary...
“With its Arabic-English bilingual interactions, our model extends healthcare access to over 400 million Arabic-speaking individuals as an inclusive and comprehensive healthcare solution. We believe it is the first medical large multimodal model built on Llama 3.1.”
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)'s Telemedicine chatbot is part of this use case:
Graduate research university for artificial intelligence and machine learning.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Physician shortages delayed patient care. Now, a fine-tuned AI securely analyzes symptoms and lab reports to instantly guide 3.5M users.
Rising costs and burnout left pets without care. AI now triages symptoms with 81% accuracy, cutting vet consultation times by 8%.
Language barriers and complex menus slowed fintech adoption. Now, an AI voice assistant handles money transfers conversationally.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Underserved patients couldn't see specialists. A Telegram bot now reads X-rays and consults in Arabic.
A graduate-level research university in Abu Dhabi develops AI solutions to improve healthcare access for over 400 million Arabic speakers across the Middle East and Africa.
Underserved communities in the region lack consistent access to medical specialists, and existing AI models fail to support the necessary...
“With its Arabic-English bilingual interactions, our model extends healthcare access to over 400 million Arabic-speaking individuals as an inclusive and comprehensive healthcare solution. We believe it is the first medical large multimodal model built on Llama 3.1.”
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)'s Telemedicine chatbot is part of this use case:
Graduate research university for artificial intelligence and machine learning.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Physician shortages delayed patient care. Now, a fine-tuned AI securely analyzes symptoms and lab reports to instantly guide 3.5M users.
Rising costs and burnout left pets without care. AI now triages symptoms with 81% accuracy, cutting vet consultation times by 8%.
Language barriers and complex menus slowed fintech adoption. Now, an AI voice assistant handles money transfers conversationally.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.