Dubai Medical University is developing 3 preliminary research prototypes employing computer vision and local artificial intelligence to reduce patient triage time to 45 seconds and provide first aid guidance via drones in remote areas.
Three research projects to accelerate medical triage and field ambulance response
Vital signs chair and the target to reduce triage to 45 seconds
Offline ambulance drone and thermal screening gateway
Clinical evaluation and regulatory accreditation requirements in the healthcare sector
Engineering and clinical standards for converting university prototypes into medical devices
Integration of local artificial intelligence with emergency response
Frequently asked questions
Three research projects to accelerate medical triage and field ambulance response
On October 28, 2026, Dubai Medical University reviewed details of 3 technologies under research development during an interview conducted by Arab News with Hessa Yahya Lootah, head of the artificial intelligence and innovation department at the university. These innovations include the “diagnostic vital signs chair”, a first aid drone equipped with an offline AI assistant, and the “smart secure gateway” for screening abnormal temperatures in schools and universities.
These three initiatives fall under university research and development projects and therefore should not be portrayed as fully deployed health systems rolled out across hospitals.
Vital signs chair and the target to reduce triage to 45 seconds
The “vital signs chair” is designed to take initial medical measurements of a patient, including height, weight, blood pressure, heart rate, respiratory rate, and skin temperature. The university explains that the research objective is to reduce the initial patient triage time to approximately 45 seconds, compared to standard operating procedures that may take between 5 and 7 minutes, with an observed institutional average of about 4 minutes.
These figures represent development targets and operational context rather than results from a controlled clinical study proving that equal speed and medical accuracy are achieved simultaneously. Hessa Lootah clearly pointed out that light sensitivity, optical glare, skin color variations, and skin conditions remain technical challenges being addressed in the prototype.
Offline ambulance drone and thermal screening gateway
The ambulance drone concept targets reaching casualties in remote areas, carrying a first aid kit divided into 6 compartments with a local artificial intelligence system that guides the paramedic or casualty through immediate steps until medical teams arrive, with the possibility of communication with doctors when network coverage is available. The university has not yet finalized the logistical aspects of field deployment or response time data.
As for the “secure gateway” concept, it relies on thermal imaging to monitor abnormal temperatures for school or health staff to evaluate the condition, with the scientific emphasis that fever is not a diagnosis for a specific infection.
Clinical evaluation and regulatory accreditation requirements in the healthcare sector
These research projects bridge computer vision technologies, hardware devices, and real-world healthcare workflows, where technical questions are not limited to speed alone, but include medical accuracy, safe case escalation, and efficiency across various patient categories.
Independent clinical evaluations, device calibration, ethical approvals, field trials, and regulatory licensing will remain necessary steps before these promising prototypes in Dubai transform into approved medical products.
Engineering and clinical standards for converting university prototypes into medical devices
The three research projects reviewed by Dubai Medical University—namely the diagnostic vital signs chair, the offline ambulance drone, and the thermal screening gateway—demonstrate a practical academic direction toward addressing bottlenecks in medical triage and emergency response in remote areas.
The research team’s disclosure of technical challenges facing the smart chair’s sensors, such as the impact of lighting, glare, and skin color variation, reflects important scientific transparency; reaching a triage time of 45 seconds in hospitals requires passing rigorous clinical trials and obtaining medical regulatory approvals.
Integration of local artificial intelligence with emergency response
The design of the ambulance drone equipped with an offline artificial intelligence system and a 6-compartment first aid kit represents a promising solution for desert or mountainous regions that may lack stable network coverage at the time of incidents.
However, the logistical aspects of operating medical drones, flight permits, and verifying the safety of voice and visual instructions provided to non-specialists in emergencies remain key areas that the research team will work to complete in upcoming phases.
Furthermore, the secure gateway based on thermal imaging in schools and universities serves as an initial triage tool to alert health and nursing staff to abnormal fever cases, with the university’s commitment to medical guidelines that distinguish between early thermal monitoring and the clinical diagnosis of infection.
Frequently asked questions
Question: What are the three innovations Dubai Medical University is developing?
Answer: The university is developing the diagnostic vital signs chair for patient triage, an offline AI-powered ambulance drone, and a smart thermal screening gateway.
Question: What is the target time for patient triage using the new smart chair?
Answer: The university aims to reduce the time for taking vital measurements and patient triage to approximately 45 seconds compared to an average ranging from 4 to 7 minutes in traditional methods.
Question: What are the technical challenges facing the smart triage chair prototype?
Answer: Head of Artificial Intelligence Hessa Yahya Lootah explained that the challenges include sensor sensitivity to lighting, glare, skin color variations, and skin conditions.
Question: How does the ambulance drone operate in areas lacking internet coverage?
Answer: The drone is equipped with a local offline artificial intelligence system to guide the user through a first aid kit consisting of 6 compartments.
