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Dubaï: Hospitals use Artificial Intelligence (AI) to detect future diseases

A scientific conference revealed that Dubai hospitals have begun using artificial intelligence techniques to detect future diseases. The 10th Dubai International Medical Science Conference, organized by the Sheikh Hamdan Bin Rashid Al Maktoum Award for Medical Sciences, concluded two days later.

Doctor Jamal Al Saleh, a rheumatology consultant and medical director of Dubai Hospital, said the facility began using artificial intelligence to detect diseases that could infect a person in the next 10 years.

The spokesman also considered the participants in the intervention of doctors to reduce these complications by changing the treatment plan, or the use of pharmaceutical compounds more capable and effective to reduce those complications.

“The Smart Registry of Arthritis and Rheumatology at Dubai Hospital compiles all data related to outpatients or PHC primary care centers,” Al Saleh said.

“By artificial intelligence we analyze the risk of heart disease or other diseases for the next 10 years, in accordance with the highest international practices, protocols and standards applied in the medical field, the first program of its kind in the Arab world,” he added.

Al-Saleh said that the Smart Registry project for arthritis and rheumatism is a qualitative leap. It is working to standardize the health care system by facilitating diagnosis and early detection of disease, standardizing disease monitoring and monitoring system and providing a documented and informative medical record which can be consulted at any time.

The Hamdan Medical Award, the organizer of the conference, is the largest medical award in North Africa and the Middle East, and has received a high demand from doctors and scientists specializing in disease detection and drug formulation.

The award was launched 20 years ago and is held every two years under the patronage of Sheikh Hamdan bin Rashid, Deputy Ruler of Dubai and Minister of Finance, with a total prize value of about one million dollars per session.

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