Home News AI Enhances Early Sepsis Detection in UAE Hospitals

AI Enhances Early Sepsis Detection in UAE Hospitals

Feb 24, 2026
81 min
3
Feb 24, 2026 06:32
Deadlier than a heart attack: UAE expert reveals how AI flags sepsis before doctors can

## AI's Role in Sepsis Detection

Sepsis, a severe response to infection, is a leading cause of death in intensive care units globally. In the UAE, experts are emphasizing the role of artificial intelligence (AI) in improving early detection of this condition. AI systems can identify sepsis risk by analyzing extensive clinical data from electronic health records, especially in ICU settings where continuous monitoring occurs.

## Early Warning and Intervention

According to Dr. Rajashree Ganesh from Medcare Hospital, AI can detect sepsis approximately six hours earlier than traditional methods. This early detection allows for timely intervention, potentially reducing treatment duration and improving survival rates. AI tools are designed to identify early signs of deterioration, even in patients who appear stable.

## Challenges and Accuracy

AI-based sepsis prediction models have an accuracy range of 79 to 90 percent. However, these systems require external validation to ensure consistent performance across different healthcare environments. High false alarm rates remain a challenge, highlighting the need for ongoing refinement of these technologies.

## Global Impact and Awareness

Dr. Javier Perez Fernandez, President of the World Federation of Intensive and Critical Care, notes that sepsis consumes over half of ICU resources worldwide. Despite its prevalence, public awareness is low, making early recognition and intervention crucial. Vulnerable groups include the elderly, those with chronic diseases, post-surgical patients, and individuals with weakened immune systems.

## Recognizing Symptoms

Key symptoms of sepsis include high fever, rapid breathing, confusion, and reduced urine output. If untreated, it can lead to septic shock and organ failure, underscoring the importance of seeking medical care at the first signs of deterioration.

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