Empowering Healthcare: AI Tongue Color Algorithm for 98% Accurate Disease Identification

Published On Tue Aug 13 2024
Empowering Healthcare: AI Tongue Color Algorithm for 98% Accurate Disease Identification

AI model 98% accurate in detecting diseases — just by looking at...

This technology could be groundbreaking! Researchers in Iraq and Australia have revealed the development of a computer algorithm that utilizes the color of a person’s tongue to identify their medical condition in real-time, boasting an impressive accuracy rate of 98%.

According to senior study author Ali Al-Naji, who is associated with Middle Technical University in Baghdad and the University of South Australia, specific tongue color indications include a yellow hue for individuals with diabetes, a purple tongue with a thick greasy coating for cancer patients, and an unusually shaped red tongue for acute stroke patients.

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The innovative algorithm has the potential to revolutionize the field of medical diagnostics, providing quick and non-invasive assessments based solely on visual cues. By leveraging the distinct color changes in the tongue, healthcare professionals can promptly identify and address various health concerns.

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This remarkable advancement underscores the power of artificial intelligence in healthcare, offering a promising solution for early disease detection and personalized treatment approaches.

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