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AI Predicts Visceral Fat Levels from Bone Scans

by Dr. Michael Lee – Health Editor

New ⁢AI Method Offers Faster, Safer Visceral Fat Assessment ​- A Key to ​Preventing Serious Disease

PERTH, AUSTRALIA – ‍ A ⁢groundbreaking new method for assessing dangerous visceral fat – the fat that accumulates deep ‌within the abdomen ⁣and surrounds vital organs -⁣ is being developed by researchers at Edith Cowan ⁤University (ECU) in Australia.‌ This innovative approach promises a⁣ faster,more accessible,and safer way to identify ​individuals at risk of heart disease,type 2 diabetes,and even certain cancers.

Visceral fat is increasingly recognized as a important health risk,⁢ far beyond simply being a cosmetic concern. ​Unlike subcutaneous fat, ‌which lies just under the skin, visceral fat ⁣actively contributes to inflammation⁣ and metabolic dysfunction.

Currently,estimating visceral ‍fat levels relies on methods like Body Mass Index⁤ (BMI),waist circumference,and waist-to-hip ratio. However, these measurements have⁤ limitations, ​failing to accurately differentiate between various types ‌of⁣ body fat and often ⁢leading to inconsistent obesity​ assessments. More precise imaging techniques, such as MRI and CT scans,⁢ are available, ⁤but are costly and, in⁤ the case of CT​ scans, involve exposure to radiation.

The ECU⁢ team is tackling these challenges with​ a refined machine‍ learning algorithm.​ This algorithm analyzes existing spinal scans ‍taken using Dual-Energy X-ray Absorptiometry (DXA) – a common and readily available technique used to assess bone‌ density. By “reading”​ these scans, the AI can‍ accurately predict visceral fat levels without requiring ‍any additional testing.

“Our⁢ automatic learning model has been ⁢trained on thousands of images,” explains Syed Zulqarnain Gilani,​ Senior Lecturer and Principal Researcher at ECU. “The next step​ is to incorporate datasets ⁤from⁣ around the globe, allowing the algorithm to learn from a larger and more diverse population and‌ maximize its efficiency.”

This advancement represents a significant ‍step‍ forward in⁢ preventative ⁢healthcare. By ⁤providing a fast, affordable, and ⁤non-invasive method⁤ for assessing visceral fat, doctors ‌will be better equipped to identify at-risk individuals and implement timely interventions to mitigate the dangers associated with this “hidden” ⁣fat.


Source: AGERPRES (via Jurnalul.ro)

SEO Keywords: ​ visceral fat, abdominal fat, heart disease, diabetes, cancer, DXA⁢ scan,⁣ bone density, machine learning, artificial intelligence, obesity, health risk, preventative healthcare, Edith Cowan University, ECU, health technology.

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