‘Artificial intelligence aids early diagnosis’<\/p>\n
Kara noted that both in T\u00fcrkiye and across Europe, the number of aging individuals with changing body composition is rising. He highlighted advancements in imaging technologies used for screening and monitoring such conditions.<\/p>\n
\u201cThrough pixel analysis in imaging techniques and ultrasound evaluations, we can assess muscle morphology and quality,\u201d Kara said. \u201cBy integrating artificial intelligence<\/a>, we will be able to conduct more detailed analyses and obtain comprehensive data on muscle health.\u201d<\/p>\n He added that AI systems can be trained using large datasets of patient images, enabling more accurate evaluation of new cases. \u201cArtificial intelligence can provide clearer and more precise data,\u201d he stated, stressing that early detection significantly improves treatment outcomes.<\/p>\n Lifestyle factors increase risk<\/p>\n According to Kara, individuals at higher risk of muscle loss include those who are obese, suffer from hypertension<\/a> or diabetes, follow unhealthy diets or lead sedentary lifestyles. Rapid weight loss can also contribute to muscle deterioration.<\/p>\n To detect muscle loss, simple functional tests are often used. \u201cIf a person struggles to sit down and stand up, climb stairs, rise from a squatting position, or experiences reduced walking speed, it may indicate developing muscle loss,\u201d Kara explained. \u201cMuscles are responsible for quick, strength-based movements and when affected, overall mobility slows down.\u201d<\/p>\n Preventive measures for healthy aging<\/p>\n Kara emphasized that adopting a healthy lifestyle is key to preventing or slowing muscle loss. He recommended regular physical activity such as walking, light jogging and strength exercises like squats, along with a protein-rich diet.<\/p>\n
![\"\"\/](\"https:\/\/www.newsbeep.com\/il\/wp-content\/uploads\/2025\/09\/JN9LXf.png\")
<\/p>\n