Turkish scientists developed an AI-driven app that detects lung cancer early by analyzing voice patterns. The application has shown over 90?curacy in diagnosing early-stage lung cancer, emphasizing the importance of early detection for effective treatment.

Turkish scientists have developed an artificial intelligence-supported application that can detect lung cancer at an early stage by analyzing a person's voice. The project, led by Dr. Haydar Ankishan from the Stem Cell Institute at Ankara University, involved contributions from scientists from various disciplines and focuses on the early diagnosis of lung cancer, a disease often detected only in its advanced stages.

Dr. Ankishan explained, "In our study, we considered the structure of the voice, the anatomical structure of the lungs, and the circulatory system and proposed that the voice can provide information about lung cancer. We pursued this idea." He further emphasized that after nearly one-and-a-half years of work, the team achieved promising results.

The researchers found that lung cancer, especially in its early stages, can be diagnosed with an accuracy rate of over 90%. Dr. Bulent Mustafa Yenigun, a professor at Ankara University's School of Medicine and a member of the research team, pointed out that the key to effective treatment of lung cancer lies in early detection.

The study involved a group of 50 patients and 50 healthy individuals. For the voice analysis, a two-minute speaking script was prepared for each participant, and their voices were recorded. Dr. Yenigun noted that all recordings were made and analyzed under identical conditions. He explained, "Our application detects changes in the voice and issues a warning that there may be pathological lung cancer."