| dc.contributor.advisor | Pribylskaya, G. V. | |
| dc.contributor.author | Yurevich, V. A. | |
| dc.coverage.spatial | Гомель | ru_RU |
| dc.date.accessioned | 2025-06-10T06:38:37Z | |
| dc.date.available | 2025-06-10T06:38:37Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Yurevich, V. A. Advancements in artificial intelligence for medical imaging: enhancing diagnostics and clinical outcomes / V. A. Yurevich ; scientific supervisor G. V. Pribylskaya // II Международный молодёжный научно-культурный форум студентов, магистрантов, аспирантов и молодых ученых : сборник материалов, Гомель, 22-24 января 2025 г. / Гомел. гос. техн. ун-т имени П. О. Сухого [Республика Беларусь], Таизский университет [Республика Йемен], Научная организация исследований и инноваций [Республика Йемен] ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2025. – C. 136. | ru_RU |
| dc.identifier.uri | https://elib.gstu.by/handle/220612/41779 | |
| dc.description.abstract | Artificial intelligence (AI) significantly improves disease diagnosis by providing accurate data and
reducing errors, especially in early diagnosis. It is widely used in analyzing medical images, predicting
cardiovascular events, and making treatment decisions. Overall, AI enables faster and more accurate healthcare
decisions, which is crucial when the number of patients is increasing. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
| dc.subject | Artificial Intelligence | ru_RU |
| dc.subject | Disease diagnosis | ru_RU |
| dc.subject | Medical imaging | ru_RU |
| dc.subject | Early detection | ru_RU |
| dc.subject | Tumor identification | ru_RU |
| dc.subject | Cardiovascular prediction | ru_RU |
| dc.subject | Data processing | ru_RU |
| dc.subject | Objective decision-making | ru_RU |
| dc.subject | Patient privacy | ru_RU |
| dc.title | Advancements in artificial intelligence for medical imaging: enhancing diagnostics and clinical outcomes | ru_RU |
| dc.type | Article | ru_RU |
