医療・健康診断の改善におけるビッグデータ医用画像システムの活用について

The Application of the Big Data Medical Imaging System in Improving the Medical and Health Examination.

抄録

ビッグデータ医用画像三次診断システムの医療・健康診断改善への応用効果を探るため、町村保健所の症例を医用画像三次診断システムで収集した。ビッグデータ医用画像三次診断システムで診察を行った臨床例を観察群とする。ビッグデータ医用画像診断の3次診断システムに関与していない臨床例を対照群とする。両群間の有資格率、フィルム陽性率、フィルム診断精度を比較し、X線透視検査、X線検査、CT多重医用画像検査は2群に使用する。実験の結果、合格率は86.57％、陽性率は72.32％、診断率は80.17％であった。合格率、陽性率、診断精度は対照群より高かった( < 0.05)。X線フィルムが最も費用対効果が高い。CT検査は診断感度が高く、良性疾患と悪性疾患を明確に診断することができる。医用画像の3段階診断システムは、医療・健康診断の技術レベルを大幅に向上させ、実用的な価値も高い。

To explore the application effect of the big data medical imaging tertiary diagnostic system in improving the medical and health examination, cases in township health centers were collected by the medical imaging tertiary diagnosis system. Clinical cases examined by the tertiary diagnostic system of big data medical imaging will be set as the observation group. Clinical cases not involved in the tertiary diagnostic system of big data medical imaging were set as the control group. The qualified rate, film positive rate, and film diagnosis accuracy between the two groups are compared, and X-ray perspective, X-ray examination, and CT multiple medical imaging examinations are used in two groups. The experimental results showed that the pass rate was 86.57%, positive rate was 72.32%, and diagnosis rate was 80.17%. Pass rate, positive rate, and diagnostic accuracy were higher than the control group ( < 0.05). X-line film is the most cost effective. CT examination has a high diagnostic sensitivity and can achieve a clear diagnosis of the benign and malignant diseases. The three-level diagnosis system of medical imaging has significantly improved and improved the technical level in the medical and health examination, which has good practical value.