1b:I[76749,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 1c:I[3486,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 1d:I[41892,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 1e:I[17707,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 1f:I[66528,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 20:I[63176,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 21:I[87099,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 22:I[26200,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"Group"] 23:I[23365,["/_next/static/chunks/0383663887945ae7.js","/_next/static/chunks/df7e62179e4ae938.js","/_next/static/chunks/acf71181277ecf85.js","/_next/static/chunks/63561dcd578bd4db.js","/_next/static/chunks/5bf36002c846d2d8.js","/_next/static/chunks/b24fef6e58c9b2f5.js","/_next/static/chunks/ea1fda2cc52e974e.js"],"default"] 24:T52c,Bone mineral density (BMD) is a key feature in diagnosing bone diseases. Although computational tomography (CT) is a common imaging modality, it seldom provides bone mineral density information in a clinic owing to technical difficulties. Thus, a dual-energy X-ray absorptiometry (DXA) is required to measure bone mineral density at the expense of additional radiation exposure. In this study, a deep learning framework was developed to estimate the bone mineral density from an axial cut of the L1 bone on computational tomography. As a result, the correlation coefficient between bone mineral density estimates and dual-energy X-ray absorptiometry bone mineral density was .90. When the samples were categorized into abnormal and normal groups using a standard (T-score = - 1.0 ), the maximum F1 score in the diagnostic test was .875. In addition, it was identified using explainable artificial intelligence techniques that the network intensively sees a local area spanning tissues around the vertebral foramen. This metho

Jeong-Woon Kang

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