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AI-boosted opportunistic LDCT helps evaluate bone mineral density
Chest low-dose CT (LDCT) combined with an automated AI protocol shows promise for opportunistic bone mineral density assessment.
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AI for diagnosing osteoporosis may be 'a brilliant idea'
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Artificial Intelligence
Diffusion-based deep learning recovers bone structure data on CT
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Cases of the Week
Check out our Cases of the Week!
61-year-old woman with right lower quadrant pain for one week
A 61-year-old woman with a past surgical history of cholecystectomy and hernia repair with mesh presented to the ED with a complaint of right lower quadrant pain for one week. The patient reported feeling nauseous; she denied emesis, fever, chills, or changes in bowel movements.
19-year-old man with difficulty writing
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Ct Scan Patient
CT
AI-boosted opportunistic LDCT helps evaluate bone mineral density
Artificial Intelligence
AI for diagnosing osteoporosis may be 'a brilliant idea'
Artificial Intelligence
Diffusion-based deep learning recovers bone structure data on CT
Neuroradiology
Do hospital brain MRI online prices correlate with telephone quotes?
Ct Scan Patient
CT
AI-boosted opportunistic LDCT helps evaluate bone mineral density
Artificial Intelligence
AI for diagnosing osteoporosis may be 'a brilliant idea'
Artificial Intelligence
Diffusion-based deep learning recovers bone structure data on CT
Augmented/Virtual Reality
Augmented reality is gaining ground in spinal surgery
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Industry News
Clearpath launches image-sharing platform for patients
Nuclear Medicine
SNMMI updates recommendations on COVID-19 V/Q scan protocols
Industry News
GE HealthCare releases first sustainability report
MRI
AIRAmed gets FDA nod for MRI software
Artificial Intelligence
Ct Scan Patient
AI-boosted opportunistic LDCT helps evaluate bone mineral density
Chest low-dose CT (LDCT) combined with an automated AI protocol shows promise for opportunistic bone mineral density assessment.
AI for diagnosing osteoporosis may be 'a brilliant idea'
AI reduces treatment times in stroke patients
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Images of a 69-year-old woman with endometrial cancer, grade 1 endometrioid adenocarcinoma, T1aN0M0, stage IA. Sagittal (a) and axial (b) T2-weighted MRI show an endometrial tumor (arrow), without deep myometrial invasion. The tumor (arrow) is hyperintense on diffusion-weighted imaging (c) and hypointense on the ADC map (d). The ADCmin of the tumor was 0.45 × 10−3 mm2/s, and the ADCmean was 0.58 × 10−3 mm2/s. PET (e) and PET/MRI fusion images (f) show intense FDG uptake of the tumor (arrow). The SUVmax of the tumor was 12.5, MTV was 3.9 mL, and TLG was 29 g.
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