Felix Beacher

AI
Medical AI: What are the attitudes of imaging practitioners?
The potential of medical imaging artificial intelligence (AI) is widely acknowledged to be game-changing. But the roll-out of AI for radiology has been slower than expected. Felix Beacher of market research firm Omdia discusses possible reasons why.
September 4, 2022
2019 10 21 17 41 6509 Artificial Intelligence Ai Suit 400
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Burden of PSMA-expressing prostate cancer before and after treatment with two cycles of Lu-177 PSMA-617. (A and B) Reduction in overall disease burden is evident after treatment. Avidity of patient’s primary prostate tumor and his osseous metastasis shown before (C) and after (D) treatment.
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Images in a 62-year-old woman who presented for screening. (A) Image from DBT screening (the synthesized 2D mediolateral oblique view of the left breast is shown) at year on was interpreted as negative and showing heterogeneously dense breast. (B) Image from molecular breast imaging screening (mediolateral oblique view) at year one reveals a 0.9-cm non-mass focal area of uptake in the left breast (arrow). (C) Targeted ultrasound scan (transverse image) shows a suspicious mass in the 3-o’clock position of the left breast, 4 cm from the nipple. Ultrasound-guided core biopsy and lumpectomy revealed a 0.9-cm grade 2 invasive ductal carcinoma, an estrogen receptor–negative, progesterone receptor–negative, human epidermal growth factor receptor 2–negative lesion, with two sentinel nodes negative (N0).
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