In collaboration with Mayo Clinic. Conference topics: diabetes mellitus, thyroid diseases, surgery and endocrinology, parathyroid glands and bone metabolism, gonads and polycystic ovary, adrenal glands, endocrinal radiology, and nuclear medicine in the management of endocrinal diseases. Target audience (who should attend): endocrinologists, radiologists, internists, general surgeons, orthopedic surgeons, rheumatologists, pediatricians, pathologists, nuclear medicine specialists, general practitioners, obstetrics and gynecologists, oncologists, and pharmacists.
4th International Conference of Al Noor Hospital (ICAN)
Mar 17th, 2009Mar 19th, 2009
Abu Dhabi, --
AE
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![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
