Dr. Alexander Sardiña

Breast
Bringing humans and AI together to improve mammography outcomes
Could artificial intelligence (AI) yield more accurate breast cancer screening while also decreasing the workload of radiologists? Dr. Alexander Sardiña of AI software developer Whiterabbit makes the case that combining artificial and human intelligence will deliver the best results.
August 18, 2022
2021 03 25 00 42 3403 Mammography Breast Ipad Patient 400
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Molecular Imaging
Dosimetry key in Lu-177 cancer therapy
Personalized medicine is rapidly evolving in cancer theranostics, with technology now available that allows clinicians to optimize doses of radiopharmaceuticals on an individual patient level, according to experts.
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Artificial Intelligence
Can LLMs help improve oncologic imaging interpretation?
Plaque Artery
CT
COVID-19 boosts cardiovascular event risk
Images depict a 55-year-old woman with a family history of breast cancer who underwent combined mammography and MRI screening. (A) Right and (B) left mediolateral oblique and (C) right and (D) left craniocaudal mammograms show a large known cyst in the left breast (arrow in B and D), but were otherwise assessed as being unremarkable. Breast tissue was judged to be extremely dense. (E) Concurrent axial subtraction MRI scan shows a large, diffuse, invasive lobular cancer (circle) in the right breast. The AI system provided a case-based cancer suspicion score of 8 on a scale of 0-10, which would have led to selection for MRI screening using both the score 5 and score 8 thresholds, but not the score 9 threshold.
Womens Imaging
Using AI with mammography can help select women for breast MRI
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Using AI with mammography can help select women at high risk of breast cancer for supplemental MRI.
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Images depict a 55-year-old woman with a family history of breast cancer who underwent combined mammography and MRI screening. (A) Right and (B) left mediolateral oblique and (C) right and (D) left craniocaudal mammograms show a large known cyst in the left breast (arrow in B and D), but were otherwise assessed as being unremarkable. Breast tissue was judged to be extremely dense. (E) Concurrent axial subtraction MRI scan shows a large, diffuse, invasive lobular cancer (circle) in the right breast. The AI system provided a case-based cancer suspicion score of 8 on a scale of 0-10, which would have led to selection for MRI screening using both the score 5 and score 8 thresholds, but not the score 9 threshold.
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LLM performance varies based on language input
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