Amerigo Allegretto is a journalist at AuntMinnie.com, based in Pittsburgh, PA. He covers women's imaging, ultrasound, and imaging leaders, focusing on themes in medicine and healthcare, including healthcare technology and diagnostics. Amerigo's work has been featured in DrBicuspid, Cook Medical Australia, and Derrick Publishing Co.
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Not enough data
Amerigo Allegretto's coverage predominantly focuses on scientific and healthcare topics, specifically diagnostic errors, medical imaging, breast cancer screening, AI in healthcare, and radiology. His articles heavily rely on cited data.
Given his focus on scientific and healthcare themes related to diagnostic errors and medical imaging techniques such as breast cancer detection methods and carotid plaque visualization, Amerigo is likely seeking pitches from experts in the field who can provide insights or commentary backed by robust data. Professionals with a deep understanding of AI applications in healthcare and advancements in radiology may also find success when reaching out to him.
As there is no specific geographic focus mentioned for Amerigo's coverage area, experts from any location who have valuable contributions within these fields could potentially engage effectively with him.
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By: Amerigo Allegretto
More plans require cost-sharing for advanced imaging, with a growing share of plans requiring both coinsurance and a copayment.
By: Amerigo Allegretto
Despite emerging evidence and insights, ductal carcinoma in situ (DCIS) continues to perplex even the most experienced of breast radiologists.
By: Amerigo Allegretto
Much ground has been made in educating the general public, as well as clinicians on how breast density is tied to higher breast cancer risk, and one group has been beating the drum for over a dozen years now.
A new study published in Cancer found that gay, bisexual, and transgender women are significantly less likely to receive recommended breast and
By: Amerigo Allegretto
A standardized MRI classification system developed by researchers significantly improves the accuracy and consistency of lumbar spinal stenosis
By: Amerigo Allegretto
Augmented reality-guided localization successfully replaces CT-guided localization for early-stage lung cancer sublobar resection, achieving
The model achieved noninferiority compared to standard clinical assessments in healthcare settings based in the U.S. and Africa.
Researchers from Google Research share results of a study on an AI ultrasound model estimating gestational age in pregnant women.
By: Amerigo Allegretto
CEM alone in a prospective study achieved perfect sensitivity and negative predictive value in diagnosing breast cancer.
By: Amerigo Allegretto
A new study published in the International Journal of Radiation Oncology shows that 68.5% of U.S. counties, representing 51 million people, lack
