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  1. Thomas Postiglione, MD is on Doximity, the leading professional network exclusively for Physicians. View his public professional profile.

    • 51-01 39th Ave, Staten Island, 10314, NY
    • Physician
  2. View Thomas Postigliones profile on LinkedIn, a professional community of 1 billion members.

    • 1
    • Brooklyn, New York, United States
  3. May 6, 2019 · Thomas Postiglione primary care in 1 Brookdale Plz Brooklyn, Ny 11212. Phone: (718) 240-5000 . Taxonomy 390200000X

    • The Emergence of Cloud-Based Software Platforms
    • What We Can Expect in The Future
    • Summary

    The emergence of deep neural networks associated with modern computational power has produced reliable automation of certain tasks in medical imaging, including time-consuming and tedious workflows such as organ segmentation. Segmentation produces measurements and automatic extraction of quantitative features, which cannot be performed in everyday ...

    Volumetric monitoring of the aneurysm supported by accurate automated tools has the potential to improve patient follow-up after implantation of aortic endografts, allowing the potential for improved clinical outcomes. Lindquist Liljeqvist et al reported that longitudinal follow-up of aneurysm volume better predicts the aneurysm growth rate and has...

    Hurdles can be expected on the way to a more accepted use of automation and AI-based solutions in general and particularly for management of aortic patients. Machine learning techniques have greatly improved the performance of software solutions, but the risk of outliers should be balanced by the ability of clinicians to control the result of AI me...

  4. Thomas J Postiglione (NPI# 1720643745) is a health care provider registered with Centers for Medicare & Medicaid Services (CMS), National Plan and Provider Enumeration System (NPPES). The enumeration date is May 6, 2019.

  5. Find Thomas J. Postiglione's articles, email address, contact information, Twitter and more

  6. AI, Automation, and Aortic Aneurysm Care. AI-assisted algorithms with accurate and automated tools for diameter and volumetric monitoring of the aorta have the potential to improve clinical outcomes and patient follow-up after EVAR. By Dominique Fabre, MD, PhD; Thomas J. Postiglione, MD; and Stéphan Haulon, MD, PhD.

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