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Louis J Vaickus

from Etna, NH
Age ~42
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Related to:
Jacob J Knabel, 37Richard Y ReillyMatthew M Knabel, 34
Connected to:
Alma Vaickuviene, 65Aarti Vaid, 43Atul Vaid, 35Neeraj Vaid, 49Neha Vaid, 38Nishant Vaid, 42Parul R Vaid, 47Sandeep Vaid, 61Alexandra Vaida, 40Brett W Vaida, 38

Louis Vaickus Phones & Addresses

  • Etna, NH
  • Lebanon, NH
  • 77 Rogers St, Quincy, MA 02169
  • Cambridge, MA
  • Boston, MA

Professional Records

Medicine Doctors

Louis Vaickus Photo 1

Dr. Louis Vaickus, Hingham MA - MD (Doctor of Medicine)

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Specialties:
Hematology
Medical Oncology
Oncology
Address:
22 Franklin Rodgers Rd, Hingham, MA 02043
(781) 740-9028 (Phone)
Certifications:
Hematology, 1984
Internal Medicine, 1982
Medical Oncology, 1993
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
Loyola University of Chicago / Stritch School of Medicine
Graduated: 1977
Medical School
Mayo Clinic-Rochester
Graduated: 1977
Medical School
Stanford University
Graduated: 1977
Louis Vaickus Photo 2

Dr. Louis J Vaickus, Boston MA - MD (Doctor of Medicine)

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Specialties:
Anatomic & Clinical Pathology
Address:
55 Fruit St, Boston, MA 02114
(617) 726-2967 (Phone)

MASSACHUSETTS GENERAL HOSPITAL
55 Fruit St, Boston, MA 02114
(617) 726-2000 (Phone), (617) 726-7474 (Fax)
Languages:
English
Education:
Medical School
Boston Univ Sch Of Med
Graduated: 2009
Louis Vaickus Photo 3

Louis J Vaickus

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Specialties:
Anatomic Pathology & Clinical Pathology
Louis Vaickus Photo 4

Louis Vaickus

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Specialties:
Internal Medicine

Publications

Us Patents

System And Method For Automation Of Surgical Pathology Processes Using Artificial Intelligence

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US Patent:
20220375604, Nov 24, 2022
Filed:
Apr 18, 2022
Appl. No.:
17/722567
Inventors:
- Lebanon NH, US
Joshua J. Levy - Lebanon NH, US
Louis J. Vaickus - Etna NH, US
International Classification:
G16H 50/20
G16H 70/60
G16H 30/40
G16H 15/00
Abstract:
This invention provides a system for automation of a pathology process, which includes a processor having trained artificial intelligence (AI) modules operating in association therewith, adapted to receive image data from camera images of whole tissue acquired by a camera assembly and whole slide images (WSIs) of inked and segmented tissue samples. A mask produces image results for tissue with holes and free of holes, and a filter provides filtered image results to the AI modules, detecting tumors and macroarchitecture features. A quality assessment process produces quality score outputs for tumors and macroarchitecture features. A report generator provides reports with one or more parameters to a user via an interface. More particularly, the report generator automatically creates a pathology report, having a written description and pictorial diagram relative to the gross images of the tissue integrating the outputs of the AI modules used to analyze the whole slide digital images.

System And Method For Rapid And Accurate Histologic Analysis Of Tumor Margins Using Machine Learning

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US Patent:
20210375457, Dec 2, 2021
Filed:
May 29, 2020
Appl. No.:
16/887177
Inventors:
- Lebanon NH, US
Louis J. Vaickus - Etna NH, US
International Classification:
G16H 50/20
A61B 34/10
G16H 50/50
G16H 30/40
G16H 10/40
G16H 15/00
G16H 70/60
G16H 50/70
G06Q 30/00
G06Q 20/10
G06N 3/08
H04L 29/06
G06T 7/00
Abstract:
This invention provides a histologic system and method for rapidly and accurately assessing tumor margins for the presence or absence of tumor using machine learning algorithms. This affords a rapid and accurate histologic tumor readout and increase process efficiency and decreases the chance for human error. Advantageously and uniquely, the system and method allows for analyzing the tissue section as complete or incomplete as the first criteria to determine whether a tissue section is clear of tumor. A machine learning process receives whole slide images (WSI) of tissue and determines (a) if each image of the WSI contains complete/incomplete tissue samples and (b) if each image of the WSI contains tumorous tissue or an absence thereof. A reconstruction process generates a model of the tissue that maps types of tissue therein, and a display process provides results of the model or report for use and manipulation by a user.
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Louis J Vaickus from Etna, NH, age ~42 Get Report