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Andjela Azabagic

from Westford, MA
Age ~45
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Also known as:
Andela Azabagic, Andjela A Moaanderson, Angela Azabagic
Related to:
Christopher F Oleksak, 61Bente Andersen, 45Yancey Sanders, 54Jordan Anderson, 31
Connected to:
Nyeri Azablar, 58Abul AzadAkhilesh K Azad, 44Amirreza Azad, 43Azad M Azad, 67Chander L Azad, 70Eeshita Azad, 50Ehtasham Azad, 57Fahim A Azad, 30Hamed Azad, 41

Andjela Azabagic Phones & Addresses

  • Westford, MA
  • Boxborough, MA
  • Northampton, MA
  • Lake Pleasant, MA
  • New York, NY
  • Brooklyn, NY
  • Avon, CT
  • Waltham, MA

Work

Company: Icad Jun 2019 Position: Product director, ai solutions

Education

School / High School: Columbia Business School 2019 Specialities: Education, Entrepreneurship

Skills

Medical Imaging • Business Development • Medical Devices • Radiology • Healthcare Information Technology • Strategic Planning • Healthcare • Capital Equipment • Cardiology • Sales Management • Cross Functional Team Leadership • Biotechnology • Digital Imaging • Strategic Partnerships • Product Management • 3D Visualization • Healthcare Information Technology • Corporate Development • Global Business Development • Channel Sales • Strategy • Management • Product Launch • Picture Archiving and Communication System • C Level Relationships • Healthcare It • Emerging Growth Companies • Business Growth Strategies • Advanced Visualization • Dicom • Vascular • Image Sharing • Program Management • Product Marketing • Product Development • Marketing • Business Strategy • Project Management • Informatics • Consulting • Go To Market Strategy • Clinical Trials • Healthcare Industry • Software As A Service • Leadership • New Business Development • Pacs

Languages

Bosnian • German

Industries

Medical Devices

Resumes

Resumes

Andjela Azabagic Photo 1

Product Director, Ai Solutions

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Location:
1305 Tech Vly Dr, Westford, MA
Industry:
Medical Devices
Work:
Icad
Product Director, Ai Solutions
Mint Medical Jun 2018 - Jan 2019
Vice President Business Development
Ibm Oct 2016 - May 2018
Director, Ai Solutions, Watson Health Imaging
Azabagic Consulting Jul 2015 - Nov 2016
Founder, Chief Consultant
Azabagic Consulting Nov 2015 - Oct 2016
Owner and Founder
Education:
Columbia Business School 2019
Columbia Engineering 2002 - 2005
Master of Science, Masters, Biomedical Engineering Brandeis University 1998 - 2002
Bachelors, Bachelor of Science, Computer Science
Skills:
Medical Imaging
Business Development
Medical Devices
Radiology
Healthcare Information Technology
Strategic Planning
Healthcare
Capital Equipment
Cardiology
Sales Management
Cross Functional Team Leadership
Biotechnology
Digital Imaging
Strategic Partnerships
Product Management
3D Visualization
Healthcare Information Technology
Corporate Development
Global Business Development
Channel Sales
Strategy
Management
Product Launch
Picture Archiving and Communication System
C Level Relationships
Healthcare It
Emerging Growth Companies
Business Growth Strategies
Advanced Visualization
Dicom
Vascular
Image Sharing
Program Management
Product Marketing
Product Development
Marketing
Business Strategy
Project Management
Informatics
Consulting
Go To Market Strategy
Clinical Trials
Healthcare Industry
Software As A Service
Leadership
New Business Development
Pacs
Languages:
Bosnian
German

Publications

Us Patents

Automated Report Generation Based On Cognitive Classification Of Medical Images

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US Patent:
20190189263, Jun 20, 2019
Filed:
Dec 15, 2017
Appl. No.:
15/844249
Inventors:
- Armonk NY, US
Marwan Sati - Mississauga, CA
Andjela Azabagic - Cambridge MA, US
Grant Covell - Belmont MA, US
International Classification:
G16H 30/20
G16H 30/40
G16H 50/70
A61B 5/00
Abstract:
Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, and automatically generate a structured report for the image study based on the classification assigned by the model, the structured report accessible by a radiologist via a structured reporting system.

Triage Of Patient Medical Condition Based On Cognitive Classification Of Medical Images

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US Patent:
20190189264, Jun 20, 2019
Filed:
Dec 15, 2017
Appl. No.:
15/844254
Inventors:
- Armonk NY, US
Marwan M. Sati - Mississauga, CA
Andjela Azabagic - Cambridge MA, US
Grant Covell - Belmont MA, US
International Classification:
G16H 30/20
G16H 30/40
G16H 50/70
A61B 5/00
Abstract:
Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to submit at least a portion of the image study to a cognitive system, the cognitive system configured to analyze the image study using a model developed using machine learning, receive, from the cognitive system, a BI-RADS classification assigned to the image study using the model, and automatically triage the image study based on the classification assigned to the image study by the cognitive system.

Automated Medical Case Routing Based On Discrepancies Between Human And Machine Diagnoses

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US Patent:
20190189265, Jun 20, 2019
Filed:
Dec 15, 2017
Appl. No.:
15/844263
Inventors:
- Armonk NY, US
Marwan Sati - Mississauga, CA
Andjela Azabagic - Cambridge MA, US
International Classification:
G16H 30/20
G16H 30/40
G16H 50/70
A61B 5/00
Abstract:
Methods and systems for verifying a manually-generated report for a medical image. One system comprises an electronic processor configured to receive a first report for the medical image generated by a first radiologist, receive a second report for the medical image generated by a cognitive system, and automatically compare the first report and the second report to detect a discrepancy between the first report and the second report. The electronic processor is also configured to, in response to not detecting a discrepancy between the first report and the second report, submitting the first report for the medical image. The electronic processor is also configured to, in response to detecting a discrepancy between the first report and the second report, assign the medical image to a second radiologist, receive a third report for the medical image generated by the second radiologist, and submit the third report for the medical image.

Automated Worklist Prioritization Of Patient Care Based On Cognitive Classification Of Medical Images

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US Patent:
20190189266, Jun 20, 2019
Filed:
Dec 15, 2017
Appl. No.:
15/844266
Inventors:
- Armonk NY, US
Marwan M. Sati - Mississauga, CA
Andjela Azabagic - Cambridge MA, US
Grant Covell - Belmont MA, US
Ingrid Christine Lange - Cambridge MA, US
International Classification:
G16H 30/20
G16H 40/20
G16H 15/00
G16H 50/20
G06N 99/00
Abstract:
Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, and automatically generating a worklist based on the classification assigned to the image study using the model, the worklist prioritizing a plurality of tasks for treating the patient.

Differential Diagnosis Mechanisms Based On Cognitive Evaluation Of Medical Images And Patient Data

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US Patent:
20190189268, Jun 20, 2019
Filed:
Dec 15, 2017
Appl. No.:
15/844280
Inventors:
- Armonk NY, US
Marwan Sati - Mississauga, CA
Andjela Azabagic - Cambridge MA, US
Grant Covell - Belmont MA, US
International Classification:
G16H 30/20
G16H 30/40
G16H 50/70
A61B 5/00
G16H 50/20
Abstract:
Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system comprises a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, automatically generate a differential diagnosis for the patient based on the classification assigned by the model, and automatically adjust triaging of the image study based on the differential diagnosis.
Control profile
Andjela Azabagic from Westford, MA, age ~45 Get Report