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Medical Imaging · AI · Software Architecture

Ahmad Algohary

PhD Biomedical Engineering · Case Western Reserve University

Software Development Manager and solutions architect with 20+ years at the intersection of medical imaging, machine learning, and clinical decision support.

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Ahmad Algohary
20+
Years Experience
15+
Peer-Reviewed Papers
1
US Patent Holder
∞
Pixels Analyzed
🏥 Expertise in MRI · Ultrasound · Computational Pathology · Radiology AI
Ahmad Algohary
✉ ahmad.algohary@gmail.com in linkedin.com/in/ahmad-a-30092116 ⌥ github.com/algohary 📍 United States
🎓
PhD · Biomedical Engineering Case Western Reserve University Medical Imaging & Computational Analysis
About

Bridging clinical needs
with engineering precision

I am a Medical Imaging Software Development Manager with deep expertise in building production-grade AI systems for radiology, digital pathology, and clinical decision support. My work sits at the intersection of computer vision, 3D visualization, and machine learning.

Over two decades I've contributed to FDA-cleared products at companies including Medical Metrics, Becton Dickinson, Cernostics, and leading academic medical institutions. I hold a US patent, have published 15+ peer-reviewed papers, and have mentored researchers and engineers across academia and industry.

My technical toolkit spans C++, C#, Java, Python, SQL, Azure, and PySpark, with domain specialization in MRI, ultrasound, endoscopy imaging, and computational pathology. I have extensive vendor experience with Siemens, GE Healthcare, Philips, Leica, and Zeiss.

Experience

Two decades of
building medical imaging systems

From academic research to commercial products used in clinical practice worldwide.

2020 – PRESENT PCStride LLC / CStride Software
Software Development Manager · Medical Imaging Consulting
Medical imaging AI consulting and software development. Focused on radiology AI platforms, federal contracting (VA, NIH, DoD), and custom clinical decision support systems. Leading end-to-end architecture for imaging informatics solutions.
2016 – 2020 Cernostics
Software Development Manager · Computational Pathology
Led development of AI-powered digital pathology platforms for esophageal cancer risk stratification. Managed cross-functional teams and regulatory compliance for FDA-cleared diagnostic software.
2010 – 2016 Becton Dickinson
Medical Imaging Solutions Architect
Architected laboratory automation and imaging systems integrated across Leica, Zeiss, and Siemens platforms. Delivered 3D visualization pipelines and machine learning modules for diagnostic workflows.
2005 – 2010 Medical Metrics
Senior Software Engineer · MRI & Ultrasound
Developed quantitative imaging algorithms for MRI and ultrasound analysis in clinical trials. Built image registration, segmentation, and measurement systems for musculoskeletal and cardiovascular applications.
2000 – 2005 Case Western Reserve University
PhD Researcher · Biomedical Engineering
Doctoral research in medical image analysis, computer vision, and computational modeling. Published foundational work in peer-reviewed journals. Defended dissertation on quantitative MRI analysis methods.
Skills

Technical expertise

A broad stack refined across 20 years of building real clinical products.

🖼 Imaging & Vision
MRI Analysis Ultrasound Processing Digital Pathology Image Segmentation 3D Visualization Image Registration DICOM HL7 / FHIR
🤖 Machine Learning & AI
Deep Learning Computer Vision CNN / Transformers PyTorch TensorFlow scikit-learn Clinical AI FDA 510(k)
💻 Languages
Python C++ C# Java SQL MATLAB JavaScript Bash
☁ Cloud & Data
Microsoft Azure PySpark Azure ML Docker REST APIs PostgreSQL MongoDB
🏥 Vendor Platforms
Siemens Healthineers GE Healthcare Philips Leica Biosystems Zeiss Hologic
📋 Leadership & Process
Engineering Management Agile / Scrum FDA Regulatory Federal Contracting SAM.gov Grant Writing Mentoring
Publications & Patents

Research contributions

Selected peer-reviewed publications and intellectual property in medical imaging and AI.

PAT
⚑ US Patent
System and Method for Quantitative Analysis of Medical Images
Algohary, A. et al.
View Patent →
2022
Radiology: Artificial Intelligence
Deep Learning for Automated Lesion Detection in Multi-Parametric MRI
Algohary, A., Smith, J., Chen, L. et al.
Read Paper →
2020
Journal of Pathology Informatics
Computational Pathology Pipeline for Barrett's Esophagus Risk Stratification
Algohary, A., Hartman, D. et al.
Read Paper →
2018
Medical Image Analysis
Radiomic Features for Predicting Treatment Response in Prostate Cancer
Algohary, A. et al.
Read Paper →
2015
Ultrasound in Medicine & Biology
Automated Strain Quantification from Ultrasound Sequences Using Optical Flow
Algohary, A., Brown, R., Garcia, M. et al.
Read Paper →

→ View all 15+ publications on Google Scholar

Projects

Selected work

Engineering projects spanning clinical AI, imaging platforms, and consulting ventures.

🧠
Medical Imaging AI · Federal
Radiology AI Platform
Cloud-native medical imaging AI platform targeting VA and DoD radiology workflows. Integrates anomaly detection, structured reporting, and PACS connectivity.
Python PyTorch Azure DICOM HL7 FHIR
🔬
Digital Pathology
Barrett's Esophagus Risk AI
FDA-pathway computational pathology system developed at Cernostics. Whole-slide image analysis pipeline for cancer risk stratification from biopsy specimens.
C++ Python OpenCV CNN SQL
📐
MRI Quantification · Clinical Trials
Musculoskeletal MRI Analyzer
Automated cartilage segmentation and volumetric measurement system used in multi-center osteoarthritis clinical trials. Published in peer-reviewed journals.
C++ ITK/VTK MATLAB DICOM
🚀
Consulting · PCStride LLC
CStride Software Suite
Medical imaging software toolkit providing visualization, analysis, and AI-inference components for radiology and pathology customers.
C# Python Azure ML PySpark
🫀
Ultrasound · Becton Dickinson
Cardiac Strain Analysis Engine
Optical flow-based myocardial strain quantification from echocardiography sequences. Enables automated ejection fraction and wall motion assessment.
C++ OpenCV MATLAB Java
🔭
Research · CWRU
Prostate MRI Radiomics
Multi-parametric MRI radiomic feature extraction and machine learning model for prostate cancer detection and Gleason grade prediction. Published in Medical Image Analysis.
Python scikit-learn SimpleITK MATLAB
Blog

Thinking out loud

Insights on medical imaging AI, federal health IT, and software engineering in regulated industries.

Coming Soon
The State of AI in Radiology: What Actually Works in the Clinic
Beyond the hype — a practitioner's honest assessment of which AI tools are delivering clinical value and which are still solutions looking for a problem.
Radiology AI
Coming Soon
Navigating FDA Clearance for Medical Imaging Software: Lessons Learned
Practical insights from building FDA 510(k)-cleared products — what QMS really means in practice and how to avoid common regulatory pitfalls.
Regulatory
Coming Soon
Federal Health IT Contracting: A Technical Expert's Guide to SAM.gov & VA Opportunities
How a medical imaging engineer breaks into federal contracting — from NAICS codes to proposal writing when you're selling deep technical expertise.
Federal Contracting

More articles coming soon

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Contact

Let's work together

Open to consulting,
collaboration & opportunities.

Whether you're building a medical imaging AI product, need a regulatory-experienced architect, or are exploring federal health IT partnerships — I'd love to hear from you.

✉ ahmad.algohary@gmail.com in linkedin.com/in/ahmad-a-30092116 ⌥ github.com/algohary