Healthcare

Medical Imaging Services

Medical imaging produces some of the richest and most complex data in healthcare—and some of the hardest to interpret at scale. Theta Tech transforms this complexity into clarity. Using advanced AI, deep learning, and modern imaging frameworks, we build end-to-end systems for segmentation, classification, co-registration, volumetric rendering, and automated analysis.

Our solutions integrate seamlessly into clinical workflows, research environments, and medical device pipelines. From 2D ultrasound to 3D MRI to whole-slide pathology imaging, we engineer AI-driven tooling that enhances accuracy, accelerates insight, and supports real-world clinical impact.

Understanding the Concept

Medical imaging AI requires more than model training—it demands a full-stack approach that spans data ingestion, preprocessing, algorithm design, validation, and visualization. A single imaging study can involve multiple modalities, large file sizes, complex anatomical structures, and clinically consequential decision points.

Theta Tech builds systems capable of handling these demands: AI segmentation models that isolate tumors or organs with high fidelity, registration algorithms that align multimodal scans, object detectors that locate regions of interest, and rendering pipelines that bring 3D data to life. We leverage frameworks like MONAI, OHIF, ITK, VTK, and 3D Slicer and support imaging formats including DICOM, NIFTI, OpenSlide, NRRD, MHA, and more.

The result is an integrated imaging intelligence layer—highly accurate, deeply interpretable, and ready for clinical or research deployment.

Why This Matters

Unlock the power of AI-driven medical imaging with advanced analysis, segmentation, and visualization solutions.

Medical imaging is a bottleneck for clinicians, researchers, and device companies. Manual review is slow. Traditional software tools struggle with scale. And without automation, insights that could transform outcomes remain hidden in terabytes of visual data.

AI-driven imaging systems accelerate discovery and elevate decision-making. They reduce error rates, support earlier detection, streamline clinical study pipelines, and enable device companies to build smarter, more adaptive products. Theta Tech ensures these systems are not only scientifically strong but also operationally reliable—engineered for uptime, security, and compliance in real clinical environments.

AI-driven medical imaging solutions, including segmentation, classification, object detection, and volumetric rendering, designed for accuracy, efficiency, and real-world clinical impact.

Sub-Services
  • Clinical Decision Support – Classification & Regression:
    AI models that assist clinicians with diagnostic predictions and probability scoring.
  • Boosted Decision Trees:
    Optimized classical ML models for structured healthcare datasets and tabular imaging metadata.
  • Feature Engineering:
    Extracting meaningful, clinically relevant features from complex imaging or multimodal data.
  • Data De-Identification & Anonymization:
    Privacy-compliant pipelines to safely handle PHI and prepare imaging datasets for research or AI training.
  • Large Dataset Analysis:
    Infrastructure and tooling for processing high-volume radiology, pathology, or device-generated imaging datasets.
  • Healthcare Data Science:
    End-to-end analytics, modeling, and statistical pipelines tailored to clinical and biomedical data.
  • Data Visualization:
    Interactive dashboards that support real-time analysis, image exploration, and clinical decision workflows.
  • Digital Signal Processing:
    Advanced algorithms for biomedical signals such as ECG, EEG, and device telemetry—complementing imaging with physiological insight.

The Result

AI-driven imaging solutions that deliver clinical precision, operational efficiency, and research-grade reliability.

From segmentation to decision support, Theta Tech builds imaging systems that
elevate diagnostics, accelerate discovery, and integrate seamlessly into your healthcare ecosystem.

All Services
Case Studies

Real-World Impact

Explore our successful AI case studies.
Algorithm for Collaboration & Distribution
Updating disparate and unorganized AI algorithm code into cohesive and easily sharable notebooks.
Read More
Clinical UI Design for Radiology AI
Creating intuitive software interfaces that empower doctors and accelerate AI innovation
Read More
Developing 3D Radiology AI Solutions
Moving University Client to the Cloud with Open Source Medical AI Models
Read More
Publications

Explore Our Work

See our 35+ Peer-Reviewed Publications & Patents.
Improved Active Shape Models for Segmentation of the Prostate on MR Imagery
Toth, R. “Improved Active Shape Models for Segmentation of the Prostate on MR Imagery,” M.S. Thesis, Rutgers University, 2010.
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., Strand, R., Malmberg, F., Ou, Y., Davatzikos, C., Kirschner, M., Jung, F., Yuan, J., Qiu, W., Gao, Q., Edwards, P.E., Maan, B., van der Heijden, F., Ghose, S., Mitra, J., Dowling, J., Barratt, D., Huisman, H., Madabhushi, A. “Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.” Medical Image Analysis 25:18(2), Dec 2013 pp. 359-373. doi: 10.1016/j.media.2013.12.002
HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework
Toth, R.J., Shih, N., Tomaszewski, J.E., Feldman, M.D., Kutter, O., Yu, D.N., Paulus, J.C., Paladini, G., Madabhushi, A., “HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.” Journal of Pathology Informatics 5(8), Mar 2014. doi: 10.4103/2153-3539.129441
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI
Toth, R., Traughber, B., Ellis, R., Kurhanewicz, J., Madabhushi, A., “A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.” Neurocomputing 144(20) Nov 2014. pp. 3-12 doi: 10.1016/j.neucom.2014.01.058
"Theta Tech AI is an exciting medical AI consulting company whom we’ve worked with for over a decade.

Their team of experienced healthcare AI developers and PhD level biomedical engineers have helped us accelerate our clinical AI research implementation efforts.

Their team is hardworking and extremely responsive.
If you’re in the healthcare technology space, you’d be remiss to not work with Theta Tech." 
Professor Anant Madabhushi
Executive Director for the Emory Empathetic AI for Health Institute
"Theta Tech AI brings together biomedical engineers and medical imaging experts who deeply understand both AI and clinical practice.

For anyone working in healthcare AI—especially at a leading university or tech company—they are a fantastic team to collaborate with."
Assistant Professor Andrew Janowczyk
Emory University
"Theta Tech AI is an outstanding team of biomedical engineers and medical imaging software experts, who can provide you with specialized healthcare AI solutions that will ensure successful ventures in this space."
Satish E. Viswanath, PhD
Associate Professor, Department of Biomedical Engineering
"Theta Tech AI is a highly competent healthcare AI consulting company that has deep expertise spanning machine learning, data science, medical data, image analysis, comprising of a great team of biomedical engineers."
Mike Galvin
Co-Founder & Chairman of LivAI

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