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Labmind

Biomedical Imaging & Diagnostics Intelligence

Labmind is an AI-powered platform built to transform biomedical imaging workflows. Designed for labs, hospitals, and diagnostic centers, it accelerates image-based diagnostics with expert-trained models on blood smears, DICOM, and NIfTI data. It offers anomaly detection, classification, and reporting in real time through a clinician-optimized interface.

Key Features

High-accuracy blood smear image analysis

Analyze blood smear slides using expert-trained models for precise anomaly detection and classification.

Identification of 9+ cell types and anomalies

Detect and differentiate a wide range of cells — including red and white blood cells — along with rare morphological abnormalities.

Assistive UI for annotation, prediction, and workflow review

Provide clinicians and researchers with an intuitive interface to label, validate, and review predictions within their diagnostic workflow.

Support for DICOM, NIfTI, and other medical imaging formats

Seamlessly process and integrate imaging data from standard formats used across hospitals, labs, and research environments.

Custom model training and continuous expert feedback loop

Adapt models to local diagnostic standards using real-world case feedback — enhancing accuracy over time through human-in-the-loop learning.

Benefits

Reduce image analysis time by 70–90%

Monitor and analyze crowding patterns at gates to improve passenger flow and reduce delays.

Decrease diagnostic errors by up to 50%

Identify high-traffic and underused areas to enhance product placement and customer experience.

Save $60M+ in potential operational costs by 2026

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Ensure consistent diagnostic accuracy

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Use Cases

Pathology labs processing high-volume samples

Use Labmind to automate slide analysis and anomaly detection across thousands of samples daily — reducing strain on human pathologists and improving throughput.

Diagnostic hospitals using AI-assisted slide analysis

Accelerate diagnostic workflows with expert-trained models that support radiologists and technicians in reviewing and annotating medical images.

Medical research institutions standardizing annotations

Ensure consistent labeling and interpretation of medical imaging data across teams and studies using AI-guided tools and collaborative annotation features.

Let’s Build What Fits Your Stack

Whether you’re ready for a demo or just exploring, we’ll guide you to the right product fit.