AI-Assisted Medical Diagnostics

AI-Assisted Medical Diagnostics. Built for Clinical Trust.

ImagingIQ is redefining healthcare through intelligent, user-centric solutions that are reliable, explainable, scalable, and precise. We combine advanced AI with clinical insight to deliver ethical, holistic, and patient-centric care.

Explainable Outputs Clinician-in-the-loop Patient-Centric Scalable Workflows
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Years in medical AI
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Solution areas
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Explainable outputs
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Enterprise support

Mission & Approach

Ethical, holistic, patient-centric

Our approach emphasizes transparency and explainability in AI, ensuring diagnostic insights are not only accurate but also trustworthy and clinically meaningful. By leveraging deep learning and advanced analytics, ImagingIQ transforms complex medical imaging data into actionable intelligence that supports better clinical decision-making. At the core of ImagingIQ is a commitment to innovation, responsibility, and impact—improving diagnostic accuracy, efficiency, and outcomes while keeping the patient at the center of care.

Solutions

Built for clinical trust

Professional imaging intelligence and decision support designed for reliability, explainability, and scale.

Imaging Intelligence Suite

AI-powered analysis and structured insights from medical imaging, with explainable outputs for clinical validation.

Clinical Decision Support

Actionable intelligence at the point of care, supporting faster, more consistent interpretation and follow-up.

Workflow Triage & Prioritization

Explainable triage support for worklists, helping teams prioritize without sacrificing transparency.

Quantitative Imaging Analytics

Structured metrics and longitudinal tracking with clear attribution to imaging evidence.

Reporting Assistance & Summaries

Clinically reviewed workflows for structured reporting and summarization with human oversight.

Enterprise Integration & Interoperability

Designed to integrate with PACS, RIS, and EHR in line with interoperability best practices.

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Explainability & Trust

How the model explains

We prioritize interpretable signals and clinically meaningful explanations—so clinicians can validate, correct, and stand behind every insight.

Our systems are designed for auditability and transparency: from saliency and attention visualizations to natural-language summaries, we tie model outputs to the underlying imaging evidence. Human oversight and clinician-in-the-loop review are central to how we deploy AI—never as a black box.

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Clinical Impact

Supports better outcomes

ImagingIQ is designed to support faster, more consistent interpretation and to improve operational efficiency—without replacing clinical judgment. Our goal is to augment the clinician with trustworthy, explainable tools that keep the patient at the center of care.

Supports faster interpretation Improves operational efficiency Clinician-in-the-loop

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Led by Sandeep Gosain

Serial entrepreneur and technology leader with 20+ years in AI and software. Director at Imaging iQ; co-founder of Call AI (Google for Startups Accelerator India).

Meet the team

Ready to explore AI-assisted diagnostics?

Talk to our team about reliable, explainable, patient-centric imaging intelligence.

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