Diagnostic Intelligence

ESH AI

Multi-modal AI that analyses pathology, radiology, and ECG reports together and delivers a clinical-grade intelligence summary in seconds.
ESH AI’s Diagnostic Intelligence platform transforms unstructured medical reports into structured clinical insight.
Built for hospitals, diagnostic labs, and healthcare insurers, it surfaces what matters — fast, accurately, and with full evidence traceability.

The Global Problem

The World Generates More Medical Reports Than It Can Read

Every year, the global healthcare system produces a volume of diagnostic data that no workforce can fully process. Imaging procedures, laboratory tests, and clinical reports continue to grow in both scale and complexity.

The deeper problem is not volume it is structure.

More than 80% of healthcare data remains unstructured, locked inside narrative reports that standard systems cannot read, search, or analyse. As a result, critical diagnostic signals remain fragmented or overlooked.

Diagnostic errors including delayed, missed, and incorrect diagnoses are a leading contributor to preventable harm in healthcare systems globally.

The gap between data generated and data understood is widening.

Diagnostic Intelligence exists to close it.

What Diagnostic Intelligence Does

One Platform. Three Modalities. One Clinical Intelligence Summary.

Diagnostic Intelligence accepts pathology reports, radiology reports, and ECG recordings individually or in combination and processes them through a multi-stage AI pipeline.

The platform does not replace the clinician.
It performs the work that currently falls between systems:

+ Reading across modalities

+ Extracting structured data

+ Connecting fragmented findings

+ Producing a unified clinical summary

The result is a single, actionable intelligence output that clinicians, insurers, and patients can use.

Core Capabilities

Built on Three Core Capabilities

Multi-Modal Extraction

Reads each report and extracts structured clinical data including biomarkers, findings, and diagnostic signals.

Clinical Intelligence Synthesis

Integrates extracted data across modalities to form a structured clinical picture and generates a human-readable intelligence summary.

Retrospective Audit

Compares clinical findings against treatments or procedures, assesses justification, and flags cross-modal inconsistencies.

3.6 Billion+

Global Imaging Scale

80%+

Unstructured Data Problem

20%

Diagnostic Error Impact

< 90 Seconds

AI Processing Speed (Product Value)

Report Upload to Clinical Intelligence in Seconds

How It Works

step 01

01

Upload

Upload pathology, radiology, or ECG reports in standard formats including PDF, image, DICOM, or text.

step 02

02

Extract

AI reads each report and extracts structured data. Biomarkers, findings, and signals are identified and prioritised.

step 03

03

Synthesise

Findings across modalities are integrated to generate a diagnosis, treatment pathway, and evidence-backed summary.

step 04

04

Audit

Clinical findings are evaluated against treatment logic, and inconsistencies are flagged for review.

step 05

05

Act

Outputs are delivered as structured reports, downloadable summaries, and patient-friendly explanations.