DeepView AI^® System – Frequently Asked Questions (FAQs)

The system operates in three integrated steps:

• Image Capture: DeepView AI^® System is non-invasive to the patient and requires only a single image.
  
• Multispectral Imaging: The imaging system collects data across visible and near-infrared light to analyse tissue viability.
  
• AI Analysis: Proprietary machine learning algorithms analyse the image data and compare it to a robust, clinically validated burn database to predict healing outcomes.
  

These insights are delivered directly to providers to support early decision-making and reduce diagnostic uncertainty.

In a pivotal U.S. burn study, the DeepView AI^® System demonstrated consistent predictability of burn wound healing potential when compared to traditional clinical judgment. While clinical assessments can be subjective and vary across providers, DeepView delivers objective, standardised insights that help reduce variability, especially within the critical first 24-48 hours post-injury—when visual assessments are often most challenging.

Spectral AI’s DeepView AI^® System enables clinicians to assess the healing potential of thermal burn wounds in real time, allowing for earlier interventions and more targeted treatment plans. It is part of a broader set of AI-driven wound care solutions designed to improve decision-making, patient outcomes, and workflow efficiency. By predicting whether a wound will heal on its own or require surgical intervention, DeepView helps clinicians prioritise treatment, reduce unnecessary procedures, and streamline burn center workflows.

When using the DeepView AI^® System, providers should:

• Ensure all dressings and topical agents are removed prior to scanning.
  
• Follow standard wound cleansing protocols before imaging.
  
• Understand that DeepView is indicated for thermal burn wounds only.
  
• Use the AI output in conjunction with clinical judgment and overall patient condition to guide treatment.

The DeepView AI^® System allows the clinician to manually draw on the image the burn wound area considered for an automatic TBSA calculation.

Clinical Evidence: The AI was trained using a proprietary, clinically validated burn wound database of over 340 billion data points. This data was collected through extensive clinical studies, including Spectral AI’s U.S. pivotal burn study, ensuring that sequentially imaged burn wounds up to surgery or 21-day healing.