New AI model helps brain surgeons analyze tumors on the fly

Dutch scientists have developed a deep learning tool called Sturgeon, which aids brain surgeons in classifying tumor types and subtypes during surgery. By examining specific segments of a tumor’s DNA, the AI tool provides rapid insights that can guide surgeons in their approach. In initial tests, the tool achieved a diagnostic turnaround time of less than 90 minutes, with 72% of diagnoses being correct. However, challenges such as tumor variability and elusive tumors remain. The tool represents a significant advancement in surgical decision-making but should ideally be used alongside a pathologist’s assessment.

 New AI model helps brain surgeons analyze tumors on the fly

New AI Model Helps Brain Surgeons Analyze Tumors on the Fly

Brain surgeons face critical decisions during tumor removal surgeries. Dutch scientists have developed an AI tool called Sturgeon to assist surgeons in making intra-surgical decisions by providing quick insights into tumor types and subtypes.

The AI examines specific segments of a tumor’s DNA, identifying distinct chemical structures. This analysis helps determine the tumor’s type and subtype, guiding surgeons in their approach to the operation.

Sturgeon, the deep learning system, has been rigorously tested and demonstrated real-time effectiveness in 25 surgeries, with a diagnostic turnaround time of less than 90 minutes. While 72% of diagnoses were correct, some challenges remain, such as tumor variability and sample size.

Key Features of Sturgeon:

  • Ultra-fast classification of tumor types and subtypes during surgery
  • Uses simulated data derived from widely available methylation array data
  • Outsources intensive computational tasks to minimize resources during surgery
  • Requires a sample size of about 5 x 5 x 5 mm for best results
  • Provides tumor diagnostics results within 1.5 hours, aligning with surgical timelines

While Sturgeon’s data is valuable, it is recommended to use it alongside a trained pathologist’s assessment. The tool represents a significant advancement in surgical decision-making, but its application may be limited to certain cancers.

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