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Bullsai

Reliable and precise patient-specific targeting to guide neuromodulation therapies.

Turing Medical Bullsai delivers efficient, accurate and effective patient-specific targeting for neuromodulation therapies. Our automated workflows streamline and enhance the use of advanced imaging for targeting – improving clinical outcomes while freeing up time for clinicians to engage in direct patient care.

Optimize neuromodulation therapies with precision and efficiency

Unlock the full potential of neuromodulation therapies with our advanced solutions. From precise image-based targeting to seamless integrations and automated workflows, we ensure consistent, personalized care that leads to shorter procedure times, higher success rates, and predictable outcomes. Experience fewer side effects and discover new targets through personalized brain mapping, revolutionizing patient care.

Revolutionary image-based targeting for precision.

  • Precise image-based targeting
  • Consistent targeting results
  • Personalized brain mapping
  • Seamless integrations into existing platforms
  • Automated targeting workflows

Discover new targets for neuromodulation therapies.

  • Shorter procedure time
  • Higher success rates
  • Fewer side effects
  • Predictable outcomes
  • Identify new targets for neuromodulation therapies
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Ensures high quality input by providing real-time feedback and final data QC score.

  • Measure motion during MRI
  • Estimate impact on image quality
  • Ensure reproducible, accurate brain maps and targets

is FDA 510(k) cleared as FIRMM

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Uses AI/ML to identify functional targets with advanced visualization.

  • Create regions of interest based on anatomical landmarks
  • Identify and clean fiber bundles of clinically important while matter tracts
  • Automatically integrate targets into standard neuro-navigation platforms

CAUTION—Investigational device. Limited by Federal (or United States) law to investigational use. Pending FDA 510(k) clearance, not available for sale in the U.S.

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Provides visual confirmation of accurate electrode placement.

  • Confirm accurate electrode placement with AI
  • Visualize contacts with respect to surrounding structures and white matter tracts
  • Predict tissue volumes and networks activated by specific simulation parameters
  • Accelerate stimulation programming to optimize clinical outcomes

This product has not been submitted to the Food and Drug Administration for review or clearance.

“We now understand that most neuropsychiatric disorders involve dysfunction in distributed brain networks or circuits.

In response multiple neuromodulation approaches are being pursued as novel therapies to restore the balance of activity across affected brain networks. These emerging technologies all rely on advanced imaging to map structural and functional connections in individual patients in order to personalize the targeting of neuromodulation and measure its effects.”

Leo Sugrue, UCSF

Leo Sugrue

News & Events

Turing Medical Launches New Brain Mapping and Targeting Solution at ASSFN Biannual Meeting

Bullsai precision targeting for personalized neuromodulation therapy NASHVILLE, TENN., JUNE 1, 2024—Turing Medical, the leader in precision targeting for neuromodulation therapies, today announced the launch of Bullsai, its new brain mapping and […]

Turing Medical Co-Founders Publish in Nature

Turing Medical (Turing), formerly Nous Imaging, is proud to share that research led by our co-founders, Nico Dosenbach, M.D., PhD and Damien Fair, PA-C, PhD has been published on March 16 in Nature.

Turing Medical Co-Founder Damien Fair Awarded MacArthur Fellowship

Fair among 21 winners of prestigious “Genius Grant”

Pioneering precision targeting for neuromodulation therapies

Turing Medical enhances neuromodulation therapies by efficiently integrating personalized and precise image-based targeting into existing clinical workflows. Our automated pipelines provide accurate and reliable patient-specific targeting and streamline pre-operative planning—saving time, improving patient outcomes, and minimizing off-target effects.

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