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Operator Learning for Transcranial Focused Ultrasound Digital Twins
US & West ·
A new approach to modeling transcranial focused ultrasound based on operator learning is proposed: a coordinate-aware neural operator tFUSOperator that maps free-field pressure, skull anatomy, and treatment parameters to the intracranial field in a shared physical coordinate frame. This is the first operator-based formulation for tFUS field prediction.
Why it matters
Demonstrates the potential of operator learning for fast and accurate digital twins in medical applications, which could be adapted for other physical systems.
The National University of Singapore (NUS) and the Society of Algorithmic Intelligence (SoAI) is hosting IntelligenceX 2026: Global Quantum × AI Frontier, from 24 to 26 September 2026 at NUS University Town, focused on advances at the intersection of quantum computing and artificial intelligence…
A pre-registered study with 317 participants compared AI-moderated, human-moderated and static interviews. AI moderation matched human depth, covered more themes and, at fixed budget, surfaced more customer needs; digital twins built from interview data were validated against held-out responses to marketing stimuli.