AIOct 1, 2025

PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis

arXiv:2510.01114v1
Originality Incremental advance
AI Analysis

This work addresses the need for safe, auditable, and low-latency diagnostic consultations at scale in clinical settings, though it appears incremental as it builds on an existing compact model.

The authors tackled the problem of clinician-aligned diagnosis in emergency departments by extending the PRISM sequence model into a panel-of-experts architecture with domain specialists, achieving high routing quality and large compute savings compared to consult-all approaches.

We present PRISM-Consult, a clinician-aligned panel-of-experts architecture that extends the compact PRISM sequence model into a routed family of domain specialists. Episodes are tokenized as structured clinical events; a light-weight router reads the first few tokens and dispatches to specialist models (Cardiac-Vascular, Pulmonary, Gastro-Oesophageal, Musculoskeletal, Psychogenic). Each specialist inherits PRISM's small transformer backbone and token template, enabling parameter efficiency and interpretability. On real-world Emergency Department cohorts, specialists exhibit smooth convergence with low development perplexities across domains, while the router achieves high routing quality and large compute savings versus consult-all under a safety-first policy. We detail the data methodology (initial vs. conclusive ICD-9 families), routing thresholds and calibration, and report per-domain results to avoid dominance by common events. The framework provides a practical path to safe, auditable, and low-latency consult at scale, and we outline validation steps-external/temporal replication, asymmetric life-threat thresholds, and multi-label arbitration-to meet prospective clinical deployment standards.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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