G.AI: an AI-driven platform for phenotype standardization, variant interpretation and structured clinical reporting in rare disease genomic diagnosis.

Integrated AI platform: automated HPO phenotyping, ACMG variant interpretation, structured clinical report generation

G.AI is an integrated AI platform deployed in routine diagnostics for phenotype standardization (HPO), variant interpretation, and structured clinical report generation in rare diseases. Validated on 39,156 real exome and trio cases, the platform achieves 94% HPO concordance, 95% Top-1 diagnostic accuracy, and reduces analysis time from 6 hours to 48 minutes. A 1.6% improvement in diagnostic yield is documented across the entire cohort. The system integrates ACMG, OMIM, ClinVar, and family segregation data.

Synthesis written by Geno'X. For the full original abstract, please refer to the source publication.

With 39,000 validated clinical cases, G.AI is among the best-evaluated diagnostic AI platforms in rare diseases to date. The 1.6% yield improvement may seem modest in absolute terms, but represents several hundred additional diagnoses at this scale. Potential biases in gold standard construction warrant critical attention before generalization.

Clinical impact: 3/3 · Evidence strength: 3/3 · Novelty: 2/2 · Sample size: 1/1 · Publication status: 0/1 → Total: 9/10