{"total":1,"items":[{"citing_arxiv_id":"2607.09948","ref_index":8,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Artificial Intelligence Across the Cardiac Amyloidosis Diagnostic Pathway: From Single-Modality Detection to Multimodal Clinical Integration","primary_cat":"physics.med-ph","submitted_at":"2026-07-10T20:02:50+00:00","verdict":"ACCEPT","verdict_confidence":"HIGH","novelty_score":4.0,"formal_verification":"none","one_line_summary":"AI for cardiac amyloidosis is most mature for bone-scintigraphy detection and SPECT/CT tracer-burden quantification; subtype classification, prognosis, and treatment-response monitoring remain early-stage and need multimodal, longitudinally validated systems.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}