{"doi":"10.1002/advs.202404755","title":"AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis","abstract":"Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use is currently limited by complex workflows necessitating lengthy expert-driven manual operations. Here, we propose an AI-powered computational framework for accelerated and democratized patient-specific modeling of AS hemodynamics from computed tomography (CT). First, we demonstrate that the automated meshing algorithms can generate task-ready geometries for both computational and benchtop simulations with higher accuracy and 100 times faster than existing approaches. Then, we show that the approach can be integrated with fluid-structure interaction and soft robotics models to accurately recapitulate a broad spectrum of clinical hemodynamic measurements of diverse AS patients. The efficiency and reliability of these algorithms make them an ideal complementary tool for personalized high-fidelity modeling of AS biomechanics, hemodynamics, and treatment planning.","journal":"Advanced Science","year":2024,"id":456910,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9495,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1083495,"name":"Daniel H. Pak","orcid":"0000-0003-3425-428X","position":1,"is_corresponding":false},{"id":871045,"name":"Luca Rosalia","orcid":"0000-0002-7214-7859","position":2,"is_corresponding":false},{"id":655823,"name":"Debkalpa Goswami","orcid":"0000-0002-6698-0027","position":3,"is_corresponding":false},{"id":1282269,"name":"Mary Robakowski","orcid":null,"position":4,"is_corresponding":false},{"id":1083498,"name":"Raymond G. McKay","orcid":"0000-0002-7989-5681","position":5,"is_corresponding":false},{"id":479661,"name":"Christopher Nguyen","orcid":"0000-0003-1475-2329","position":6,"is_corresponding":false},{"id":228067,"name":"James S. Duncan","orcid":"0000-0002-5167-9856","position":7,"is_corresponding":false},{"id":618505,"name":"Ellen T. Roche","orcid":"0000-0002-8952-2993","position":8,"is_corresponding":false},{"id":871046,"name":"Çağlar Öztürk","orcid":"0000-0002-3688-0148","position":0,"is_corresponding":true}],"reference_count":54,"raw_metadata":null,"created_at":"2026-07-19T02:03:32.516678Z","pmid":"39665137","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}