{"doi":"10.1002/ana.26682","title":"A Deep Learning Framework for Deriving Noninvasive Intracranial Pressure Waveforms from Transcranial Doppler","abstract":"Increased intracranial pressure (ICP) causes disability and mortality in the neurointensive care population. Current methods for monitoring ICP are invasive. We designed a deep learning framework using a domain adversarial neural network to estimate noninvasive ICP, from blood pressure, electrocardiogram, and cerebral blood flow velocity. Our model had a mean of median absolute error of 3.88 ± 3.26 mmHg for the domain adversarial neural network, and 3.94 ± 1.71 mmHg for the domain adversarial transformers. Compared with nonlinear approaches, such as support vector regression, this was 26.7% and 25.7% lower. Our proposed framework provides more accurate noninvasive ICP estimates than currently available. ANN NEUROL 2023;94:196-202.","journal":"Annals of Neurology","year":2023,"id":339710,"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":16,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9526,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":574006,"name":"Kalijah Terilli","orcid":"0000-0003-2198-5147","position":1,"is_corresponding":false},{"id":1073680,"name":"Bennett Weinerman","orcid":"0000-0002-9674-122X","position":2,"is_corresponding":false},{"id":863934,"name":"Daniel Nametz","orcid":null,"position":3,"is_corresponding":false},{"id":863200,"name":"Soon Bin Kwon","orcid":"0000-0001-5076-0743","position":4,"is_corresponding":false},{"id":574007,"name":"Ángela Velázquez","orcid":"0000-0002-0610-9619","position":5,"is_corresponding":false},{"id":950115,"name":"Shivani Ghoshal","orcid":"0000-0002-8283-197X","position":6,"is_corresponding":false},{"id":301016,"name":"David Roh","orcid":"0000-0003-1927-7686","position":7,"is_corresponding":false},{"id":509881,"name":"Sachin Agarwal","orcid":"0000-0003-0559-9326","position":8,"is_corresponding":false},{"id":41936,"name":"E. Sander Connolly","orcid":"0000-0002-6877-3371","position":9,"is_corresponding":false},{"id":104631,"name":"Jan Claassen","orcid":"0000-0002-5893-8531","position":10,"is_corresponding":false},{"id":509880,"name":"Soojin Park","orcid":"0000-0002-3688-7307","position":11,"is_corresponding":false},{"id":574005,"name":"Murad Megjhani","orcid":"0000-0002-7613-6444","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-19T01:10:49.535464Z","pmid":"37189299","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":[]}