{"doi":"10.1002/dad2.12441","title":"Explainable automated evaluation of the clock drawing task for memory impairment screening","abstract":"Introduction: The clock drawing task (CDT) is frequently used to aid in detecting cognitive impairment, but current scoring techniques are time-consuming and miss relevant features, justifying the creation of an automated quantitative scoring approach. Methods: = 7,109), and an intelligent system was created to examine these files in a study of aging World Trade Center responders. Outcomes were CDT, Montreal Cognitive Assessment (MoCA) score, and incidence of mild cognitive impairment (MCI). Results: The system accurately distinguished between previously scored CDTs in three CDT scoring categories: contour (accuracy = 92.2%), digits (accuracy = 89.1%), and clock hands (accuracy = 69.1%). The system reliably predicted MoCA score with CDT scores removed. Predictive analyses of the incidence of MCI at follow-up outperformed human-assigned CDT scores. Discussion: We created an automated scoring method using scanned and stored CDTs that provided additional information that might not be considered in human scoring.","journal":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","year":2023,"id":362210,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8243,"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":978422,"name":"Lauren L. Richmond","orcid":"0000-0001-6793-5773","position":1,"is_corresponding":false},{"id":987709,"name":"Steven Skiena","orcid":"0000-0003-0397-7514","position":2,"is_corresponding":false},{"id":476524,"name":"Melissa A. Carr","orcid":"0000-0002-0870-6628","position":3,"is_corresponding":false},{"id":366958,"name":"Sean Clouston","orcid":"0000-0002-6124-0329","position":4,"is_corresponding":false},{"id":264440,"name":"Benjamin J. Luft","orcid":"0000-0001-9008-7004","position":5,"is_corresponding":false},{"id":1115822,"name":"Dakota Handzlik","orcid":null,"position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":null,"created_at":"2026-07-19T01:14:19.266946Z","pmid":"37223333","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":[]}