{"id":"W3136025280","doi":"10.2196/22959","title":"Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowe Centrum Badań i Rozwoju; Horizon 2020 Framework Programme; Uniwersytet Śląski w Katowicach; University of British Columbia","keywords":"Telehealth; Workflow; Telemedicine; Pandemic; eHealth; Triage; Health care; Interactive voice response; Computer science; Remote patient monitoring; Medical emergency; Referral; Medicine; Coronavirus disease 2019 (COVID-19); Nursing; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005276094,0.0005284217,0.0003256233,0.001559251,0.001019585,0.004779135,0.0008437941,0.001752329,0.004111925],"category_scores_gemma":[0.01856179,0.0001634588,0.0004469272,0.0009082162,0.001794916,0.003841489,0.00221287,0.002142996,0.0009518135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896995,"about_ca_system_score_gemma":0.002065712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177028,"about_ca_topic_score_gemma":0.001929818,"domain_scores_codex":[0.9966815,0.002164826,0.0001768021,0.0002245418,0.0005705505,0.000181788],"domain_scores_gemma":[0.9845359,0.01256289,0.0008591237,0.0006082475,0.0007748827,0.0006589914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003982159,0.0009161372,0.0238542,0.001717871,0.0002724073,0.0005757126,0.005615587,0.007263811,0.004896958,0.06431357,0.04504035,0.8451352],"study_design_scores_gemma":[0.0002663143,0.001628769,0.0348709,0.005623821,0.0004261323,0.001597632,0.0161561,0.07515705,0.009138776,0.4830503,0.3717145,0.0003697415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1481414,0.04505672,0.2038352,0.3381643,0.003549925,0.0005409867,0.0005798902,0.002807589,0.257324],"genre_scores_gemma":[0.8660651,0.01703316,0.09205691,0.015663,0.001335738,0.0001975058,0.000303704,0.0001296998,0.00721521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005276094,"threshold_uncertainty_score":0.02790302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100685232262571,"score_gpt":0.4181978221159745,"score_spread":0.3571909697933488,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}