{"id":"W4380536977","doi":"10.1109/access.2023.3285596","title":"Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review","year":2023,"lang":"en","type":"review","venue":"IEEE Access","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Innovation and Technology Commission; Research Grants Council, University Grants Committee; Hamad Bin Khalifa University; Qatar National Library; Khalifa University of Science, Technology and Research; Qatar Foundation","keywords":"Computer science; Wearable computer; Health care; Big data; Cloud computing; Data science; Modalities; Artificial intelligence; Relevance (law); Wearable technology; Precision medicine; Data mining; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024792,0.000966217,0.001562812,0.003448089,0.0003738111,0.00168026,0.0009764262,0.001860912,0.004297037],"category_scores_gemma":[0.001763299,0.0003711772,0.000851072,0.003973889,0.0007370572,0.001973425,0.0008284355,0.001931319,0.002376652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006661955,"about_ca_system_score_gemma":0.001646493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603848,"about_ca_topic_score_gemma":0.001943791,"domain_scores_codex":[0.99955,0.00009369041,0.0000827525,0.00007508762,0.0001663863,0.00003214306],"domain_scores_gemma":[0.9985515,0.0009442389,0.0001148548,0.00003569528,0.000302531,0.00005122055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005081002,0.00007687171,0.0002469322,0.02721277,0.0001084115,0.0002051547,0.00009192762,0.0003635728,0.0008389777,0.006815054,0.03021698,0.9337725],"study_design_scores_gemma":[0.00001034236,0.0001021065,0.0007116928,0.009732197,0.0001535981,0.001260756,0.00009455091,0.0001717193,0.0003559645,0.003647817,0.9837256,0.00003372011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004888291,0.9984478,0.000164656,0.0003024352,0.0002061629,0.000004647529,0.00001133579,0.000005663273,0.000808362],"genre_scores_gemma":[0.0004235013,0.9985511,0.000225262,0.0002265043,0.0002465451,0.000005879183,0.00001744264,0.000001479052,0.0003023526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004297037,"threshold_uncertainty_score":0.01437503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5076975144256946,"score_gpt":0.5825827555928399,"score_spread":0.07488524116714534,"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."}}