2026-10-13T22:31:39Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33903636 2026-09-17T17:26:31Z category_7 category_19 category_21 category_46 category_931 category_106 portal_5 item_type_3 month_year_09_2026

<p>Criteria for severe epinephrine adverse safety events (ASEs).</p> Diego Trujillo (22887734) Dulin Wang (16633448) Nathan Bahr (4104388) Tina Yi-Jin Hsieh (22887737) Byeongyeon Cho (25037520) Garth Meckler (4510570) Matthew Hansen (445716) Carl Eriksson (8806406) Kyu Seo Kim (22887740) Steven Bedrick (5678912) Xiaoqian Jiang (124514) Jeanne-Marie Guise (4227556) Medicine Pharmacology Biotechnology Immunology Information Systems not elsewhere classified Science Policy two expert physicians shown incredible promise ontology &# 8211 low &# 8211 independently dually reviewed high &# 8211 achieving similar performance detecting epinephrine overdoses clinical expert knowledge clinical decision making established medical knowledge identify medication errors explainable ai ), clinical ai applications clinical applications epinephrine administration clinical records clinical information ases ), medical errors medical charts trustworthy ai training data stakes scenarios rater agreement particularly useful novel approach justifiable differences judgment rather identifying delays human experts hallucination issues fabricate information easily adaptable biases present based tool ai presents 402 lines <p>Criteria for severe epinephrine adverse safety events (ASEs).</p> 2026-09-17T17:26:24Z Dataset Dataset 10.1371/journal.pdig.0001174.t001 https://figshare.com/articles/dataset/_p_Criteria_for_severe_epinephrine_adverse_safety_events_ASEs_p_/33903636 CC BY 4.0