2026-10-12T22:48:17Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33865697 2026-09-16T17:31:10Z category_146 category_12 category_734 category_931 category_64 portal_5 item_type_3 month_year_09_2026

<p>Properties of liver and prostate examinations used in process optimization analysis. Each exam may be defined by a set of selected imaging sequences and protocols. Each exam instance results in multiple scanner log events, including imaging measurements (events associated with MRI image acquisition), which are aggregated at the exam level to create variables for the RL-XAI models.</p> Sean Hartmann (19548544) Andrew Sharp (342500) Heather Johnston (11514937) Michael S. Gee (24998606) Susie Y. Huang (2699911) Mukesh G. Harisinghani (24998609) Jens Gühring (24998612) Wei-Ching Lo (832669) Vibhas Deshpande (554047) Oleg S. Pianykh (8963060) Space Science Cell Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Cancer xlink "> n three outpatient facilities rich device logs operationally meaningful rules new scanning sequence median scan time five 3t scanners average scan duration 20 top rules 1000 top rules imaging exams longer selected boolean rules oriented optimization metrics top rule resulted rule &# 8217 optimal boolean rule learning ai models long liver exams learning explainable ai learning ai exams performed selected using explainable rule requiring optimization process optimization word environment transform feature sustainable improvements supporting process support measurable statistical significance smaller set similar optimizations prostate protocols prostate cases practical efficiency permutation test model rule main goal january 2024 january 2019 f1 score domain expertise discover short 25 minutes 001 ). <p>Properties of liver and prostate examinations used in process optimization analysis. Each exam may be defined by a set of selected imaging sequences and protocols. Each exam instance results in multiple scanner log events, including imaging measurements (events associated with MRI image acquisition), which are aggregated at the exam level to create variables for the RL-XAI models.</p> 2026-09-16T17:31:02Z Dataset Dataset 10.1371/journal.pone.0358070.t001 https://figshare.com/articles/dataset/_p_Properties_of_liver_and_prostate_examinations_used_in_process_optimization_analysis_Each_exam_may_be_defined_by_a_set_of_selected_imaging_sequences_and_protocols_Each_exam_instance_results_in_multiple_scanner_log_events_including_imaging/33865697 CC BY 4.0