{"id":"W4411725331","doi":"10.1109/jiot.2025.3583408","title":"MID-LLM: Enhancing Medical Image Diagnostics With LLMs in a Blockchain AI Framework","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Science and Technology Program of Suzhou; Sichuan Province Science and Technology Support Program; Department of Education of Zhejiang Province","keywords":"Blockchain; Computer science; Medical imaging; Computer security; Artificial intelligence","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":[0.00340203,0.0004489883,0.0006475766,0.0007573121,0.0005725176,0.00119298,0.00150936,0.001095234,0.004203106],"category_scores_gemma":[0.008245981,0.0002606604,0.0004750825,0.0006651772,0.0009449319,0.002785362,0.002954098,0.001168397,0.001084742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009359519,"about_ca_system_score_gemma":0.002494395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652971,"about_ca_topic_score_gemma":0.004486031,"domain_scores_codex":[0.9984864,0.0006819752,0.00007503663,0.0002057295,0.0004410551,0.0001098576],"domain_scores_gemma":[0.9971638,0.001383257,0.0002106772,0.0007232301,0.0003464319,0.0001725827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006210908,0.0004743725,0.004950949,0.0002592562,0.0001150779,0.0004888725,0.0002562553,0.5009919,0.01016413,0.04824525,0.01177683,0.421656],"study_design_scores_gemma":[0.0000347432,0.00006321594,0.0001675894,0.00001265231,0.000007556183,0.00007463548,0.00002020522,0.9598956,0.002543651,0.03397964,0.003190463,0.000009993424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02546369,0.000429201,0.962853,0.001241644,0.00007176732,0.0001991638,0.0003535551,0.004959126,0.004428986],"genre_scores_gemma":[0.6619226,0.0003045738,0.3306523,0.0006183167,0.00008262526,0.0002773345,0.0009226915,0.0002105482,0.005008929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004203106,"threshold_uncertainty_score":0.01799184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058941477379894,"score_gpt":0.3934649112349372,"score_spread":0.3628754964611383,"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."}}