{"id":"W4412368733","doi":"10.21649/akemu.v31ispl2.5827","title":"Ethical issues of Artificial Intelligence in Healthcare in Developing Countries: A Systematic Review of Empirical Studies","year":2025,"lang":"en","type":"review","venue":"Annals of King Edward Medical University","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Medicine; Health care; Systematic review; Developing country; Engineering ethics; Management science; MEDLINE; Economic growth; Law; Engineering","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":[0.03790614,0.001100111,0.004457145,0.01555489,0.001171898,0.004205783,0.001592449,0.001919394,0.003201617],"category_scores_gemma":[0.1402904,0.001183174,0.005150196,0.01802577,0.002266187,0.004354941,0.003038668,0.002080285,0.0002641698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005987213,"about_ca_system_score_gemma":0.0284678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008002793,"about_ca_topic_score_gemma":0.02730166,"domain_scores_codex":[0.9569326,0.02087525,0.0141974,0.001508391,0.005835163,0.0006512274],"domain_scores_gemma":[0.8186301,0.1508692,0.01845642,0.002151457,0.009084449,0.0008083398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001041155,0.00001970179,0.001220694,0.9118761,0.003429583,0.0001516944,0.001140005,0.000119656,0.00009235483,0.001261362,0.00230678,0.07827791],"study_design_scores_gemma":[0.00005799857,0.00005548902,0.002078881,0.9641393,0.009956118,0.0002504713,0.001170035,0.0000515291,0.00009227479,0.0007889679,0.02133209,0.00002674204],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008109995,0.9972095,0.0003067373,0.000833626,0.00009913738,0.0002593896,0.0001673267,0.000004363068,0.00030892],"genre_scores_gemma":[0.01406026,0.9829115,0.001117087,0.0009102371,0.0000601127,0.0007129515,0.0001566121,0.000005957001,0.00006529081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03790614,"threshold_uncertainty_score":0.2004692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4497420923440397,"score_gpt":0.5754757262780191,"score_spread":0.1257336339339794,"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."}}