{"id":"https://openalex.org/W7201399711","doi":null,"title":"Explainable AI for Clinical Decision Support","display_name":"Explainable AI for Clinical Decision Support","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7201399711"},"language":"en","primary_location":{"id":"pmh:oai:nur.nu.edu.kz:123456789/18967","doi":null,"is_oa":false,"landing_page_url":"https://nur.nu.edu.kz/items/a084cacd-b34d-4be2-a2e2-3c196ceb0639/request-a-copy?bitstream=c355649f-fd1c-46d2-bfff-a1c00d2535cb","pdf_url":null,"source":{"id":"https://openalex.org/S4377196417","display_name":"Nazarbayev University Repository (Nazarbayev University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60559429","host_organization_name":"Nazarbayev University","host_organization_lineage":["https://openalex.org/I60559429"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Bachelor's thesis"},"volume":null,"type":"dissertation","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5145223188","display_name":"Akylbek Oralov","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oralov, Akylbek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5145088673","display_name":"Alisher Kenzhegaliyev","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenzhegaliyev, Alisher","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5145923794","display_name":"Assylbek Khalyk","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalyk, Assylbek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120090402","display_name":"Danila Lissovoy","orcid":"https://orcid.org/0009-0005-0060-1679","observed_orcids":["https://orcid.org/0009-0005-0060-1679"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lissovoy, Danila","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5144709830","display_name":"Rakhat Mustafin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mustafin, Rakhat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.023499999195337296,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.8140000104904175},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.9990000128746033},{"id":"https://openalex.org/keywords/dexterous-manipulation","display_name":"dexterous manipulation","score":0.6970000267028809},{"id":"https://openalex.org/keywords/coulomb-friction","display_name":"Coulomb friction","score":0.6759999990463257},{"id":"https://openalex.org/keywords/finite-element-analysis","display_name":"finite element analysis","score":0.6430000066757202},{"id":"https://openalex.org/keywords/chest-x-ray-screening","display_name":"chest X-ray screening","score":0.8809999823570251},{"id":"https://openalex.org/keywords/coronary-artery-disease-risk-prediction","display_name":"coronary heart disease risk prediction","score":0.9350000023841858},{"id":"https://openalex.org/keywords/hospital-readmission-prediction","display_name":"hospital readmission prediction","score":0.9120000004768372},{"id":"https://openalex.org/keywords/grad-cam","display_name":"Grad-CAM","score":0.9290000200271606},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.503000020980835},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.5490000247955322},{"id":"https://openalex.org/keywords/chexnet","display_name":"CheXNet","score":0.6690000295639038},{"id":"https://openalex.org/keywords/framingham-heart-study","display_name":"Framingham Heart Study","score":0.7990000247955322}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7670999765396118},{"id":"https://openalex.org/C147370603","wikidata":"https://www.wikidata.org/wiki/Q3801506","display_name":"Hyperelastic material","level":3,"score":0.6723999977111816},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.48890000581741333},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4643000066280365},{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.44850000739097595},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3797000050544739},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.3662000000476837},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32919999957084656},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C186068551","wikidata":"https://www.wikidata.org/wiki/Q13255585","display_name":"Tension (geology)","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2815999984741211},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C77056095","wikidata":"https://www.wikidata.org/wiki/Q543183","display_name":"Isotonic","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:nur.nu.edu.kz:123456789/18967","doi":null,"is_oa":false,"landing_page_url":"https://nur.nu.edu.kz/items/a084cacd-b34d-4be2-a2e2-3c196ceb0639/request-a-copy?bitstream=c355649f-fd1c-46d2-bfff-a1c00d2535cb","pdf_url":null,"source":{"id":"https://openalex.org/S4377196417","display_name":"Nazarbayev University Repository (Nazarbayev University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60559429","host_organization_name":"Nazarbayev University","host_organization_lineage":["https://openalex.org/I60559429"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Bachelor's thesis"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7198197447","https://openalex.org/W2119659507","https://openalex.org/W4386159611","https://openalex.org/W2057644215","https://openalex.org/W3005992337","https://openalex.org/W4410711404","https://openalex.org/W7131643167","https://openalex.org/W4416774832","https://openalex.org/W2546289181","https://openalex.org/W7128476520"],"abstract_inverted_index":{"Robotic":[0],"fingertips":[1],"that":[2,37,50,78,213,264],"can":[3,216],"grasp":[4,154],"delicate":[5],"objects":[6],"without":[7,268],"crushing":[8],"them,":[9],"yet":[10],"still":[11],"slide":[12],"over":[13],"a":[14,20,33,39,44,59,63,106,147,169,176,211,219,224,244,262,266,273,301,308,328,411,421],"surface":[15],"during":[16],"tactile":[17],"exploration,":[18],"remain":[19],"long-standing":[21],"problem":[22],"in":[23],"dexterous":[24],"manipulation.":[25],"Syrymova":[26],"et":[27],"al.":[28],"(2025)":[29],"addressed":[30],"this":[31],"with":[32,131,200,218,383],"single-piece":[34],"silicone":[35],"fingertip":[36,87],"combines":[38],"low-friction":[40],"hemispherical":[41],"dome":[42],"and":[43,48,99,105,138,175,188,206,223,235,259,372,380,397,420],"high-friction":[45],"ridged":[46],"halo,":[47],"reported":[49],"the":[51,86,93,185,189,196,201,232,253,352,377],"device":[52],"sustains":[53],"five":[54],"50":[55,160],"g":[56,161],"batches":[57,162],"inside":[58],"plastic":[60],"cup":[61,153],"at":[62,109,184,195],"closure":[64],"threshold":[65],"of":[66,85,150,159,172,181,237,311],"c1":[67],"=":[68,133,140,340,360],"2":[69,110],"N":[70,111,137],"before":[71],"gross":[72,193],"slip.":[73],"The":[74,204,250,281,406],"present":[75],"work":[76,215],"reproduces":[77],"experiment":[79],"numerically.":[80],"A":[81,126,294,320,342,391],"simplified":[82],"solid":[83],"model":[84,263],"is":[88,112,143,270,399,408],"imported":[89],"from":[90],"STEP":[91],"into":[92],"MATLAB":[94],"R2025b":[95],"PDE":[96],"Toolbox,":[97],"support":[98,248,329],"load":[100],"faces":[101],"are":[102],"mapped":[103],"explicitly,":[104],"force-controlled":[107],"compression":[108],"solved":[113],"on":[114,289,300,317,333,351],"four":[115],"progressively":[116],"refined":[117],"tetrahedral":[118],"meshes":[119],"up":[120],"to":[121,275],"\u223c1.9":[122],"\u00d7":[123],"105":[124],"elements.":[125],"regime-switching":[127],"Coulomb":[128],"friction":[129],"law,":[130],"\u00b5low":[132],"0.55":[134],"below":[135],"1":[136],"\u00b5high":[139],"0.72":[141],"above,":[142],"then":[144],"driven":[145],"through":[146],"discrete-time":[148],"simulation":[149,191],"Experiment":[151],"1:":[152],"followed":[155],"by":[156,416],"sequential":[157],"addition":[158],"every":[163],"10":[164],"s.":[165],"Static":[166],"FEA":[167],"produces":[168],"peak":[170,177],"displacement":[171],"3.68":[173],"mm":[174],"von":[178],"Mises":[179],"stress":[180],"90.4":[182],"kPa":[183],"finest":[186],"mesh,":[187],"dynamic":[190,207],"predicts":[192],"slip":[194],"fifth":[197],"batch,":[198],"agreeing":[199],"published":[202],"measurement.":[203],"static":[205],"results":[208],"together":[209],"establish":[210],"baseline":[212],"future":[214],"extend":[217],"hyperelastic":[220],"constitutive":[221],"law":[222],"fully":[225],"coupled":[226],"contact":[227],"formulation.":[228],"This":[229],"report":[230],"describes":[231],"design,":[233],"implementation,":[234],"evaluation":[236],"Explainable":[238],"AI":[239],"for":[240,272,376,387],"Clinical":[241],"Decision":[242],"Support,":[243],"multi-modal":[245],"clinical":[246,260,291],"decision":[247],"platform.":[249],"system":[251],"addresses":[252],"practical":[254],"gap":[255],"between":[256,395],"predictive":[257],"accuracy":[258],"usability:":[261],"outputs":[265,368],"probability":[267],"explanation":[269],"difficult":[271],"clinician":[274],"validate,":[276],"trust,":[277],"or":[278],"appropriately":[279],"override.":[280],"platform":[282,407],"integrates":[283],"three":[284,363],"complementary":[285],"prediction":[286],"pipelines":[287,364],"operating":[288],"different":[290],"data":[292,337],"modalities.":[293],"chest":[295],"X-ray":[296],"screening":[297],"module":[298],"based":[299],"pre-trained":[302],"CheXNet":[303],"convolutional":[304],"neural":[305],"network":[306],"achieves":[307,338,358],"mean":[309],"AUROC":[310],"0.788":[312],"across":[313],"14":[314],"pathologies":[315],"evaluated":[316],"7,818":[318],"images.":[319],"10-year":[321],"coronary":[322],"heart":[323],"disease":[324],"risk":[325,346],"predictor":[326,347],"using":[327,348],"vector":[330],"machine":[331],"trained":[332,350],"Framingham":[334],"Heart":[335],"Study":[336],"ROC-AUC":[339,359],"0.704.":[341],"30-day":[343],"hospital":[344],"readmission":[345],"LightGBM":[349],"UCI":[353],"Diabetes":[354],"130-US":[355],"Hospitals":[356],"dataset":[357],"0.724.":[361],"All":[362],"expose":[365],"formal":[366],"explainability":[367],"alongside":[369],"predictions:":[370],"Grad-CAM":[371],"Grad-CAM++":[373],"spatial":[374],"heatmaps":[375],"imaging":[378],"module,":[379],"SHAP":[381,396],"combined":[382],"LIME":[384,398],"feature":[385],"attribution":[386],"both":[388],"tabular":[389],"models.":[390],"cross-method":[392],"agreement":[393],"count":[394],"surfaced":[400],"as":[401,410],"an":[402],"inference-time":[403],"reliability":[404],"indicator.":[405],"deployed":[409],"browser-accessible":[412],"web":[413],"application":[414],"backed":[415],"FastAPI,":[417],"PostgreSQL,":[418],"Redis,":[419],"React":[422],"frontend,":[423],"orchestrated":[424],"via":[425],"Docker":[426],"Compose.":[427]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2026-08-07T00:00:00"}
