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Abacwaningi bakaCarnegie Mellon bathuthukisa i-AI ukuze bahlole i-placenta ye-preeclampsia

I-algorithm entsha yokufunda komshini evela e-Carnegie Mellon University kanye ne-UPMC ihlonza izimpawu ze-placenta biomarker ye-preeclampsia, ibhekana nokushoda okukhulu kodokotela bezifo ezikhethekile.

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Source-provided image accompanying Carnegie Mellon researchers develop AI to screen placentas for preeclampsia
Inkomba yomthomboUmthombo urekhodiwe
Umshicileli
medicalxpress.com
Isixhumanisi somthombo
medicalxpress.comhttps://medicalxpress.com/news/2026-09-ai-pathologists-preeclampsia-advancing-diagnosis.html
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Qala lapha

Imigomo ebalulekile

Ukufunda ngomshini (ML)
Izindlela ezivumela amasistimu ukuthi afunde amaphethini kudatha futhi athuthuke ngokuhamba kwesikhathi.
I-XAI (I-AI echazekayo)
Amasu nezinqubo zokwenza izibikezelo ze-AI zibe sobala futhi ziqondakale.
Ukuchazwa
Izinga lapho ukuziphatha kwemodeli kungachazwa futhi kuchazelwe abantu.
ZihloleI-AI Ethics Quiz

Kwenzekeni

Abacwaningi e-Carnegie Mellon University kanye ne-UPMC bathuthukise i-algorithm yokufunda yomshini engagadiwe ukuze babone i-vasculopathy ye-decidual ku-placental tissue, inkomba eyinhloko ye-postpartum preeclampsia. Ithuluzi lihlaziya inhlangano yendawo yamaseli e-trophoblast e-extravillous kanye namaseli abomvu egazi ukuze ahlabe umkhosi amacala adinga ukubuyekezwa okukhethekile, okuhloswe ngawo ukukhulisa amazinga okuhlolwa e-US lapho kuhlolwa khona angaphansi kuka-20% wama-placentas okwamanje.

Abacwaningi eMnyangweni Wezobunjiniyela Bemishini e-Carnegie Mellon University kanye noMnyango Wezifo Zomzimba e-UPMC bathuthukise i-algorithm yokufunda ngomshini ukuze kwenziwe lula ukuhlolwa kwe-placenta ye-preeclampsia. Lolu cwaningo, olushicilelwe ku-npj Digital Medicine, ludingida inselele yokuthi angaphansi kuka-20% wama-placenta e-United States ahlolwayo ngemva kokubeletha ngenxa yokushoda okukhulu kodokotela bezifo eziphathelene nokubeletha abaqeqeshiwe.

I-algorithm igxile ekuboneni i-decidual vasculopathy, isifo semithambo yegazi kamama ku-placenta ehambisana ne-postpartum preeclampsia. Imodeli isebenzisa izakhiwo zokudlulisa ukukhanya ezincike ku-stain ukuze ihlaziye inhlangano yendawo yamaseli e-extravillous trophoblast (EVT) namaseli abomvu egazi ngaphakathi kwemithambo ye-placental. Imikhumbi enempilo inama-EVT ambalwa ahlobene namangqamuzana egazi abomvu, kuyilapho imikhumbi egulayo inokuningi, okwenza amaphethini ahlukene i-AI engawathola.

Isici esibalulekile semodeli 'isikolo sokuhlukaniswa kwe-morphology,' esilinganisa ukuthi inhlangano yeseli ijwayelekile noma ayijwayelekile kangakanani. Le ndlela ivumela i-AI ukuthi ingagcini nje ngokuhlaba umkhosi isifo esingaba khona kodwa futhi ichaze isisekelo sebhayoloji sesiphetho saso, isici esibalulekile sokwakha ukwethenjwa ezinhlelweni ze-AI zomtholampilo. Abacwaningi bachaza le nqubo njengefana nokuthola imikhumbi ethile enesifo phakathi kwezinkulungwane ezibukeka zinempilo efanayo.

Imininingwane yomthombo: medicalxpress.com ↗

Kungani kubalulekile

I-Preeclampsia iyimbangela ehamba phambili yokufa okuhlobene nokukhulelwa, nokho amandla okuxilonga anqunyelwe kakhulu ukushoda kodokotela bezifo eziphathelene nokubeletha. Leli thuluzi le-AI linikeza isixazululo esinokwethenjelwa sokwenza ukuhlola kokuqala ngokuzenzakalela, okungase kuvumele izazi zezifo ukuthi zibuyekeze izimo eziningi futhi zithole izinkinga zangemva kokubeletha ngaphambi kwesikhathi. Ukugxila kwemodeli ekuchazekeni, kusetshenziswa 'isikolo sokuhlukaniswa kwe-morphology' ukuze kugqanyiswe umehluko wezinto eziphilayo, kusingathwa umgoqo omkhulu ekuthathweni komtholampilo ngokunikeza ukucabanga okusobala esikhundleni sokuphuma kwebhokisi elimnyama.

I-Preeclampsia iseyimbangela ehamba phambili yokufa okuhlobene nokukhulelwa, futhi izinkinga zangemva kokubeletha zingavela ezinsukwini noma amasonto ngemva kokubeletha. Ibhodlela lamanje lokuxilonga amandla omuntu; ngaphandle kokuhlolwa okuzenzakalelayo, iziguli eziningi ezisengozini zingase zingakutholi ukuhlonzwa okufika ngesikhathi kokungajwayelekile kwe-placenta.

Ukuthuthukiswa kwemodeli ye-AI echazekayo kubalulekile ekutholweni kokunakekelwa kwezempilo. Ngokuhlinzeka ngomehluko olinganisekayo webhayoloji kunokuxilongwa kwebhokisi elimnyama, ithuluzi lihlose ukwenza kube lula ukwethembana phakathi kwezazi zezifo. Lokhu kungafihli kubalulekile ekuhlanganiseni i-AI ezinqumweni zezokwelapha ezisezingeni eliphezulu lapho ukuziphendulela kubaluleke kakhulu.

Umthelela ongaba khona udlulela ngale kwe-preeclampsia. Abacwaningi basikisela ukuthi amamodeli e-AI asekelwe ku-biomarker afanayo angasetshenziswa kwezinye izimo, njengomdlavuza kanye nezifo ezihlobene nobuchopho, lapho ukutholakala kusenesikhathi kwezinguquko ezithile zamaselula kubalulekile emiphumeleni yokwelashwa.

Interactive Mechanism

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Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
I-Interactive Concept Check+10 Points
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Ongakubuka ngokulandelayo

Izifundo zokuqinisekisa umtholampilo ukuze kutholwe ukuzwela kwe-algorithm nokucaciswa kwezilungiselelo zesibhedlela somhlaba wangempela. Izindlela zokulawula zokugunyazwa kwe-FDA kwesoftware njengethuluzi lezokwelapha. Ukuhlanganiswa kwethuluzi ekuhambeni komsebenzi okukhona kwesibhedlela se-pathology kanye nomthelela walo esilinganisweni esiphelele sokuhlolwa kwe-placenta.

Isinyathelo esilandelayo esibalulekile siwukuqinisekisa okuzimele komtholampilo ukuze kuqinisekiswe ukunemba kwe-algorithm kubantu abahlukahlukene beziguli. Nakuba ucwaningo lubonisa ukuba nokwenzeka kobuchwepheshe, ukusebenza komhlaba wangempela kuzilungiselelo zesibhedlela kuzonquma ukusetshenziswa kwalo komtholampilo.

Kuzodingeka imvume yokulawula ngaphambi kokuba ithuluzi lisatshalaliswe kabanzi. Uhlaka lwe-FDA lwemishini yezokwelapha esekelwe ku-AI cishe luzodinga ukuhlolwa okuqinile ukuze kuqinisekiswe ukuphepha nokusebenza ngempumelelo, okungathatha iminyaka eminingana.

Izinhlelo zokunakekelwa kwezempilo zizodinga ukuhlola ukusebenza kahle kwezindleko zokusebenzisa amathuluzi okuhlola anjalo. Uma i-AI ingakhuphula kakhulu umthamo we-placenta ebuyekezwe odokotela bezifo, ingaholela ekungeneleleni kwangaphambili kanye nemiphumela yezempilo kamama ethuthukisiwe.

Imihlahlandlela ehlobene nemibuzo

Ukuziphatha kwe-AIAmamodeli e-AI AchaziweIkusasa le-AIHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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