I-AI ku-Radiology
I-AI ku-radiology isebenzisa ukufunda okujulile ukuthola, ukukala, nokuhlaba umkhosi okutholwe ezithombeni zezokwelapha ezifana nama-X-ray, i-CT, ne-MRI scan.
Uhlolojikelele
It acts as a tireless second reader that boosts accuracy and speeds up overloaded radiology departments.
I-Deep Dive
I-Radiology ikhiqiza inqwaba yezithombe, futhi i-AI isiza ngokubona izinto ezingaqondakali abantu abangase baphuthelwe noma ngokuhlola izimo eziphuthumayo. Amanethiwekhi e-Convolutional neural aqeqeshelwe izikena ezilebulwe angakwazi ukubona izigaxana zamaphaphu ku-CT, ahlabe umkhosi ukopha kwe-intracranial, akhombe i-retinopathy yesifo sikashukela, futhi akale ukukhula kwesimila. I-FDA isuse amakhulukhulu emishini ye-radiology ye-AI, eminingi ukuze ihlolwe, ngokwesibonelo iphushela i-stroke noma i-pneumothorax phezulu ohlwini lokusebenza ukuze ifundwe kungakapheli imizuzu. Ucwaningo lubonisa ukuthi i-AI ingafanisa noma yeqe ama-radiologists emisebenzini emincane efana nokuhlolwa kwe-mammography, kanye nokugeleza komsebenzi okuhlangene komuntu-plus-AI kuvame ukushaya kukodwa. Okubaluleke kakhulu, amathuluzi amaningi ayasiza esikhundleni sokuthatha indawo, isazi se-radiologist sisayina umbiko wokugcina.
I-Technical Insight
Ihhashi lomsebenzi inethiwekhi ye-convolutional neural, efunda izici ezibonwayo zesigaba, imiphetho, indlela yokwenza, bese kuba izimo, kusukela ezigidini zamaphikseli. Ngemisebenzi efana nokuchaza isimila, izakhiwo zesegmentation ezifana ne-U-Net ilebula ngephikseli ngayinye. Amamodeli aqeqeshelwa kumadathasethi amakhulu anezichasiselo, futhi ukusebenza kwahlulelwa ngokuzwela, ukucaciswa, kanye ne-AUC. Inselele enkulu iwukuba kujwayelekile, imodeli eqeqeshelwe izikena zesibhedlela esisodwa ingehlisa izinga kwesinye ngenxa yomehluko wemishini, imigomo, kanye nenani leziguli, okubizwa ngokuthi yi-domain shift.
I-Strategic Impact
Context and rules
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Ukulawulwa kwekhwalithi
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Yakha ukukhetha
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ikusasa le-AI kuRadiology
Lindela i-AI ukuthi isuke kuzitholi zomsebenzi owodwa iye kumamodeli ayisisekelo afunda izindlela eziningi futhi ahlanganise umlando wesiguli nokuskena kwangaphambilini. Amamodeli akhiqizayo asevele abhala imibiko yokuqala ukuze izazi ze-radiologists zihlelwe, futhi kugxilwa ekushintsheni ekuthembekeni, ekulinganiseni, nasekucwaningweni okuchemile kuzo zonke izinhlobo zabantu. Abalawuli kanye nemizimba yobungcweti baqinisa ukuqinisekiswa nokuqapha kwangemva kokumaketha. Isiphetho esingase sibe khona ukukhushulwa, ukukhulula ama-radiologists ezilinganisweni ezijwayelekile kanye ne-triage ukuze bagxile ezimweni eziyinkimbinkimbi nokunakekelwa kwesiguli.
Ukuqaliswa Komhlaba Wangempela
Ithuluzi lokunquma le-AI liskena ama-CT ekhanda angenayo bese lihlaba umkhosi ngokushesha okusolakala ukuthi ukopha kobuchopho ukuze isazi se-radiologist siwafunde kuqala.
I-Mammography AI igqamisa izifunda ezisolisayo futhi isebenza njengomfundi wesibili ukubamba umdlavuza wamabele kusenesikhathi.
Ama-algorithms alinganisa ngokuzenzakalelayo futhi alandelele usayizi wesimila kuzo zonke izikena ze-CT zokulandelela, okusindisa umsebenzi wezandla we-radiologists.
I-AI ihlola izithombe ze-retina ze-diabetesic retinopathy emitholampilo ngaphandle kochwepheshe bamehlo osendaweni, okuvumela ukudluliselwa kwangaphambi kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
I-AI ekubuyekezweni kwenkontileka
Imibuzo evame ukubuzwa
What is AI in Radiology?
I-AI ku-radiology isebenzisa ukufunda okujulile ukuthola, ukukala, nokuhlaba umkhosi okutholwe ezithombeni zezokwelapha ezifana nama-X-ray, i-CT, ne-MRI scan. Isebenza njengomfundi wesibili ongakhathali othuthukisa ukunemba futhi usheshise iminyango egcwele kakhulu ye-radiology.
Iyiphi i-neural network architecture eyi-workhorse yokuhlaziya izithombe ze-radiology?
Amanethiwekhi e-Convolutional neural (CNNs) afunda izici ezibonakalayo ze-hierarchical kumaphikseli esithombe futhi alawule ukuhlaziywa kwesithombe sezokwelapha.
Iyiphi indima evamile yamathuluzi e-AI asulwe yi-FDA ku-radiology namuhla?
Amathuluzi amaningi asuliwe asiza ngokuhlola okutholakele okubalulekile ngesikhathi ukuze kufundwe kuqala, kuyilapho i-radiologist isawusayina umbiko.
I-'domain shift' ibhekisa kuphi ku-radiology AI?
Ukushintsha kwesizinda kuwukucekelwa phansi uma imodeli eqeqeshwe kudatha yesikhungo esisodwa ibhekene nezisetshenziswa ezihlukene, izimiso eziyisisekelo, noma inani labantu.
Isiphi isakhiwo esivame ukusetshenziselwa ukuchaza (ingxenye) yephikseli yesimila ngephikseli?
I-U-Net iyisakhiwo sesegimenti esilebula iphikseli ngalinye, ilungele ukuhlukanisa izakhiwo ezifana nezimila noma izitho.
Ingabe ukugeleza komsebenzi okuhlanganisiwe komuntu-plus-AI kuvame ukwenza kanjani imisebenzi efana ne-mammography?
Ucwaningo luvame ukukhombisa inhlanganisela yomuntu-plus-AI idlula i-radiologist noma i-algorithm iyodwa.