Ukubonelela ngengqiqo ebanzi ekudityanisweni kwengqondo (AI) kwi-radiology, imibutho emihlanu ehamba phambili ye-radiology idibene ukuze ipapashe iphepha elihlangeneyo elijongene nemingeni enokubakho kunye nemiba yokuziphatha ehambelana nale teknoloji entsha.
Ingxelo edibeneyo ikhutshwe yi-American College of Radiology (ACR), i-Canadian Society of Radiologists (CAR), i-European Society of Radiology (ESR), iRoyal College yeRadiologists yase-Australia kunye neNew Zealand (RANZCR), kunye neRadiological Society yaseNyakatho Melika (RSNA). Inokufikelelwa kwi-Insights into Imaging, ijenali yegolide evulekileyo ye-ESR ye-intanethi.
Eli phepha liqaqambisa iimpembelelo ezimbini ze-AI, ebonisa ukuqhubela phambili kwenguqu kwindlela yokhathalelo lwempilo kunye nemfuno engxamisekileyo yovavanyo olubalulekileyo ukwahlula izixhobo ze-AI ezikhuselekileyo nezinokuba yingozi. Amanqaku aphambili agxininisa imfuneko yokomeleza ukubekwa esweni kokusetyenziswa kunye nokhuseleko lwe-AI, kunye nokukhuthaza intsebenziswano phakathi kwabaphuhlisi, oogqirha, kunye nabalawuli ukujongana nemiba yokuziphatha kunye nokuqinisekisa ukuba i-AI enoxanduva idityaniswe kwimisebenzi ye-radiology. Ngaphaya koko, le nkcazo ibonelela ngemibono exabisekileyo kwabo bachaphazelekayo, ibonelela ngeendlela zokuvavanya uzinzo, ukhuseleko kunye nokusebenza okuzimeleyo. Oku kuyenza ibe sisixhobo esibalulekileyo sokuqhubela phambili kunye nokudityaniswa kwe-AI kwiradiyoloji.
Ethetha ngephepha, uNjingalwazi uAdrian Brady, umbhali okhokelayo kunye noSihlalo weBhodi ye-ESR, uthe: "Eli phepha libalulekile ekuqinisekiseni ukuba i-radiologists iyakwazi ukuchaza, ukuphucula nokugcina ikamva lomfanekiso wezonyango. Njengoko i-AI iya idityaniswa ngakumbi kwintsimi yethu, ibonisa amandla amakhulu kunye nemingeni. ukuqinisekisa ukusetyenziswa okunoxanduva kunye nokusebenza kakuhle kwe-AI ukuphucula ukhathalelo lwesigulane Ibeka inqanaba lexesha elitsha kwi-radiology, apho ukuveliswa kwezinto ezintsha kulungelelaniswa nokuqwalaselwa kokuziphatha, kwaye iziphumo zesigulane zihlala zihamba phambili.
AIinamandla okuzisa ukuphazamiseka okungazange kubonwe ngaphambili kwiradiyoloji kwaye inokuba neziphumo ezihle nezibi. Ukudityaniswa kwe-AI kwiradiology kunokuguqula indlela yokhathalelo lwempilo ngokuqhubela phambili ukuxilongwa, ubungakanani kunye nolawulo lweemeko zonyango ezininzi. Nangona kunjalo, njengoko ubukho kunye nokusebenza kwezixhobo ze-AI kwi-radiology kuqhubeka ukwanda, kukho imfuneko ekhulayo yokuvavanya ngokunzulu ukuba luncedo kwe-AI kunye nokwahlula iimveliso ezikhuselekileyo kwezo zinokuba yingozi okanye zingenakunceda ngokusisiseko.
Iphepha elidibeneyo elivela kuluntu oluninzi lichaza imingeni ebonakalayo kunye neengqwalasela zokuziphatha ezihambelana nokudibanisa i-AI kwi-radiology. Kanye kunye nokuchonga iindawo eziphambili ezixhalabisayo ukuba abaphuhlisi, abalawuli, kunye nabathengi bezixhobo ze-AI kufuneka bajongane phambi kokuphunyezwa kwabo kwiklinikhi, inkcazo iphinda iphakamise iindlela zokubeka iliso kwizixhobo zokuzinza kunye nokhuseleko ekusebenziseni ikliniki, kunye nokuvavanya amandla abo okusebenza ngokuzimeleyo.
"Esi nkcazo sinokusebenza zombini njengesikhokelo sokuziqhelanisa ne-radiologists malunga nendlela yokuphumeza ngokukhuselekileyo nangempumelelo kunye nokusetyenziswa kwe-AI ekhoyo namhlanje, kwaye njengemephu yendlela yendlela abaphuhlisi kunye nabalawuli abanokuhambisa ngayo i-AI ephuculweyo kwixesha elizayo," ababhali-bambisene bengxelo bathi. UJohn Mongan, MD, PhD, Radiologist, i-Vice-Chair ye-Informatics kwiSebe le-Radiology kunye ne-Biomedical Imaging kwiYunivesithi yaseCalifornia, eSan Francisco, kunye noSihlalo weKomiti ye-RSNA kwi-Artificial Intelligence..
Ababhali bajongana nemiba emininzi ebalulekileyo enxulumene nokudibanisa i-AI kuhambo lwemifanekiso yonyango. Bagxininisa imfuneko yokubekwa esweni okuphezulu kokusetyenziswa kunye nokhuseleko lwe-AI ekusebenzeni kweklinikhi. Ukongezelela, bagxininisa ukubaluleka kwentsebenziswano phakathi kwabaphuhlisi, oogqirha, kunye nabalawuli ukujongana neenkxalabo zokuziphatha kunye nokongamela ukusebenza kwe-AI.
Ukuba onke amanyathelo ukusuka ekuphuhlisweni ukuya ekudityanisweni kwezempilo ahlolwe ngokungqongqo, i-AI inokunikezela ngesithembiso sayo sokuphucula impilo-ntle yesigulane. Le nkcazo yoluntu oluninzi inika isikhokelo kubaphuhlisi, abathengi kunye nabasebenzisi be-AI kwi-radiology ukuqinisekisa ukuba imiba esebenzayo ejikeleze i-AI kuzo zonke izigaba ukusuka kwingcamango ukuya ekudityaneni kwexesha elide kukhathalelo lwempilo ichongiwe, iyaqondwa kwaye iqwalaselwe, kwaye ukuba isigulane kunye nokhuseleko loluntu kunye nentlalontle zizinto eziphambili eziqhuba zonke izigqibo.
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LnkMedngumvelisi okhethekileyo kuphuhliso kunye nemveliso yoxinzelelo oluphezulu lwee-ejenti ezitofayo-CT isitofu esisodwa,CT isitofu sentloko kabini,I-MRI yokuchasa i-media injector, I-Angiography yoxinzelelo oluphezulu lwesitofu semidiya.Ngophuhliso lwefektri, i-LnkMed ibambisene nenani labathengisi bezonyango basekhaya nabaphesheya, kwaye iimveliso zisetyenziswe ngokubanzi kwizibhedlele ezinkulu. Inkampani yethu inokubonelela ngeemodeli ezahlukeneyo ezithandwayo zezinto ezisetyenziswayo.LI-nkMed ihlala iphucula umgangatho wokufezekisa injongo "yokufaka isandla kwinkalo yokuxilongwa kwezonyango, ukuphucula impilo yezigulane".
Ixesha lokuposa: Apr-08-2024
