Imibutho yeRadiology ijongene nokuphunyezwa kwe-AI kwi-Medical Imaging

Ukuze kubonelelwe ngengqiqo epheleleyo malunga nokuhlanganiswa kobukrelekrele bokwenziwa (AI) kwi-radiology, amaqela amahlanu aphambili e-radiology adibene ukuze apapashe iphepha elidibeneyo elijongana nemingeni enokubakho kunye nemiba yokuziphatha enxulumene nale teknoloji intsha.

Ingxelo edibeneyo ikhutshwe yi-American College of Radiology (ACR), i-Canadian Society of Radiologists (CAR), i-European Society of Radiology (ESR), iRoyal College of Radiologists yase-Australia naseNew Zealand (RANZCR), kunye ne-Radiological Society of North America (RSNA). Ingafumaneka nge-Insights into Imaging, ijenali ye-ESR evulelekileyo kwi-intanethi.

Eli phepha ligxininisa impembelelo embaxa ye-AI, libonisa zombini inkqubela phambili kwindlela yokhathalelo lwempilo kunye nesidingo esingxamisekileyo sovavanyo olubalulekileyo ukuze kwahlulwe izixhobo ze-AI ezikhuselekileyo nezinokuba yingozi. Amanqaku aphambili agxininisa imfuneko yokuqinisa ukubekwa esweni kokusetyenziswa kunye nokhuseleko lwe-AI, kunye nokukhuthaza intsebenziswano phakathi kwabaphuhlisi, oogqirha, kunye nabalawuli ukujongana nemiba yokuziphatha kunye nokuqinisekisa ukuba i-AI enoxanduva ifakiwe kwimisebenzi ye-radiology. Ngaphezu koko, ingxelo inika iimbono ezixabisekileyo kubachaphazelekayo, inikezela ngemigangatho yokuvavanya uzinzo, ukhuseleko, kunye nokusebenza okuzimeleyo. Oku kuyenza ibe sisixhobo esibalulekileyo sokuphucula kunye nokudibanisa i-AI kwi-radiology..

Ethetha ngale phepha, uNjingalwazi uAdrian Brady, umbhali okhokelayo kunye noSihlalo weBhodi ye-ESR, uthe: “Eli phepha libalulekile ekuqinisekiseni ukuba iingcali ze-radiology ziyakwazi ukuchaza, ukuphucula nokugcina ikamva lemifanekiso yezonyango. Njengoko i-AI idityaniswa ngakumbi kwicandelo lethu, inika amathuba amakhulu kunye nemingeni. Ngokujongana neenkxalabo ezisebenzayo, zokuziphatha, kunye nezokhuseleko, sijolise ekukhokheleni uphuhliso kunye nokusetyenziswa kwezixhobo ze-AI kwi-radiology. Eli nqaku alingombhalo nje kuphela; Oku kukuzibophelela ekuqinisekiseni ukusetyenziswa okufanelekileyo nokusebenzayo kwe-AI ukuphucula ukhathalelo lwezigulane. Libeka isiseko sexesha elitsha kwi-radiology, apho ukwenziwa kwezinto ezintsha kulungelelaniswa neengqwalasela zokuziphatha, kwaye iziphumo zezigulane zihlala ziphambili kuthi.”

AIinamandla okuzisa ukuphazamiseka okungazange kubonwe ngaphambili kwi-radiology kwaye inokuba nemiphumo emihle nemibi. Ukuhlanganiswa kwe-AI kwi-radiology kunokuguqula indlela yokhathalelo lwempilo ngokuphucula ukuxilongwa, ukulinganiswa, kunye nolawulo lweemeko ezininzi zonyango. Nangona kunjalo, njengoko ukufumaneka kunye nokusebenza kwezixhobo ze-AI kwi-radiology kuqhubeka nokwanda, kukho isidingo esikhulayo sokuvavanya ngokunzulu ukusebenza kwe-AI kunye nokwahlula iimveliso ezikhuselekileyo kwezo zinokuba yingozi okanye ezingeluncedo ngokupheleleyo.

Iphepha elidibeneyo elivela kwiintlanga ezininzi lichaza imingeni esebenzayo kunye nezinto eziqwalaselwayo zokuziphatha ezinxulumene nokudibanisa i-AI kwi-radiology. Kunye nokuchonga iindawo eziphambili ezixhalabisayo abaphuhlisi, abalawuli, kunye nabathengi bezixhobo ze-AI ekufuneka baziqwalasele ngaphambi kokuba zisetyenziswe kwizenzo zonyango, le ngxelo ikwacebisa iindlela zokujonga izixhobo ukuze kubekho uzinzo nokhuseleko ekusetyenzisweni kwezonyango, kunye nokuvavanya amandla azo okusebenza ngokuzimeleyo.

“Le ngxelo ingasebenza njengesikhokelo kwiingcali ze-radiology ezisebenza ngendlela yokuphumeza nokusebenzisa i-AI ngokukhuselekileyo nangokufanelekileyo ekhoyo namhlanje, kwaye njengemephu yendlela abaphuhlisi kunye nabalawuli abanokuhambisa ngayo i-AI ephuculweyo kwixesha elizayo,” batsho ababhali abasebenzisana nale ngxelo. UJohn Mongan, MD, PhD, Radiologist, uSekela Sihlalo we-Informatics kwiSebe le-Radiology kunye ne-Biomedical Imaging kwiYunivesithi yaseCalifornia, eSan Francisco, kunye noSihlalo weKomiti ye-RSNA yobuNgcali boBugcisa boBugcisa..

Ababhali bajongana nemiba emininzi ebalulekileyo enxulumene nokudibanisa i-AI kumsebenzi wokwenza imifanekiso yezonyango. Bagxininisa imfuneko yokubeka esweni ngokuphezulu ukusetyenziswa kunye nokhuseleko lwe-AI kwimisebenzi yezonyango. Ukongeza, bagxininisa ukubaluleka kwentsebenziswano phakathi kwabaphuhlisi, oogqirha, kunye nabalawuli ukujongana neenkxalabo zokuziphatha kunye nokujonga ukusebenza kwe-AI.

Ukuba onke amanyathelo ukusuka kuphuhliso ukuya ekudityanisweni kwezempilo avavanywa ngokungqongqo, i-AI inokufezekisa isithembiso sayo sokuphucula impilo-ntle yesigulane. Le ngxelo yemibutho emininzi inika isikhokelo kubaphuhlisi, abathengi kunye nabasebenzisi be-AI kwi-radiology ukuqinisekisa ukuba imiba esebenzayo ejikeleze i-AI kuzo zonke izigaba ukusuka kwingcamango ukuya ekudityanisweni kwexesha elide kwezempilo iyachongwa, iqondwa kwaye ijongwe, kwaye ukhuseleko kunye nokuphila kakuhle kwesigulane kunye noluntu zezona zinto ziphambili ekuthathweni kwezigqibo.

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