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Open-source OCR pombi inoderedza cancer registry data latency

Vatsvagiri vepaYunivhesiti yeMinnesota vakagadzira pombi yakasanganiswa yakavhurika-sosi yeOCR iyo inobvisa genomic bvunzo zvibodzwa kubva mumishumo yekiriniki ne97% huchokwadi, zvichigona kutsiva inononoka yekunyora dhata.

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Source-provided image accompanying Open-source OCR pipeline reduces cancer registry data latency
Source referenceKwakanyorwa
Muparidzi
bioengineer.org
Source link
bioengineer.orghttps://bioengineer.org/ai-reads-the-charts-how-open-source-ocr-could-slash-cancer-data-delays/
Source type
Yakabatanidzwa sosi - yekutanga-sosi mamiriro haasati asimbiswa.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

OCR (Optical Character Recognition)
Tekinoroji inoshandura mavara mumifananidzo kana scanner kuita mavara anoverengwa nemuchina.
Pipeline
Iyo yakarongedzerwa kufambiswa kwebasa rekutanga, nhanho dzemuenzaniso, uye postprocessing matanho.
Kunonoka
Nguva iri pakati pekutumira chikumbiro uye kugamuchira zvakabuda zvemodhi.
Zviedze iwe pachakoAI Models Inotsanangurwa Mibvunzo

Chii chaitika

Chikwata chekutsvagisa chinotungamirwa neYunivhesiti yeMinnesota chakaratidza kuti pombi yakavhurika-sosi optical character recognition (OCR) inogona kunyatso tora genomic kudzokorora zvibodzwa kubva pakaongororwa Oncotype DX kenza yemazamu. Chidzidzo ichi, chakaburitswa muCancer Causes & Control, chakashandisa musanganiswa weTesseract neEasyOCR injini kugadzirisa 675 mishumo, kuwana 97% chiyero chechibvumirano nemanyorero emunhu. Iyo otomatiki sisitimu yakawedzera zvakanyanya kumhanya kwechinyakare bhuku registry yekupinda, iyo inowanzotarisana ne12 kusvika ku18-mwedzi kunonoka.

Chikwata chekutsvagisa, chinosanganisira Qianyun Luo naSchelomo Marmor, vakagadzira 'hybrid OCR' (H-OCR) pombi yekugadzirisa iyo mumarejitari egomarara. Genomic test results, senge Oncotype DX recurrence score, inowanzochengetwa mumarekodhi ehutano emagetsi (EHRs) semifananidzo isina kurongeka kwete data inoverengwa nemuchina, inoda kunyorerwa nemaoko.

Iyo pombi yeH-OCR inoshandisa EasyOCR kune yayo yakadzama-yekudzidza-yakavakirwa mameseji yekuona uye Tesseract sejini yekudzokera shure yekuzivikanwa hunhu. Iyi nzira yakasanganiswa yakagadzirirwa kukwidziridza kugona kweEasyOCR kuisa denderedzwa zvirevo pamishumo uchishandisa kukurumidza kweTesseract uye kugona kuziva hunhu.

Mune seti yekusimbisa ye675 mishumo, iyo pombi yeH-OCR yakawana chibvumirano che97% nemanyorerwo ereferensi, ichipfuura iyo 91% yechokwadi mwero weyakajairwa registry abstraction. Iyo otomatiki maitiro akapedza basa mumaawa angangoita 4.9, zvichienzaniswa nemwedzi-yakareba kunonoka kunoenderana neazvino mafambisirwo ebasa.

Chidzidzo ichi chakawana kuti zvibodzwa zvepipeline zvakaratidza zvinobudirira zvingangoitika kukanganisa, zvichiratidza kuti mashandisirwo emangwana anogona kushandisa zvibodzwa izvi kuratidza zvisina chokwadi zvakatorwa kuti zviongororwe nevanhu, nokudaro zvichideredza njodzi yekusarudzika kwakakura kwekiriniki.

Kwakabva mashoko: bioengineer.org โ†—

Nei zvichikosha

Ikozvino kuvimba nekunyoreswa kwemanyorerwo edhata yegenomic kunogadzira bhodhoro rakakosha mukutsvaga kenza uye chaiyo oncology. Nekuita otomatiki kubviswa kwedata rakarongeka kubva kumaPDF asina kurongeka, iyi nzira yakavhurika-sosi inobvumira masisitimu ehutano kuti aburitse maregistries egomarara mukati menguva chaiyo. Kuchinja uku kwakakosha pakuvandudza humbowo hwehumbowo hwepasirese, kugonesa kukurumidza kuenzanisa kutsvagisa, uye nekupa iyo yakarongeka data inodiwa kudzidzisa ramangwana AI modhi mune oncology. Nekuti maturusi acho akavhurika-sosi uye anogona kushanda mukati meHIPAA-inoenderana nharaunda, iyi nzira inopa yakaderera-inogadziriswa mhinduro kune zviwanikwa-zvine dhizaini masangano kuti vagadzirise yavo data data pasina proprietary software.

Genomic biomarkers yakakosha kune chaiyo oncology uye kuyerwa kwemhando, asi mashandisiro awo parizvino akaganhurirwa nenguva yaanotora kuti awanikwe mumadhatabhesi ekutsvagisa. Kuderedza iyi inobvumira humwe humbowo hunoenderana nenguva.

Kushandiswa kwezvishandiso zvakavhurika-sosi seTesseract uye EasyOCR inova nechokwadi chekuti mhinduro yacho inowanikwa kune zvidiki kana zviwanikwa-zvisina-kumanikidzwa nzvimbo dzegomarara dzinogona kushaya bhajeti reinodhura, yevaridzi yedhata yekubvisa data software.

Chidzidzo ichi chakaratidza kuti mabhenefiti eichi otomatiki kubatwa anoshandiswa zvakanyanya kune akasiyana siyana evarwere, sezvo vaongorori vakawana kuti huwandu hwevarwere uye zvekiriniki zvinhu hazvina kufanotaura zvakanyanya zvikanganiso zvekubvisa.

Nekushandura zvisina kurongeka mabhinari zvinhu kuita data rakarongeka, pombi iyi inopa yemhando yepamusoro, yenguva refu data inodiwa pakudzidziswa uye kunatsa remangwana AI uye modhi yekudzidza yemuchina munzvimbo yeoncology.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3Bโ€“8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
Interactive Concept Check+10 Points
AI Models Explained Quiz

Which component of an AI application is the machine-learning model itself?

Zvekutarisa zvinotevera

Tsvagiridzo yeramangwana ichada kugadzirisa scalability yepombi iyi kupfuura yakamisikidzwa Oncotype DX fomati. Vanyori vakacherekedza kuti somatic inotevera-chizvarwa kutevedzana mishumo, iyo inoratidza yakakura heterogeneity kune vese vatengesi, inopa dambudziko rakanyanya kuomarara rekutora otomatiki. Pamusoro pezvo, nepo chidzidzo ichi chakasimbisa pombi inopesana neinodzokororwa dhatabheti, inotarisirwa kuyedzwa mukati mehupenyu hwekiriniki registry workflows inodiwa kuratidza kuvimbika kwayo munyika chaiyo, yakakwirira-vhoriyamu marongero.

Vatsvakurudzi vakanyatsoona kukosha kwekuedza pombi pane mamwe marudzi ezvinyorwa zvakasiyana-siyana, senge somatic inotevera-chizvarwa kutevedzana mishumo, iyo inosiyana zvakanyanya nemutengesi uye fomati.

Chidzidzo chacho chakaitwa pane imwe nzira yehutano; basa remangwana rinofanirwa kuongorora mashandiro epombi munzvimbo dzakawanda kuti ive nechokwadi chekuti inoramba yakasimba pakatarisana nekusiyana kwemhando ye scan, kugadziriswa kwefax, uye masisitimu eEHR akasiyana.

Inotarisirwa kubatanidzwa mune mhenyu registry workflows ndiyo inotevera nhanho inonzwisisika yekuona kana sisitimu ichichengetedza huroyi hwayo uye kushanda kwayo kana ichigadzira inouya data rekiriniki munguva chaiyo.

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