Portal de Periódicos da CAPES

Radiology in 2018: Are You Working with AI or Being Replaced by AI?

2018; Radiological Society of North America; Volume: 287; Issue: 2 Linguagem: Inglês

10.1148/radiol.2018184007

1527-1315

David A. Bluemke,

Artificial Intelligence in Healthcare and Education

HomeRadiologyVol. 287, No. 2 PreviousNext CommunicationsFrom The EditorRadiology in 2018: Are You Working with AI or Being Replaced by AI?David A. Bluemke David A. Bluemke David A. Bluemke Published Online:Apr 18 2018https://doi.org/10.1148/radiol.2018184007MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. U.S. Food and Drug Administration. FDA permits marketing of clinical decision support software for alerting providers of a potential stroke in patients. https://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm596575.htm Google Scholar2. Barreira CM, Bouslama M, Haussen DC, et al. Automated large artery occlusion detection in stroke imaging: ALADIN study (abstr). International Stroke Conference 2018;49:AWP61. http://stroke.ahajournals.org/content/49/Suppl_1/AWP61Published online January 22, 2018. . Crossref, Google Scholar3. Clinical trials registration and results information submission; final rule. 81 Federal Register 64981 (2016). https://www.gpo.gov/fdsys/pkg/FR-2016-09-21/pdf/2016-22129.pdf. Accessed March 24, 2018. Google Scholar4. Patel NM, Michelini VV, Snell JM, et al. Enhancing next-generation sequencing-guided cancer care through cognitive computing. Oncologist 2018;23(2):179–185. doi: 10.1634/theoncologist.2017-0170. Published online November 20, 2017. Crossref, Medline, Google Scholar5. Somashekhar SP, Sepúlveda MJ, Puglielli S, et al. Watson for oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board. Ann Oncol 2018;29(2):418–423. doi: 10.1093/annonc/mdx781. Published online January 9, 2018. Crossref, Medline, Google ScholarArticle HistoryPublished online: Apr 18 2018Published in print: May 2018 FiguresReferencesRelatedDetailsCited ByArtificial intelligence in cardiac computed tomographyAfolasayo A.Aromiwura, TylerSettle, MuhammadUmer, JonathanJoshi, MatthewShotwell, JishanthMattumpuram, MounicaVorla, MarytaSztukowska, SohailContractor, AmirAmini, Dinesh K.Kalra2023Nov1 | Progress in Cardiovascular Diseases, Vol. 81Clinical applications of artificial intelligence in radiologyClaudiaMello-Thoms, Carlos A BMello2023Oct1 | The British Journal of Radiology, Vol. 96, No. 1150Les innovations d'intelligence artificielle en radiologie à l'épreuve des régulations du système de santéLéoMignot, ÉmilienSchultz2022May23 | Réseaux, Vol. N° 232-233, No. 2Clinical genetics: past, present and futureEvaTromans, JulianBarwell2022 | European Journal of Human Genetics, Vol. 30, No. 9Impact of artificial intelligence on US medical students' choice of radiologyKristenReeder, HwanLee2022 | Clinical Imaging, Vol. 81A Basic Primer of Artificial Intelligence for RadiologistsEthanStahl, Steven L.Blumer2022 | Contemporary Diagnostic Radiology, Vol. 45, No. 1High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep LearningAlexander L. Klibanov, 23 March 2021 | Radiology, Vol. 299, No. 2Smart Innovation, Systems and TechnologiesMariumMalik, Muhammad ImranTariq, MairaKamran, Muhammad RazaNaqvi2021 | , Vol. 226Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosisRobert J.O'Shea, Amy RoseSharkey, Gary J. R.Cook, VickyGoh2021 | European Radiology, Vol. 31, No. 10Artificial Intelligence in MedicineDanielRanti, Aly Al-AmynValliani, AnthonyCosta, Eric KarlOermann2021Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and RecommendationsDavid B.Larson, HughHarvey, Daniel L.Rubin, NevilleIrani, Justin R.Tse, Curtis P.Langlotz2021 | Journal of the American College of Radiology, Vol. 18, No. 3Applications of artificial intelligence in cardiovascular imagingMaximeSermesant, HervéDelingette, HubertCochet, PierreJaïs, NicholasAyache2021 | Nature Reviews Cardiology, Vol. 18, No. 8Healthcare Digitalisation and the Changing Nature of Work and SocietyHenrik SkaugSætra, EduardFosch-Villaronga2021 | Healthcare, Vol. 9, No. 8Review of deep learning algorithms for the automatic detection of intracranial hemorrhages on computed tomography head imagingMelissaYeo, BahmanTahayori, Hong KuanKok, JulianMaingard, NumanKutaiba, JeremyRussell, VincentThijs, AshuJhamb, Ronil VChandra, MarkBrooks, Christen D.Barras, HamedAsadi2021 | Journal of NeuroInterventional Surgery, Vol. 13, No. 4Artificial intelligence in clinical decision support and outcome prediction – applications in strokeMelissaYeo, Hong KuanKok, NumanKutaiba, JulianMaingard, VincentThijs, BahmanTahayori, JeremyRussell, AshuJhamb, Ronil V.Chandra, MarkBrooks, Christen D.Barras, HamedAsadi2021 | Journal of Medical Imaging and Radiation Oncology, Vol. 65, No. 5Artificial Intelligence and Machine Learning in RadiologyJulian L.Wichmann, Martin J.Willemink, Carlo N.De Cecco29 July 2020 | Investigative Radiology, Vol. 55, No. 9Promises of artificial intelligence in neuroradiology: a systematic technographic reviewAllard W.Olthof, Peter M.A.van Ooijen, Mohammad H.Rezazade Mehrizi2020 | Neuroradiology, Vol. 62, No. 10Artificial intelligence: The dawn of a new era for cutting-edge technology based diagnosis and treatment for strokeYangMa, PingZhang, YingxinTang, ChaoPan, GaigaiLi, NaLiu, YangHu, ZhoupingTang2020 | Brain Hemorrhages, Vol. 1, No. 1Spiral drawing: Quantitative analysis and artificial-intelligence-based diagnosis using a smartphoneNobuyukiIshii, YukiMochizuki, KazutakaShiomi, MasamitsuNakazato, HitoshiMochizuki2020 | Journal of the Neurological Sciences, Vol. 411Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive poolingJou-KouWang, Yun-FanChang, Kun-HsiTsai, Wei-ChienWang, Chang-YenTsai, Chui-HsuanCheng, YuTsao2020 | Scientific Reports, Vol. 10, No. 1Artificial Intelligence in Medicine: Chances and Challenges for Wide Clinical AdoptionJulianVarghese2020 | Visceral Medicine, Vol. 36, No. 6Artificial intelligence in diagnostic imaging: impact on the radiography professionMaryannHardy, HughHarvey2020 | The British Journal of Radiology, Vol. 93, No. 1108How to achieve trustworthy artificial intelligence for healthKristineBærøe, AinarMiyata-Sturm, EdmundHenden2020 | Bulletin of the World Health Organization, Vol. 98, No. 4Artificial intelligence in medicine: What is it doing for us today?AlizaBecker2019 | Health Policy and Technology, Vol. 8, No. 2AI in MRI: A case for grassroots deep learningKurt G.Schilling, Bennett A.Landman2019 | Magnetic Resonance Imaging, Vol. 64Artificial Intelligence: Lessons Learned from RadiologyElizabeth A.Krupinski2019 | Healthcare TransformationArtificial intelligence in radiology: friend or foe? Where are we now and where are we heading?EmrePakdemirli2019 | Acta Radiologica Open, Vol. 8, No. 2Artificial Intelligence in Breast Imaging: Potentials and LimitationsEllen B.Mendelson2019 | American Journal of Roentgenology, Vol. 212, No. 2Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient CareCharlene JYLiew, PavitraKrishnaswamy, Lionel TECheng, Cher HengTan, Angeline CCPoh, Tchoyoson CCLim2019 | Annals of the Academy of Medicine, Singapore, Vol. 48, No. 1Regulatory Approval versus Clinical Validation of Artificial Intelligence Diagnostic ToolsSeong Ho Park, 24 July 2018 | Radiology, Vol. 288, No. 3Artificial intelligence and medical imaging 2018: French Radiology Community white paper2018 | Diagnostic and Interventional Imaging, Vol. 99, No. 11Principles for evaluating the clinical implementation of novel digital healthcare devicesSeong HoPark, Kyung-HyunDo, Joon-IlChoi, Jung SukSim, Dal MoYang, HongEo, HyunsikWoo, Jeong MinLee, Seung EunJung, Joo HyeongOh2018 | Journal of the Korean Medical Association, Vol. 61, No. 12Recommended Articles High-Performance Automated Anterior Circulation CT Angiographic Clot Detection in Acute Stroke: A Multireader ComparisonRadiology2021Volume: 298Issue: 3pp. 665-670Automated Calculation of the Alberta Stroke Program Early CT Score: Feasibility and ReliabilityRadiology2019Volume: 291Issue: 1pp. 141-148CT Hyperdense Artery Sign and the Effect of Alteplase in Endovascular Thrombectomy after Acute StrokeRadiology2022Volume: 305Issue: 2pp. 410-418Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep LearningRadiology: Artificial Intelligence2020Volume: 2Issue: 5CT for Treatment Selection in Acute Ischemic Stroke: A Code Stroke PrimerRadioGraphics2019Volume: 39Issue: 6pp. 1717-1738See More RSNA Education Exhibits A Comprehensive Review Of Vertebral Artery Dissection ImagingDigital Posters20212022: a Stroke Flowchart Odyssey in the Emergency RoomDigital Posters2022MRI Evaluation Of Thrombectomy Candidates In Acute Ischemic Stroke (AIS): Is It Time For A Change?Digital Posters2021 RSNA Case Collection Pulmonary Arteriovenous MalformationRSNA Case Collection2021AIDS-associated Kaposi sarcomaRSNA Case Collection2020Iatrogenic Middle Cerebral Artery PseudoaneurysmRSNA Case Collection2021 Vol. 287, No. 2 Metrics Altmetric Score PDF download