Artículos de revistas sobre el tema "AI Observer"
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Straeubig, Michael. "Games, AI and Systems". Eludamos: Journal for Computer Game Culture 10, n.º 1 (21 de abril de 2020): 141–60. http://dx.doi.org/10.7557/23.6176.
Texto completoSalinel, Brandon, Matthew Grudza, Sarah Zeien, Matthew Murphy, Jake Adkins, Corey Jensen, Curt Bay et al. "Comparison of segmentation methods to improve throughput in annotating AI-observer for detecting colorectal cancer." Journal of Clinical Oncology 40, n.º 4_suppl (1 de febrero de 2022): 142. http://dx.doi.org/10.1200/jco.2022.40.4_suppl.142.
Texto completoSmith, Andrew Dennis, Brian C. Allen, Asser Abou Elkassem, Rafah Mresh, Seth T. Lirette, Yujan Shrestha, J. David Giese et al. "Multi-institutional comparative effectiveness of advanced cancer longitudinal imaging response evaluation methods: Current practice versus artificial intelligence-assisted." Journal of Clinical Oncology 38, n.º 15_suppl (20 de mayo de 2020): 2010. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2010.
Texto completoGürsoy Çoruh, Ayşegül, Bülent Yenigün, Çağlar Uzun, Yusuf Kahya, Emre Utkan Büyükceran, Atilla Elhan, Kaan Orhan y Ayten Kayı Cangır. "A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification". British Journal of Radiology 94, n.º 1123 (1 de julio de 2021): 20210222. http://dx.doi.org/10.1259/bjr.20210222.
Texto completoM. Lazim, Izzuddin, Abdul Rashid Husain, Nurul Adilla Mohd Subha y Mohd Ariffanan Mohd Basri. "Intelligent Observer-Based Feedback Linearization for Autonomous Quadrotor Control". International Journal of Engineering & Technology 7, n.º 4.35 (30 de noviembre de 2018): 904. http://dx.doi.org/10.14419/ijet.v7i4.35.26280.
Texto completoSalinel, Brandon, Matthew Grudza, Sarah Zeien, Matthew Murphy, Jake Adkins, Corey Jensen, Curt Bay et al. "Ensemble voting decreases false positives in AI second-observer reads for detecting colorectal cancer." Journal of Clinical Oncology 40, n.º 4_suppl (1 de febrero de 2022): 141. http://dx.doi.org/10.1200/jco.2022.40.4_suppl.141.
Texto completoPalm, Christiane, Catherine E. Connolly, Regina Masser, Barbara Padberg Sgier, Eva Karamitopoulou, Quentin Simon, Beata Bode y Marianne Tinguely. "Determining HER2 Status by Artificial Intelligence: An Investigation of Primary, Metastatic, and HER2 Low Breast Tumors". Diagnostics 13, n.º 1 (3 de enero de 2023): 168. http://dx.doi.org/10.3390/diagnostics13010168.
Texto completoAjmera, Pranav, Amit Kharat, Tanveer Gupte, Richa Pant, Viraj Kulkarni, Vinay Duddalwar y Purnachandra Lamghare. "Observer performance evaluation of the feasibility of a deep learning model to detect cardiomegaly on chest radiographs". Acta Radiologica Open 11, n.º 7 (julio de 2022): 205846012211073. http://dx.doi.org/10.1177/20584601221107345.
Texto completoAl-Hammadi, Noora, Palmira Caparrotti, Saju Divakar, Mohamed Riyas, Suparna Halsnad Chandramouli, Rabih Hammoud, Jillian Hayes, Maeve Mc Garry, Satheesh Prasad Paloor y Primoz Petric. "MRI reduces variation of contouring for boost clinical target volume in breast cancer patients without surgical clips in the tumour bed". Radiology and Oncology 51, n.º 2 (24 de mayo de 2017): 160–68. http://dx.doi.org/10.1515/raon-2017-0014.
Texto completoHameed, B. M. Zeeshan, Milap Shah, Nithesh Naik, Sufyan Ibrahim, Bhaskar Somani, Patrick Rice, Naeem Soomro y Bhavan Prasad Rai. "Contemporary application of artificial intelligence in prostate cancer: an i-TRUE study". Therapeutic Advances in Urology 13 (enero de 2021): 175628722098664. http://dx.doi.org/10.1177/1756287220986640.
Texto completoKim, J. W., J. Marsilla, J. Weiss, D. Tkachuk, J. K. Jacinto, J. Cho, E. Hahn, S. Bratman, B. Haibe-Kains y A. Hope. "OC-0518 Impact of observer knowledge on AI delineation assessments: Bias in clinical acceptability testing". Radiotherapy and Oncology 161 (agosto de 2021): S402—S403. http://dx.doi.org/10.1016/s0167-8140(21)06944-9.
Texto completoLi, Dana, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, Lea Tøttrup, Marco Fraccaro, Desmond Elliott, Hubert Dariusz Zając, Sune Darkner, Jonathan Frederik Carlsen y Michael Bachmann Nielsen. "The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review". Diagnostics 11, n.º 12 (26 de noviembre de 2021): 2206. http://dx.doi.org/10.3390/diagnostics11122206.
Texto completoSorrenti, Salvatore, Vincenzo Dolcetti, Maija Radzina, Maria Irene Bellini, Fabrizio Frezza, Khushboo Munir, Giorgio Grani et al. "Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?" Cancers 14, n.º 14 (10 de julio de 2022): 3357. http://dx.doi.org/10.3390/cancers14143357.
Texto completoSun, Di, Lubomir Hadjiiski, Ajjai Alva, Yousef Zakharia, Monika Joshi, Heang-Ping Chan, Rohan Garje et al. "Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study". Tomography 8, n.º 2 (2 de marzo de 2022): 644–56. http://dx.doi.org/10.3390/tomography8020054.
Texto completoGungor, G., G. Klausner, G. Gur, I. Serbez, B. Temur, A. Caffaro, L. Hardy et al. "PO-1890 AI-based OAR delineation in brain T1w-MRI: Overcoming Inter- and Intra-observer variability". Radiotherapy and Oncology 170 (mayo de 2022): S1674—S1675. http://dx.doi.org/10.1016/s0167-8140(22)03853-1.
Texto completoKim, Sang Hoon y Yun Jeong Lim. "Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges". Diagnostics 11, n.º 9 (20 de septiembre de 2021): 1722. http://dx.doi.org/10.3390/diagnostics11091722.
Texto completoKulkarni, Anagha, Siddharth Srivastava y Subbarao Kambhampati. "A Unified Framework for Planning in Adversarial and Cooperative Environments". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 2479–87. http://dx.doi.org/10.1609/aaai.v33i01.33012479.
Texto completoSchwabe, Maria, John C. Clohisy, Cecilia Pascual-Garrido, Elizabeth Graesser y Jeffrey J. Nepple. "SHOULD WE FEAR THE BORDERLINE DYSPLASTIC HIP?: EXTERNAL VALIDATION OF THE FEAR INDEX IN THE SETTING OF BORDERLINE ACETABULAR DYSPLASIA". Orthopaedic Journal of Sports Medicine 8, n.º 4_suppl3 (1 de abril de 2020): 2325967120S0021. http://dx.doi.org/10.1177/2325967120s00212.
Texto completoSpicer, Catherine, Prashanna Khwaounjoo y Yusuf Ozgur Cakmak. "Human and Human-Interfaced AI Interactions: Modulation of Human Male Autonomic Nervous System via Pupil Mimicry". Sensors 21, n.º 4 (3 de febrero de 2021): 1028. http://dx.doi.org/10.3390/s21041028.
Texto completoEgevad, Lars, Daniela Swanberg, Brett Delahunt, Peter Ström, Kimmo Kartasalo, Henrik Olsson, Dan M. Berney et al. "Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading". Virchows Archiv 477, n.º 6 (15 de junio de 2020): 777–86. http://dx.doi.org/10.1007/s00428-020-02858-w.
Texto completoDe Oliveira, João Gabriel Lopes, Editorial office Pedro Moreira Menezes Da Costa y Flavio De Mello. "Knowledge Geometry in Phenomenon Perception and Artificial Intelligence". JUCS - Journal of Universal Computer Science 26, n.º 5 (28 de mayo de 2020): 604–23. http://dx.doi.org/10.3897/jucs.2020.032.
Texto completoXi, Shibo, Lucas Santiago Borgna, Lirong Zheng, Yonghua Du y Tiandou Hu. "AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm". Journal of Synchrotron Radiation 24, n.º 1 (1 de enero de 2017): 367–73. http://dx.doi.org/10.1107/s1600577516018117.
Texto completoPeyrin-Biroulet, L., S. Adsul, J. Dehmeshki y O. Kubassova. "DOP58 An artificial intelligence–driven scoring system to measure histological disease activity in Ulcerative Colitis". Journal of Crohn's and Colitis 16, Supplement_1 (1 de enero de 2022): i105. http://dx.doi.org/10.1093/ecco-jcc/jjab232.097.
Texto completoKim, Hyojin, Sangjoon Choi, Seokhwi Kim, Jaehong Aum, Sergio Pereira, Seonwook Park, Minuk Ma et al. "Clinical performance of artificial intelligence-powered annotation of tumor cell PD-L1 expression for treatment of immune-checkpoint inhibitor (ICI) in advanced non-small cell lung cancer (NSCLC)." Journal of Clinical Oncology 39, n.º 15_suppl (20 de mayo de 2021): 9026. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.9026.
Texto completoPeyrin-Biroulet, L., D. Rubin, C. Weber, S. Adsul, M. Freire, L. Biedermann, V. Koelzer et al. "P777 Deployment of an artificial intelligence tool for precision medicine in ulcerative colitis: Preliminary data from 8 globally distributed clinical sites". Journal of Crohn's and Colitis 17, Supplement_1 (30 de enero de 2023): i910—i911. http://dx.doi.org/10.1093/ecco-jcc/jjac190.0907.
Texto completoZhang, Zisang, Ye Zhu, Manwei Liu, Ziming Zhang, Yang Zhao, Xin Yang, Mingxing Xie y Li Zhang. "Artificial Intelligence-Enhanced Echocardiography for Systolic Function Assessment". Journal of Clinical Medicine 11, n.º 10 (20 de mayo de 2022): 2893. http://dx.doi.org/10.3390/jcm11102893.
Texto completoOdani, Erina, Tetsu Hayashida, masayuki kikuchi, Aiko Nagayama, tomoko seki, maiko takahashi, Akiko Matsumoto et al. "Abstract P1-05-06: Establishment of the breast ultrasound support system using deep-learning system". Cancer Research 83, n.º 5_Supplement (1 de marzo de 2023): P1–05–06—P1–05–06. http://dx.doi.org/10.1158/1538-7445.sabcs22-p1-05-06.
Texto completoMusulin, Jelena, Daniel Štifanić, Ana Zulijani, Tomislav Ćabov, Andrea Dekanić y Zlatan Car. "An Enhanced Histopathology Analysis: An AI-Based System for Multiclass Grading of Oral Squamous Cell Carcinoma and Segmenting of Epithelial and Stromal Tissue". Cancers 13, n.º 8 (8 de abril de 2021): 1784. http://dx.doi.org/10.3390/cancers13081784.
Texto completoCorradini, Daniele, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa y Daniel Remondini. "Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data". Cancers 13, n.º 16 (5 de agosto de 2021): 3944. http://dx.doi.org/10.3390/cancers13163944.
Texto completoSperl, André, Raban Arved Heller, Bahram Biglari, Patrick Haubruck, Julian Seelig, Lutz Schomburg, Tobias Bock y Arash Moghaddam. "The Role of Magnesium in the Secondary Phase After Traumatic Spinal Cord Injury. A Prospective Clinical Observer Study". Antioxidants 8, n.º 11 (24 de octubre de 2019): 509. http://dx.doi.org/10.3390/antiox8110509.
Texto completoMarkland, M. L., M. J. Goering, J. M. Mumm, C. K. Jones, A. R. Crane y L. E. Hulbert. "The development of a noninvasive behavioral test for assessment of goat–human interactions". Translational Animal Science 3, Supplement_1 (1 de diciembre de 2019): 1812. http://dx.doi.org/10.1093/tas/txz066.
Texto completoPark, Jeong Hwan, Kyu Sang Lee, Euno Choi, Wonkyung Jung, Jaehong Aum, Sergio Pereira, Seonwook Park et al. "Pathologic validation of artificial intelligence-powered prediction of combined positive score of PD-L1 immunohistochemistry in urothelial carcinoma." Journal of Clinical Oncology 39, n.º 15_suppl (20 de mayo de 2021): e16518-e16518. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e16518.
Texto completoGenç, A. C., F. Turkoglu Genc, A. B. Kara, L. Genc Kaya, Z. Ozturk, D. Karatas, Y. Gunduz y E. Gönüllü. "AB1161 ARTIFICIAL INTELLIGENCE FOR RHEUMATOLOGY". Annals of the Rheumatic Diseases 79, Suppl 1 (junio de 2020): 1871–72. http://dx.doi.org/10.1136/annrheumdis-2020-eular.5318.
Texto completoAlarcón-Soldevilla, Fernando, Francisco José Hernández-Gómez, Juan Antonio García-Carmona, Celia Campoy Carreño, Ramon Grimalt, Sergio Vañó-Galvan, José Pardo Sánchez et al. "Use of Artificial Intelligence as a Predictor of the Response to Treatment in Alopecia Areata". Iproceedings 6, n.º 1 (10 de diciembre de 2021): e35433. http://dx.doi.org/10.2196/35433.
Texto completoSaboury, Babak, Lars Edenbrandt, Reza Piri, Oke Gerke, Tom Werner, Armin Arbab-Zadeh, Abass Alavi y Poul Flemming Høilund-Carlsen. "Alavi–Carlsen Calcification Score (ACCS): A Simple Measure of Global Cardiac Atherosclerosis Burden". Diagnostics 11, n.º 8 (5 de agosto de 2021): 1421. http://dx.doi.org/10.3390/diagnostics11081421.
Texto completoDe Filippis, Raffaele, Georg Wölflein, In Hwa Um, Peter D. Caie, Sarah Warren, Andrew White, Elizabeth Suen, Emily To, Ognjen Arandjelović y David J. Harrison. "Use of High-Plex Data Reveals Novel Insights into the Tumour Microenvironment of Clear Cell Renal Cell Carcinoma". Cancers 14, n.º 21 (1 de noviembre de 2022): 5387. http://dx.doi.org/10.3390/cancers14215387.
Texto completoYue, Dong, Cheng Fan Rong, Cai Ning, Hu Liang, Liu Ai Lian, Wang Ru Xin y Luo Ya Hong. "Reduction of metal artifacts from unilateral hip arthroplasty on dual-energy CT with metal artifact reduction software". Acta Radiologica 59, n.º 7 (12 de septiembre de 2017): 853–60. http://dx.doi.org/10.1177/0284185117731475.
Texto completoAmasya, Hakan, Derya Yildirim, Turgay Aydogan, Nazan Kemaloglu y Kaan Orhan. "Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models". Dentomaxillofacial Radiology 49, n.º 5 (julio de 2020): 20190441. http://dx.doi.org/10.1259/dmfr.20190441.
Texto completoJaremko, J. L., B. Felfeliyan, A. Rakkunedeth, B. Thejeel, V. Quinn-Laurin, M. Østergaard, P. G. Conaghan, R. Lambert, J. Ronsky y W. P. Maksymowych. "AB0594 IMPROVING OSTEOARTHRITIS CARE BY AUTOMATIC MEASUREMENT OF HIP EFFUSION USING AI". Annals of the Rheumatic Diseases 80, Suppl 1 (19 de mayo de 2021): 1334.1–1334. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2196.
Texto completoSyer, Tom, Pritesh Mehta, Michela Antonelli, Sue Mallett, David Atkinson, Sébastien Ourselin y Shonit Punwani. "Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on Magnetic Resonance Imaging: A Systematic Review and Recommendations for Future Studies". Cancers 13, n.º 13 (1 de julio de 2021): 3318. http://dx.doi.org/10.3390/cancers13133318.
Texto completoTosun, Akif Burak y S. Chakra Chennubhotla. "Abstract P6-04-12: Differential diagnoses of breast biopsies by spatial parametric modeling of histological structures and explainable AI". Cancer Research 83, n.º 5_Supplement (1 de marzo de 2023): P6–04–12—P6–04–12. http://dx.doi.org/10.1158/1538-7445.sabcs22-p6-04-12.
Texto completoAl Fryan, Latefa Hamad, Mahasin Ibrahim Shomo y Malik Bader Alazzam. "Application of Deep Learning System Technology in Identification of Women’s Breast Cancer". Medicina 59, n.º 3 (1 de marzo de 2023): 487. http://dx.doi.org/10.3390/medicina59030487.
Texto completoLuo, Junren, Xiang Ji, Wei Gao, Wanpeng Zhang y Shaofei Chen. "Goal Recognition Control under Network Interdiction Using a Privacy Information Metric". Symmetry 11, n.º 8 (17 de agosto de 2019): 1059. http://dx.doi.org/10.3390/sym11081059.
Texto completoLee, Si-Wook, Hee-Uk Ye, Kyung-Jae Lee, Woo-Young Jang, Jong-Ha Lee, Seok-Min Hwang y Yu-Ran Heo. "Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening". Diagnostics 11, n.º 7 (28 de junio de 2021): 1174. http://dx.doi.org/10.3390/diagnostics11071174.
Texto completoMarty, M., D. Gaye, P. Perez, C. Auder, M. L. Nunes, A. Ferriere, M. Haissaguerre y A. Tabarin. "Diagnostic accuracy of computed tomography to identify adenomas among adrenal incidentalomas in an endocrinological population". European Journal of Endocrinology 178, n.º 5 (mayo de 2018): 439–46. http://dx.doi.org/10.1530/eje-17-1056.
Texto completoYang, Xu, Hongyan Xing, Xinyuan Ji y Zenghui Wang. "Smart Localization of Thunderstorm Charge for Human 4IR Applications". Mobile Information Systems 2021 (16 de abril de 2021): 1–15. http://dx.doi.org/10.1155/2021/5548350.
Texto completoSolitano, Virginia, Ferdinando D’Amico, Mariangela Allocca, Gionata Fiorino, Alessandra Zilli, Laura Loy, Daniela Gilardi et al. "Rediscovering histology: what is new in endoscopy for inflammatory bowel disease?" Therapeutic Advances in Gastroenterology 14 (enero de 2021): 175628482110056. http://dx.doi.org/10.1177/17562848211005692.
Texto completoMurray, William. "Intelligent Tutoring Systems for Commercial Games: The Virtual Combat Training Center Tutor and Simulation". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 2, n.º 1 (29 de septiembre de 2021): 66–71. http://dx.doi.org/10.1609/aiide.v2i1.18748.
Texto completoRavnborgl, M., M. Grønbech-Jensen y A. Jønsson. "The MS impairment scale: a pragmatic approach to the assessment of impairment in patients with multiple sclerosis". Multiple Sclerosis Journal 3, n.º 1 (febrero de 1997): 31–41. http://dx.doi.org/10.1177/135245859700300104.
Texto completoIngargiola, Giorgio P. y Judith D. Wilson. "The introductory undergraduate AI course as observed on WWW". ACM SIGART Bulletin 6, n.º 3 (julio de 1995): 2–6. http://dx.doi.org/10.1145/208628.208629.
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