Hakutulokset - "artificial Intelligence"

Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography Tekijä Wei Yuan, Jiayi Rao, Yanbin Liu, Sen Li, Lizheng Qin, Xin Huang

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Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study Tekijä Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef

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COVID-19 prevention education using interactive comic and animated videos on the health literacy of school-aged children: Implications for healthcare policy and management Tekijä Ina Laela Abdillah, Fitri Haryanti, Lely Lusmilasari

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Increasing the demand for vaccination through mHealth in Quetta City, Balochistan in Pakistan Tekijä Ejaz A Khan, Muhammad I Panezai, Babar Shahid, Asm Shahabuddin, Subhana Akber

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The Modified Heidelberg and the AI Appendicitis Score Are Superior to Current Scores in Predicting Appendicitis in Children: A Two-Center Cohort Study Tekijä Carolin Stiel, Julia Elrod, Michaela Klinke, Jochen Herrmann, Carl-Martin Junge, Tarik Ghadban, Konrad Reinshagen, Michael Boettcher

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Diabetic Kidney Disease: Challenges, Advances, and Opportunities Tekijä Ya Chen, Kyung Lee, Zhaohui Ni, John Cijiang He

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Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usabilit... Tekijä Jeremy Costello, Manpreet Kaur, Marek Z Reformat, Francois V Bolduc

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Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study Tekijä Bang, Chang Seok, Lim, Hyun, Jeong, Hae Min, Hwang, Sung Hyeon

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Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign Tekijä Gabriel Maicas, Mathew Leonardi, Jodie Avery, Catrina Panuccio, Gustavo Carneiro, M Louise Hull, George Condous

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Accurate determination of epitope for antibodies with unknown 3D structures Tekijä Shifa Tahir, Thomas Bourquard, Astrid Musnier, Yann Jullian, Yannick Corde, Zakaria Omahdi, Laetitia Mathias, Eric Reiter, Pascale Crépieux, Gilles Bruneau, Anne Poupon

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Overview of drugs approved by the FDA in 2022 Tekijä D. V. Kurkin, E. I. Morkovin, D. A. Bakulin, Yu. V. Gorbunova, Yu. A. Kolosov, M. A. Dzhavakhyan, I. E. Makarenko, R. V. Drai, A. V. Zaborovsky, O. V. Shatalova, A. V. Strygin, V. I. Petrov, A. P. Pleten, A. A. Prokopov, T. Yu. Tatarenko-Kozmina

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Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review Tekijä Alban Lejeune, Benoit-Marie Robaglia, Michel Walter, Sofian Berrouiguet, Christophe Lemey

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Comparison of Metabolic Control in Children and Adolescents Treated with Insulin Pumps Tekijä Agnieszka Lejk, Karolina Myśliwiec, Arkadiusz Michalak, Barbara Pernak, Wojciech Fendler, Małgorzata Myśliwiec

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Pharmacovigilance strategy: opportunities for cross-national learning Tekijä Irene Fermont

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The Pan-African Surgical Healthcare Forum: An African qualitative consensus propagating continental national surgical healthcare policies and plans. Tekijä Barnabas Tobi Alayande, Justina O Seyi-Olajide, Betel Amdeslassie Fenta, Faustin Ntirenganya, Nkeiruka Obi, Robert Riviello, Sabin Nsanzimana, Emmanuel M Makasa, Emmanuel A Ameh, Abebe Bekele, Pan-African Surgical Healthcare Forum collaborators

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The Future of Cervical Cancer Screening Tekijä Goldstein A, Gersh M, Skovronsky G, Moss C

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Forensic age estimation in living children: how accurate is the Greulich-Pyle method in Sabah, East Malaysia? Tekijä Khin Mya Nang, Abdul Jabbar Ismail, Anithaa Tangaperumal, Aye Aye Wynn, Tin Tin Thein, Firdaus Hayati, Yong Guang Teh

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Application of machine learning techniques in the diagnosis of endometriosis Tekijä Ningning Zhao, Ting Hao, Fengge Zhang, Qin Ni, Dan Zhu, Yanan Wang, Yali Shi, Xin Mi

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Comparing deep learning and immunohistochemistry in determining the site of origin for well-differentiated neuroendocrine tumors Tekijä Jordan Redemann, Fred A Schultz, Cathy Martinez, Michael Harrell, Douglas P Clark, David R Martin, Joshua A Hanson

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Reviewing the progress of infectious disease early warning systems and planning for the future Tekijä Ziqi Li, Fancun Meng, Bing Wu, Dekun Kong, Mengying Geng, Xintong Qiu, Zicheng Cao, Tiancheng Li, Yaqian Su, Suyang Liu

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