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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 125 1 Advancements in Oncology with Artificial Intelligence—A Review Article Nikitha Vobugari; Vikranth Raja; Udhav Sethi; Kejal Gandhi; Kishore Raja; Salim R. Surani In: Cancers; Volume 14; Issue 5; Pages: 1349 (2022) Abstract: Well-trained machine learning (ML) and artificial intelligence (AI) systems can provide clinicians with therapeutic assistance, potentially increasing efficiency and improving efficacy. ML has demonstrated high accuracy in oncology-related diagnostic imaging, including screening mammography interpretation, colon polyp detection, glioma classification, and grading. By utilizing ML techniques, the manual steps of detecting and segmenting lesions are greatly reduced. ML-based tumor imaging analysis is independent of the experience level of evaluating physicians, and the results are expected to be more standardized and accurate. One of the biggest challenges is its generalizability worldwide. The current detection and screening methods for colon polyps and breast cancer have a vast amount of data, so they are ideal areas for studying the global standardization of artificial intelligence. Central nervous system cancers are rare and have poor prognoses based on current management standards. ML offers the prospect of unraveling undiscovered features from routinely acquired neuroimaging for improving treatment planning, prognostication, monitoring, and response assessment of CNS tumors such as gliomas. By studying AI in such rare cancer types, standard management methods may be improved by augmenting personalized/precision medicine. This review aims to provide clinicians and medical researchers with a basic understanding of how ML works and its role in oncology, especially in breast cancer, colorectal cancer, and primary and metastatic brain cancer. Understanding AI basics, current achievements, and future challenges are crucial in advancing the use of AI in oncology. Keyword: artificial intelligence; brain tumors; breast oncology; colon cancer; convolutional neural networks; deep learning; machine learning; support vector machine URL: https://doi.org/10.3390/cancers14051349 BASE Hide details 2 Management and Outcome of Young Women (≤40 Years) with Breast Cancer in Switzerland Giacomo Montagna; Robin Schaffar; Andrea Bordoni; Alessandra Spitale; Daniela A. Terribile; Lorenzo Rossi; Yvan Bergeron; Bernadette W. A. van der Linden; Isabelle Konzelmann; Sabine Rohrmann; Katharina Staehelin; Manuela Maspoli-Conconi; Jean-Luc Bulliard; Francesco Meani; Olivia Pagani; Elisabetta Rapiti In: Cancers; Volume 14; Issue 5; Pages: 1328 (2022) BASE Show details 3 Communication score lexicon ... Baroutsou, Vasiliki. - : Zenodo, 2022 BASE Show details 4 Communication score lexicon ... Baroutsou, Vasiliki. - : Zenodo, 2022 BASE Show details 5 Metaphors of cancer in the Arabic language: An analysis of the use of metaphors in the online narratives of breast cancer patients Abaalalaa Hessah Shajaan; Ibrahim Wesam M. A. In: Open Linguistics, Vol 8, Iss 1, Pp 27-45 (2022) (2022) BASE Show details 6 Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ... Guacho, Carlos Vinicio Chiluisa; Nairovys Gómez Martínez; Yaritnza Hernández Coromoto. - : Zenodo, 2021 BASE Show details 7 Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ... VinicioChiluisaGuacho, Carlos; Nairovys Gómez Martínez; Yaritnza Hernández Coromoto. - : Zenodo, 2021 BASE Show details 8 Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ... Guacho, Carlos Vinicio Chiluisa; Nairovys Gómez Martínez; Yaritnza Hernández Coromoto. - : Zenodo, 2021 BASE Show details 9 Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ... VinicioChiluisaGuacho, Carlos; Nairovys Gómez Martínez; Yaritnza Hernández Coromoto. - : Zenodo, 2021 BASE Show details 10 Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound Yung-Hsien Hsieh; Fang-Rong Hsu; Seng-Tong Dai; Hsin-Ya Huang; Dar-Ren Chen; Wei-Chung Shia In: Diagnostics; Volume 12; Issue 1; Pages: 66 (2021) BASE Show details 11 Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results Roberto Lo Gullo; Hannah Wen; Jeffrey S. Reiner; Raza Hoda; Varadan Sevilimedu; Danny F. Martinez; Sunitha B. Thakur; Maxine S. Jochelson; Peter Gibbs; Katja Pinker In: Cancers; Volume 13; Issue 24; Pages: 6273 (2021) BASE Show details 12 Culture and breast cancer surgical decisions and experiences Pawasker, Rishaan S. (S34901); MacMillan, Freya (R17633); Ong, Andrew (R20297). - : U.S., Wiley-Blackwell Publishing, 2021 BASE Show details 13 Characterization of circulating breast cancer cells with tumorigenic and metastatic capacity Koch, Claudia; Kuske, Andra; Joosse, Simon A.... In: ISSN: 1757-4676 ; EISSN: 1757-4684 ; EMBO Molecular Medicine ; https://hal.archives-ouvertes.fr/hal-03602489 ; EMBO Molecular Medicine, Wiley Open Access, 2020, 12 (9), pp.e11908. ⟨10.15252/emmm.201911908⟩ (2020) BASE Show details 14 Breast cancer patients' language use across four stages ... Chen, Meng; Zhao, Liang. - : Dryad, 2020 BASE Show details 15 Pattern Recognition of Non-Mass Enhancements on Breast MRI – A Pictorial Review with Radiologic-Pathologic Correlation. ... Loi, Kai Seng. - : European Congress of Radiology, 2020 BASE Show details 16 Role of BD4BREAST in supporting the categorization of mammographic findings according to the BI-RADS mammographic lexicon ... Porrello, Giorgia. - : European Congress of Radiology, 2020 BASE Show details 17 Can MRI Biomarkers Predict Triple-Negative Breast Cancer? Giuliana Moffa; Francesca Galati; Emmanuel Collalunga; Veronica Rizzo; Endi Kripa; Giulia D’Amati; Federica Pediconi In: Diagnostics; Volume 10; Issue 12; Pages: 1090 (2020) BASE Show details 18 Exploring Intimacy in Collaborative Photographic Narratives of Breast Cancer Agnese Sile In: Humanities ; Volume 9 ; Issue 1 (2020) BASE Show details 19 Using artificial intelligence to analyse and teach communication in healthcare Butow, Phyllis; Hoque, Ehsan In: Breast (2020) BASE Show details 20 Genetic testing and eHealth usage among Deaf women. Kushalnagar, Poorna; Holcomb, Juliana; Sadler, Georgia R In: Journal of genetic counseling, vol 28, iss 5 (2019) BASE Show details Page: 1 2 3 4 5...7

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