https://m2.mtmt.hu/ hun 2026-05-02 13:03 JournalArticle 35172465 VALIDATED true 0 false 2026-03-23T12:53:56.925+0000 2024-11-21T18:26:04.170+0000 2024-08-16T07:25:55.751+0000 true 10080205 Szalóky-Siki Ágnes /api/admin/10080205 Admin true 2026-02-04T14:04:07.239+0000 2024-11-21T18:26:04.378+0000 true 10039043 Milánkovics Róbert /api/admin/10039043 Admin true 10039043 Admin 10014568 /api/admin/10014568 Vándor Andrea true 10014568 true 2025-05-07T09:27:35.729+0000 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 1134514 Survey paper true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/1134514 Összefoglaló cikk SubType 102 true 1134514 true 1 /api/category/1 Category true 1 Murmu, Ankita Artificial intelligence methods available for cancer research true true /api/journal/10036023 REVIEWED true false 10036023 false 10036023 true 2095-0217 2095-0225 Journal FOREIGN 18 5 778 797 778 20 2024 Cancer is a heterogeneous and multifaceted disease with a significant global footprint. Despite substantial technological advancements for battling cancer, early diagnosis and selection of effective treatment remains a challenge. With the convenience of large-scale datasets including multiple levels of data, new bioinformatic tools are needed to transform this wealth of information into clinically useful decision-support tools. In this field, artificial intelligence (AI) technologies with their highly diverse applications are rapidly gaining ground. Machine learning methods, such as Bayesian networks, support vector machines, decision trees, random forests, gradient boosting, and K-nearest neighbors, including neural network models like deep learning, have proven valuable in predictive, prognostic, and diagnostic studies. Researchers have recently employed large language models to tackle new dimensions of problems. However, leveraging the opportunity to utilize AI in clinical settings will require surpassing significant obstacles-a major issue is the lack of use of the available reporting guidelines obstructing the reproducibility of published studies. In this review, we discuss the applications of AI methods and explore their benefits and limitations. We summarize the available guidelines for AI in healthcare and highlight the potential role and impact of AI models on future directions in cancer research. 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Bioinformatika Tanszék (SE / AOK / I); Molekuláris Élettudományi Intézet (HRN TTK) 2 26 3 2 0 true 10014568 Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 118611700 /api/authorship/118611700 1 0.5 true false false Author 10087517 /api/author/10087517 Murmu Ankita true true Murmu Ankita true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 118611701 /api/authorship/118611701 2 0.5 false true true Author 10000109 /api/author/10000109 Győrffy Balázs true 10000109 true Gyorffy Balazs true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 26934190 /api/publicationidentifier/26934190 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1007/s11684-024-1085-3 https://doi.org/10.1007/s11684-024-1085-3 false true PublicationIdentifier 26934191 /api/publicationidentifier/26934191 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001287398700001 https://www.webofscience.com/wos/woscc/full-record/001287398700001 false true PublicationIdentifier 26956901 /api/publicationidentifier/26956901 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85201306955 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85201306955 false true PublicationIdentifier 26934192 /api/publicationidentifier/26934192 PlainSource 17 /api/publicationsource/17 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true PubMed PubMed http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract true true 17 true IDENTICAL 39115792 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=39115792&dopt=Abstract false true Keyword 2175 /api/keyword/2175 true 2175 true Keyword 2910 /api/keyword/2910 true 2910 true Keyword 12390 /api/keyword/12390 true 12390 true Keyword 17193 /api/keyword/17193 true 17193 true Keyword 17481 /api/keyword/17481 true 17481 true Keyword 1001739 /api/keyword/1001739 true 1001739 true Keyword 1040990 /api/keyword/1040990 true 1040990 true Keyword 1053528 /api/keyword/1053528 true 1053528 true Keyword 1062432 /api/keyword/1062432 true 1062432 true Keyword 1127756 /api/keyword/1127756 true 1127756 true Keyword 1179663 /api/keyword/1179663 true 1179663 true Keyword 1282277 /api/keyword/1282277 true 1282277 true Keyword 1427322 /api/keyword/1427322 true 1427322 true Keyword 1659431 /api/keyword/1659431 true true Keyword 1922862 /api/keyword/1922862 true true Keyword 2516108 /api/keyword/2516108 true true SjrRating 11482886 /api/sjrrating/11482886 348 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2701 /api/classificationexternal/2701 true 2701 true Q1 DIRECT true true /api/publication/35172465 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10087517"><a href="/gui2/?type=authors&mode=browse&sel=10087517" target="_blank">Murmu Ankita (<span class="authorship-author-name">Murmu Ankita</span> <span class="authorAux-mtmt"> Bioinformatics, Oncology</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Bioinformatika Tanszék; <span title="HUN-REN Természettudományi Kutatóközpont">HRN TTK</span>/Molekuláris Élettudományi Intézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10000109"><a href="/gui2/?type=authors&mode=browse&sel=10000109" target="_blank">Gyorffy Balazs ✉ (<span class="authorship-author-name">Győrffy Balázs</span> <span class="authorAux-mtmt"> Onkológia</span>) </a> </span> <span class="author-affil"><span title="Pécsi Tudományegyetem">PTE</span>/<span title="Általános Orvostudományi Kar">ÁOK</span>/Biofizikai Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/Bioinformatika Tanszék; <span title="HUN-REN Természettudományi Kutatóközpont">HRN TTK</span>/Molekuláris Élettudományi Intézet</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35172465" target="_blank">Artificial intelligence methods available for cancer research</a></div> <div> <span class="journal-title">FRONTIERS OF MEDICINE</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/2095-0217">2095-0217</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2095-0225">2095-0225</a>)</span>: <span class="journal-volume">18</span> <span class="journal-issue">5</span> <span class="page"> pp 778-797 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1007/s11684-024-1085-3" target="_blank" href="https://doi.org/10.1007/s11684-024-1085-3"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001287398700001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001287398700001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85201306955" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85201306955"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="39115792" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=39115792&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Medicine (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 7</span> | Független: 6 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 6 | Scopus jelölt:&nbsp;4 | WoS/Scopus jelölt:&nbsp;7 | DOI jelölt:&nbsp;7 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35172465&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 6 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35172465</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Összefoglaló cikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">WOS TAGGED</span> </div> <div class="funder"> Nemzeti Gyógyszerkutatási és Fejlesztési Laboratórium (PharmaLab)(RRF-2.3.1-21-2022-00015) Támogató: NKFIH, (TKP2021-NVA-15) </div> <div class="lastModified">Utolsó módosítás: 2024.11.21. 19:26 Milánkovics Róbert (PTE ÁOK admin 4) </div> <div class="lockedBy">Központi kezelésű 2025.05.07. 11:27 Vándor Andrea (VA, admin) </div> </div></div>