MARC details
| 000 -LEADER |
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| fixed length control field |
02958nam a22003857a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220511s20222022 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
2072-6694 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.3390/cancers14051349 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
cancers14051349 [pii] |
| 024 ## - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
PMC8909088 [pmc] |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
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| PMID |
35267657 |
| 245 ## - TITLE STATEMENT |
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| Title |
Advancements in Oncology with Artificial Intelligence-A Review Article. [Review] |
| 251 ## - Source |
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| Source |
Cancers. 14(5), 2022 Mar 06. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
Cancers (Basel). 14(5), 2022 Mar 06. |
| 253 ## - Journal Name |
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| Journal name |
Cancers |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Manufacturer |
FY2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Publication date |
2022 Mar 06 |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
|---|
| Publication status |
epublish |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2022-05-11 |
| 520 ## - SUMMARY, ETC. |
|---|
| 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. |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
IN PROCESS -- NOT YET INDEXED |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Washington Hospital Center |
| 656 ## - INDEX TERM--OCCUPATION |
|---|
| Department |
Internal Medicine Residency |
| 657 ## - INDEX TERM--FUNCTION |
|---|
| Medline publication type |
Journal Article |
| 657 ## - INDEX TERM--FUNCTION |
|---|
| Medline publication type |
Review |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Gandhi, Kejal |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Local Authors |
Vobugari, Nikitha |
| 790 ## - Authors |
|---|
| All authors |
Gandhi K, Raja K, Raja V, Sethi U, Surani SR, Vobugari N |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| DOI |
<a href="https://dx.doi.org/10.3390/cancers14051349">https://dx.doi.org/10.3390/cancers14051349</a> |
| Public note |
https://dx.doi.org/10.3390/cancers14051349 |
| 858 ## - ORCID |
|---|
| ORCID text |
Vobugari, Nikitha |
| Orcid |
<a href="https://orcid.org/0000-0001-7622-0219">https://orcid.org/0000-0001-7622-0219</a> |
| Name |
https://orcid.org/0000-0001-7622-0219 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Journal Article |
| Item type description |
Article |
