Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program
Advances in cancer molecular profiling have enabled the development of more effective approaches to the diagnosis and personalized treatment of tumors. However, treatment planning has become more labor intensive, requiring hours or even days of clinician effort to optimize an individual patient case...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Critical Care Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2021/6649771 |
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| author | P. V. Shegai P. A. Shatalov A. A. Zabolotneva N. A. Falaleeva S. A. Ivanov A. D. Kaprin |
| author_facet | P. V. Shegai P. A. Shatalov A. A. Zabolotneva N. A. Falaleeva S. A. Ivanov A. D. Kaprin |
| author_sort | P. V. Shegai |
| collection | DOAJ |
| description | Advances in cancer molecular profiling have enabled the development of more effective approaches to the diagnosis and personalized treatment of tumors. However, treatment planning has become more labor intensive, requiring hours or even days of clinician effort to optimize an individual patient case in a trial-and-error manner. Lessons learned from the world cancer programs provide insights into ways to develop approaches for the treatment strategy definition which can be introduced into clinical practice. This article highlights the variety of breakthroughs in patients’ cancer treatment and some challenges that this field faces now in Russia. In this report, we consider the key characteristics for planning an optimal clinical treatment regimen and which should be included in the algorithm of clinical decision support systems. We discuss the perspectives of implementing artificial intelligence-based systems in cancer treatment planning in Russia. |
| format | Article |
| id | doaj-art-7a2afe5da92a462d989ca74ed91b53ea |
| institution | Kabale University |
| issn | 2090-1305 2090-1313 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Critical Care Research and Practice |
| spelling | doaj-art-7a2afe5da92a462d989ca74ed91b53ea2025-08-20T03:35:47ZengWileyCritical Care Research and Practice2090-13052090-13132021-01-01202110.1155/2021/66497716649771Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer ProgramP. V. Shegai0P. A. Shatalov1A. A. Zabolotneva2N. A. Falaleeva3S. A. Ivanov4A. D. Kaprin5Federal State Budgetary Institution National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Kaluga Region, Koroleva Str. 4., Obninsk 249036, RussiaFederal State Budgetary Institution National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Kaluga Region, Koroleva Str. 4., Obninsk 249036, RussiaPirogov Russian National Research Medical University, Ostrovitianov Str. 1, Moscow 117997, RussiaA. Tsyb Medical Radiological Research Center–Branch of the Federal State Budgetary Institution National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Zhukova Str. 10, Kaluga Region, Obninsk 249031, RussiaA. Tsyb Medical Radiological Research Center–Branch of the Federal State Budgetary Institution National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Zhukova Str. 10, Kaluga Region, Obninsk 249031, RussiaFederal State Budgetary Institution National Medical Research Radiological Center of the Ministry of Health of the Russian Federation, Kaluga Region, Koroleva Str. 4., Obninsk 249036, RussiaAdvances in cancer molecular profiling have enabled the development of more effective approaches to the diagnosis and personalized treatment of tumors. However, treatment planning has become more labor intensive, requiring hours or even days of clinician effort to optimize an individual patient case in a trial-and-error manner. Lessons learned from the world cancer programs provide insights into ways to develop approaches for the treatment strategy definition which can be introduced into clinical practice. This article highlights the variety of breakthroughs in patients’ cancer treatment and some challenges that this field faces now in Russia. In this report, we consider the key characteristics for planning an optimal clinical treatment regimen and which should be included in the algorithm of clinical decision support systems. We discuss the perspectives of implementing artificial intelligence-based systems in cancer treatment planning in Russia.http://dx.doi.org/10.1155/2021/6649771 |
| spellingShingle | P. V. Shegai P. A. Shatalov A. A. Zabolotneva N. A. Falaleeva S. A. Ivanov A. D. Kaprin Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program Critical Care Research and Practice |
| title | Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program |
| title_full | Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program |
| title_fullStr | Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program |
| title_full_unstemmed | Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program |
| title_short | Challenges Faced by Clinicians in the Personalized Treatment Planning: A Literature Review and the First Results of the Russian National Cancer Program |
| title_sort | challenges faced by clinicians in the personalized treatment planning a literature review and the first results of the russian national cancer program |
| url | http://dx.doi.org/10.1155/2021/6649771 |
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