Cover Image

MR-linac: role of artificial intelligence and automation

The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during the past 5 years, especially in terms of automating key processes like organ at risk delineation and treatment planning. These innovations have enhanced consistency, accuracy, and efficiency in clinic...

Full description

Saved in:
Bibliographic Details
Main Authors: Psoroulas, Serena (Author) , Paunoiu, Alina (Author) , Corradini, Stefanie (Author) , Hörner-Rieber, Juliane (Author) , Tanadini-Lang, Stephanie (Author)
Format: Article (Journal)
Language:English
Published: 22 January 2025
In: Strahlentherapie und Onkologie
Year: 2025, Volume: 201, Issue: 3, Pages: 298-305
ISSN:1439-099X
DOI:10.1007/s00066-024-02358-9
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00066-024-02358-9
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00066-024-02358-9
Get full text
Author Notes:Serena Psoroulas, Alina Paunoiu, Stefanie Corradini, Juliane Hörner-Rieber, Stephanie Tanadini-Lang

MARC

LEADER 00000caa a2200000 c 4500
001 193344620X
003 DE-627
005 20250913141853.0
007 cr uuu---uuuuu
008 250818s2025 xx |||||o 00| ||eng c
024 7 |a 10.1007/s00066-024-02358-9  |2 doi 
035 |a (DE-627)193344620X 
035 |a (DE-599)KXP193344620X 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Psoroulas, Serena  |e VerfasserIn  |0 (DE-588)1374167525  |0 (DE-627)1933446242  |4 aut 
245 1 0 |a MR-linac  |b role of artificial intelligence and automation  |c Serena Psoroulas, Alina Paunoiu, Stefanie Corradini, Juliane Hörner-Rieber, Stephanie Tanadini-Lang 
264 1 |c 22 January 2025 
300 |b Illustrationen 
300 |a 8 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 18.08.2025 
520 |a The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during the past 5 years, especially in terms of automating key processes like organ at risk delineation and treatment planning. These innovations have enhanced consistency, accuracy, and efficiency in clinical practice. Magnetic resonance (MR)-guided linear accelerators (MR-linacs) have greatly improved treatment accuracy and real-time plan adaptation, particularly for tumors near radiosensitive organs. Despite these improvements, MR-guided radiotherapy (MRgRT) remains labor intensive and time consuming, highlighting the need for AI to streamline workflows and support rapid decision-making. Synthetic CTs from MR images and automated contouring and treatment planning will reduce manual processes, thus optimizing treatment times and expanding access to MR-linac technology. AI-driven quality assurance will ensure patient safety by predicting machine errors and validating treatment delivery. Advances in intrafractional motion management will increase the accuracy of treatment, and the integration of imaging biomarkers for outcome prediction and early toxicity assessment will enable more precise and effective treatment strategies. 
650 4 |a Artificial intelligence 
650 4 |a Automation 
650 4 |a Imaging biomarkers 
650 4 |a Intrafractional motion management 
650 4 |a MR-guided radiation therapy 
700 1 |a Paunoiu, Alina  |e VerfasserIn  |4 aut 
700 1 |a Corradini, Stefanie  |e VerfasserIn  |4 aut 
700 1 |a Hörner-Rieber, Juliane  |d 1985-  |e VerfasserIn  |0 (DE-588)1025307631  |0 (DE-627)722020511  |0 (DE-576)370188039  |4 aut 
700 1 |8 1\p  |a Tanadini-Lang, Stephanie  |e VerfasserIn  |0 (DE-588)1162629924  |0 (DE-627)1026783496  |0 (DE-576)507530446  |4 aut 
773 0 8 |i Enthalten in  |t Strahlentherapie und Onkologie  |d Berlin : Springer Medizin, 1997  |g 201(2025), 3 vom: März, Seite 298-305  |h Online-Ressource  |w (DE-627)312407866  |w (DE-600)2003907-4  |w (DE-576)090884809  |x 1439-099X  |7 nnas  |a MR-linac role of artificial intelligence and automation 
773 1 8 |g volume:201  |g year:2025  |g number:3  |g month:03  |g pages:298-305  |g extent:8  |a MR-linac role of artificial intelligence and automation 
856 4 0 |u https://doi.org/10.1007/s00066-024-02358-9  |x Verlag  |x Resolving-System  |z kostenfrei  |3 Volltext 
856 4 0 |u https://link.springer.com/article/10.1007/s00066-024-02358-9  |x Verlag  |z kostenfrei  |3 Volltext 
883 |8 1\p  |a cgwrk  |d 20250901  |q DE-101  |u https://d-nb.info/provenance/plan#cgwrk 
951 |a AR 
992 |a 20250818 
993 |a Article 
994 |a 2025 
998 |g 1025307631  |a Hörner-Rieber, Juliane  |m 1025307631:Hörner-Rieber, Juliane  |d 50000  |e 50000PH1025307631  |k 0/50000/  |p 4 
999 |a KXP-PPN193344620X  |e 4758740232 
BIB |a Y 
SER |a journal 
JSO |a {"type":{"media":"Online-Ressource","bibl":"article-journal"},"note":["Gesehen am 18.08.2025"],"recId":"193344620X","person":[{"display":"Psoroulas, Serena","given":"Serena","roleDisplay":"VerfasserIn","role":"aut","family":"Psoroulas"},{"role":"aut","roleDisplay":"VerfasserIn","given":"Alina","display":"Paunoiu, Alina","family":"Paunoiu"},{"roleDisplay":"VerfasserIn","role":"aut","given":"Stefanie","display":"Corradini, Stefanie","family":"Corradini"},{"family":"Hörner-Rieber","display":"Hörner-Rieber, Juliane","given":"Juliane","roleDisplay":"VerfasserIn","role":"aut"},{"family":"Tanadini-Lang","given":"Stephanie","role":"aut","roleDisplay":"VerfasserIn","display":"Tanadini-Lang, Stephanie"}],"language":["eng"],"name":{"displayForm":["Serena Psoroulas, Alina Paunoiu, Stefanie Corradini, Juliane Hörner-Rieber, Stephanie Tanadini-Lang"]},"id":{"doi":["10.1007/s00066-024-02358-9"],"eki":["193344620X"]},"origin":[{"dateIssuedKey":"2025","dateIssuedDisp":"22 January 2025"}],"physDesc":[{"extent":"8 S.","noteIll":"Illustrationen"}],"relHost":[{"type":{"media":"Online-Ressource","bibl":"periodical"},"pubHistory":["Nachgewiesen 173.1997 -"],"note":["Gesehen am 13.05.09"],"recId":"312407866","part":{"volume":"201","issue":"3","text":"201(2025), 3 vom: März, Seite 298-305","year":"2025","extent":"8","pages":"298-305"},"id":{"issn":["1439-099X"],"eki":["312407866"],"zdb":["2003907-4"]},"language":["ger"],"disp":"MR-linac role of artificial intelligence and automationStrahlentherapie und Onkologie","physDesc":[{"extent":"Online-Ressource"}],"origin":[{"dateIssuedDisp":"1997-","publisher":"Springer Medizin ; Urban & Vogel","dateIssuedKey":"1997","publisherPlace":"Berlin ; Heidelberg ; [München]"}],"title":[{"title_sort":"Strahlentherapie und Onkologie","title":"Strahlentherapie und Onkologie","subtitle":"journal of radiation oncology, biology, physics"}]}],"title":[{"subtitle":"role of artificial intelligence and automation","title_sort":"MR-linac","title":"MR-linac"}]} 
SRT |a PSOROULASSMRLINAC2220 

Similar Items