Page 17 - AIH-1-4
P. 17
Artificial Intelligence in Health Radiomics in early-stage lung cancer
doi: 10.1016/j.ctro.2021.03.002 tomography scans: Correlation of radiomics-based
39. Rao SX, Lambregts DM, Schnerr RS, et al. CT texture analysis features with radiation therapy dose and radiation
in colorectal liver metastases: A better way than size and pneumonitis development. Int J Radiat Oncol Biol Phys.
volume measurements to assess response to chemotherapy? 2015;91(5):1048-1056.
United European Gastroenterol J. 2016;4(2):257-263. doi: 10.1016/j.ijrobp.2014.11.030
doi: 10.1177/2050640615601603 42. Keskinbora KH. Medical ethics considerations on artificial
40. Goh V, Ganeshan B, Nathan P, Juttla JK, Vinayan A, intelligence. J Clin Neurosci. 2019;64:277-282.
Miles KA. Assessment of response to tyrosine kinase doi: 10.1016/j.jocn.2019.03.001
inhibitors in metastatic renal cell cancer: CT texture as a
predictive biomarker. Radiology. 2011;261(1):165-171. 43. IEEE Global Initiative. A Vision for Prioritizing Human Well-
being with Artificial Intelligence and Autonomous Systems.
doi: 10.1148/radiol.11110264 In: The IEEE Global Initiative for Ethical Considerations in
41. Cunliffe A, Armato SG 3 , Castillo R, Pham N, Guerrero T, Artificial Intelligence and Autonomous Systems IEEE Glob
rd
Al-Hallaq HA. Lung texture in serial thoracic computed Initiat Ethical Considerations. Vol. 13. 2016.
Volume 1 Issue 4 (2024) 11 doi: 10.36922/aih.3541

