Fostering Transformation: Unleashing the Power of Artifical Intelligence and Machine Learning in the Field of Radiation Oncology

Author:

Das Jahnabi,Nath JyotimanORCID,Bhattacharyya Mouchumee,Kalita Apurba Kumar

Publisher

Springer Science and Business Media LLC

Reference11 articles.

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3. Artificial intelligence A powerful paradigm for scientific research - ScienceDirect [Internet]. [cited 2024 Jan 1]. Available from: https://www.sciencedirect.com/science/article/pii/S2666675821001041

4. Tseng HH, Luo Y, Cui S, Chien JT, Ten Haken RK, Naqa IE (2017) Deep reinforcement learning for automated radiation adaptation in lung cancer. Med Phys 44(12):6690–6705

5. O’neill TJ, Xi Y, Stehel E, Browning T, Ng YS, Baker C, Peshock RM (2020) Active reprioritization of the reading worklist using artificial intelligence has a beneficial effect on the turnaround time for interpretation of head CT with intracranial hemorrhage. Radiology: Artif Intell 3(2):e200024

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