Grant ID RP220366
Awarded On February 16, 2022
Title Automated image quality assessment for AI applications in cancer treatment
Program Academic Research
Award Mechanism Individual Investigator
Institution/Organization The University of Texas M.D. Anderson Cancer Center
Principal Investigator/Program Director Laurence E Court
Cancer Sites Breast, Cervix Uteri, Head and Neck
Contracted Amount $1,037,267
Lay Summary

Artificial intelligence and other automation approaches are set to dramatically improve workflows, consistency and quality in radiation therapy treatment planning and other image-guided cancer therapies. This is important because it should lead to improved patient outcomes and reduced treatment cost. The use of AI may, however, also result in avoidable risk to the patient, specifically related to human error, over-reliance (automation bias), and off-label use. AI workflows should, therefore, be designed to avoid these risks. One example is the influence of imaging protocol and image quality on AI-based auto-contouring (which is used to identify the tumor and normal tissues), as even ro...

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