Challenges in Accurately Using Artificial Intelligence and Machine Learning in Biomedical Imaging

Biomedical imaging plays an important role in advancing the quality of health care. It aids in diagnosing and treating patients without the need for surgical intervention. Various types of biomedical imaging techniques help in the diagnosis of various diseases. In the present day, artificial intelligence has been implemented to improve the healthcare sector. Many researchers have various opinions on the applications of Artificial Intelligence and Machine Learning (AI/ML) in healthcare. Artificial Intelligence (AI) in biomedical imaging is currently one of the most popular research topics in healthcare, and it’s generating a lot of interest with many scientific articles being published on this subject. While it offers numerous benefits, there are also accompanying challenges that require attention. The primary objective of this chapter is to emphasize the limitations in applying AI/ML in biomedical imaging. To understand the numerous challenges linked to the application of AI/ML in biomedical imaging. This will assist researchers in maintaining awareness of the challenges encountered when utilizing AI/ML in the context of biomedical imaging.