Injection Site Reactions (ISRs) are common adverse effects of injectable treatments, negatively impacting patient comfort, adherence, and overall treatment outcomes. Timely and precise identification of these reactions is vital for effective clinical intervention and improved patient safety. The objective of this study is to leverage artificial intelligence (AI) and advanced image processing to automate the detection and evaluation of ISRs, consequently enhancing clinical monitoring capabilities and patient care.
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