AI has the potential to significantly improve diagnostic accuracy. Traditional diagnostic methods often rely on subjective interpretation by healthcare professionals, which can lead to variability and errors. AI can standardize the diagnostic process by analyzing complex data sets, including patient history, genetic information, and imaging results, to provide a more accurate diagnosis. Tools like IBMâs Watson for Oncology are already being used to assist oncologists in diagnosing and recommending treatment options based on a comprehensive analysis of medical literature and patient data.
