Dr. Answer AI for prostate cancer: Intention to use, expected effects, performance, and concerns of urologists

Artificial intelligence in urologic oncology: the actual clinical practice results of IBM Watson for Oncology in South Korea

“…Recently, the Dr. Answer AI project, a newly designed software using a machine learning algorithm in South Korea, was introduced for the choice of further treatment of prostate cancer and is expected to broaden the area of AI in the urologic field. 15 However, Dr. Answer has some limitations to apply for clinical practice very soon.…”

Physicians' Perceptions and Expectations of an Artificial Intelligence-Based Clinical Decision Support System in Cancer Care in an Underserved Setting

“…44 Users in Mexico reported that clinics who lack expertise in a particular subspecialty would benefit, as would medical students and residents. 19 In China, one study demonstrated that an AI-based tool promoted the standardization and personalization of treatment, 29 and another suggested that a majority of Chinese users approved the quality (86.3%) and comprehensibility (88.2%) of treatment options and rationale offered by AI-based tools. 20…”

“…44 Users in Mexico reported that clinics who lack expertise in a particular subspecialty would benefit, as would medical students and residents. 19 In China, one study demonstrated that an AI-based tool promoted the standardization and personalization of treatment, 29 and another suggested that a majority of Chinese users approved the quality (86.3%) and comprehensibility (88.2%) of treatment options and rationale offered by AIbased tools. 20 Despite the clear benefits, physicians raised several challenges/barriers such as concerns pertaining to autonomy in making decisions if there was discordance, the possibility of lack of human empathy resulting from too much reliance on technology, the learning curve that new users might have to face, and workflow disruptions arising from suboptimal integration with the everyday routines.…”

“…17 There are a few other studies, conducted in economically advanced countries, in which the primary objective was to understand how health professionals perceive amalgamation of AI in their practices and what influences their views. 18 19 However, none of these studies looked at the “anticipated perception” of future users of technology, especially in underserved settings, the main aim of this innovative study.…”