Figure 3. Stacked bar chart of responses to paired questions before and after the conference. p values are displayed for the Wilcoxon signed-rank test for each of the paired questions above the bar charts. From top down, each bar is divided into sub-bars for “Strongly Agree,” “Agree,” “Neutral,” “Disagree,” and “Strongly Disagree.” These are color-coded as described in the fill legend. A. I understand what artificial intelligence is. Before the conference, nine participants strongly agreed, 27 agreed, six were neutral, and one disagreed. After the conference, 14 participants strongly agreed, 25 participants agreed, and four were neutral (p = 0.0367). B. I understand the benefits/uses of artificial intelligence in health care. Before the conference, 10 participants strongly agreed, 20 agreed, 10 were neutral, and three disagreed. After the conference, 12 participants strongly agreed, 25 agreed, five were neutral, and one disagreed (p = 0.0868). C. AI and advanced technologies have the potential to improve patient care. Before the conference, 22 strongly agreed, 18 agreed, two were neutral, and one disagreed. After the conference, 21 strongly agreed, 20 agreed, and two were neutral (p = 1). D. AI and advanced technologies have the potential to improve hospital efficiency. Before the conference, 24 strongly agreed, 15 agreed, three were neutral, and one disagreed. After the conference, 23 strongly agreed, 17 agreed, and three were neutral (p = 0.802). E. I am concerned about the use of artificial intelligence in health care. Before the conference, five participants strongly agreed, 23 agreed, 12 were neutral, one disagreed, and two strongly disagreed. After the conference, five participants strongly agreed, 18 agreed, 15 were neutral, four disagreed, and one strongly disagreed (p = 0.419). F. I am confident using artificial intelligence. Before the conference, four participants strongly agreed, 19 agreed, 13 were neutral, and seven disagreed. After the conference, eight participants strongly agreed, 22 agreed, nine were neutral, and four disagreed (p = 0.00319). G. I feel empowered to use AI in my daily work. Before the conference, eight participants strongly agreed, 14 agreed, five were neutral, 11 disagreed, and five strongly disagreed. After the conference, 11 strongly agreed, 18 agreed, seven were neutral, six disagreed, and one strongly disagreed (p = 0.00596). H. I am interested in pursuing a career in medical AI. Before the conference, 17 participants strongly agreed, 10 agreed, 12 were neutral, one disagreed, and one strongly disagreed. After the conference, 16 participants strongly agreed, 11 agreed, eight were neutral, three disagreed, and one strongly disagreed (p = 0.824).
AI: artificial intelligence.
From: Evaluating Conferences as a Tool to Improve Medical Artificial Intelligence Comprehension among Healthcare Professionals: A before and after Study

Figure 4. Forrest plots displaying the adjusted odds ratios of agreeing to each of the questions after the conference for participants who previously attended a MedTech AI conference or were clinicians, while controlling for previous agreement to each respective question. This was generated through separate logistic regression models for each question. The x-axis represents the odds ratio. On each graph, the solid dot represents the odds ratio, with a horizontal line representing the 95% confidence interval. Due to scale, the confidence intervals are not fully demonstrated. The y-axis found on plots A and E denote the labels for each predictor for plots A, B, C, D and plots E, F, G and H respectively. A. I understand what artificial intelligence is. B. I understand the benefits/uses of artificial intelligence in health care. C. AI and advanced technologies have the potential to improve patient care. D. AI and advanced technologies have the potential to improve hospital efficiency. E. I am concerned about the use of artificial intelligence in health care. F. I am confident using artificial intelligence. G. I feel empowered to use AI in my daily work. H. I am interested in pursuing a career in medical AI. For all questions, when controlling for agreement in the pre-conference questionnaire, previously attending an AI conference and being a clinician did not have a statistically significant impact on any of the paired questions.
AI: artificial intelligence.
From: Evaluating Conferences as a Tool to Improve Medical Artificial Intelligence Comprehension among Healthcare Professionals: A before and after Study
