The – possibly – imminent AI revolution will, to a great extent, affect the education and training for all knowledge-working professions, and therefore must be considered an important aspect also of CME. This paper reviews some of the misconceptions about AI technology, then turns to point out possible applications of AI in the medical domain and then addresses the question what this will mean for (continuing) medical education.
female) was 36.3 (SD = 14.5) years. Higher frequency of adoption of 6 health behaviors within the 'high income group' as compared to counterparts was indicated by t tests. Notable mean differences in behavior included choosing steamed over fried foods (P < 0.01), using small amounts of oils (P < 0.05), eating healthful snacks (P < 0.05), and following traditional healthful Chinese food patterns (P < 0.01). Stronger self-efficacy levels in the 'high income group' for 7 out of 9 items reflecting the performance of dietary behaviors were also indicated by t tests. Conclusion: Nutrition professionals must assess client's living environments in the adoption of obesity prevention behaviors. In fostering behavioral confidence, investigating the impact of individuals' neighborhood in various residential areas are warranted. Funding: None.
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