scholarly journals 142 Artificial intelligence and the NHS: a qualitative exploration of the factors influencing adoption

2020 ◽  
Author(s):  
Kirsty Morrison ◽  
Mark Exworthy
Keyword(s):  
Artificial Intelligence ◽  
Factors Influencing ◽  
Qualitative Exploration

Trust in Artificial Intelligence: Meta-Analytic Findings

2021 ◽  
pp. 001872082110139
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock
Keyword(s):  
Artificial Intelligence ◽  
Empirical Research ◽  
Meta Analysis ◽  
Automated Vehicles ◽  
Factors Influencing ◽  
Moderating Factors ◽  
Shared Context ◽  
Build Systems ◽  
Significant Factors

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.

Factors Influencing Trainees’ Interest in Breast Imaging

2021 ◽  
pp. 084653712110495
Author(s):  
Tong Wu ◽  
Wyanne Law ◽  
Nayaar Islam ◽  
Charlotte J. Yong-Hing ◽  
Supriya Kulkarni ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Students ◽  
Breast Imaging ◽  
Current Level ◽  
Common Reason ◽  
Training Level ◽  
Chi Square ◽  
Factors Influencing ◽  
Radiology Residents ◽  
The Impact

Purpose: To gauge the level of interest in breast imaging (BI) and determine factors impacting trainees’ decision to pursue this subspecialty. Methods: Canadian radiology residents and medical students were surveyed from November 2020 to February 2021. Training level, actual vs preferred timing of breast rotations, fellowship choices, perceptions of BI, and how artificial intelligence (AI) will impact BI were collected. Chi-square, Fisher’s exact tests and univariate logistic regression were performed to determine the impact of trainees’ perceptions on interest in pursuing BI/women’s imaging (WI) fellowships. Results: 157 responses from 80 radiology residents and 77 medical students were collected. The top 3 fellowship subspecialties desired by residents were BI/WI (36%), abdominal imaging (35%), and interventional radiology (25%). Twenty-five percent of the medical students were unsure due to lack of exposure. The most common reason that trainees found BI unappealing was repetitiveness (20%), which was associated with lack of interest in BI/WI fellowships (OR = 3.9, 95% CI: 1.6-9.5, P = .002). The most common reason residents found BI appealing was procedures (59%), which was associated with interest in BI/WI fellowships (OR, 3.2, 95% CI, 1.2-8.6, P = .02). Forty percent of residents reported an earlier start of their first breast rotation (PGY1-2) would affect their fellowship choice. Conclusion: This study assessed the current level of Canadian trainees’ interest in BI and identified factors that influenced their decisions to pursue BI. Solutions for increased interest include earlier exposure to breast radiology and addressing inadequacies in residency training.

scholarly journals Factors influencing insulin acceptance among type 2 diabetes mellitus patients in a primary care clinic: a qualitative exploration

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Hasliza Abu Hassan ◽  
Hizlinda Tohid ◽  
Rahmah Mohd Amin ◽  
Mohamed Badrulnizam Long Bidin ◽  
Leelavathi Muthupalaniappen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Factors Influencing ◽  
Qualitative Exploration

scholarly journals Qualitative exploration of the factors influencing the use of dietary supplements in Iranian women: introduction to areas of focus for developing interventions

2020 ◽  
Author(s):  
Akramsadat Hoseini ◽  
Tahereh Dehdari ◽  
Mahnaz Solhi ◽  
Seyedeh Tayebeh Rahideh ◽  
Leila Janani
Keyword(s):  
Content Analysis ◽  
Dietary Supplements ◽  
Qualitative Content Analysis ◽  
Personal Factors ◽  
Iranian Women ◽  
Factors Influencing ◽  
Effective Interventions ◽  
Data Saturation ◽  
History Of ◽  
Qualitative Exploration

Abstract Background: Literature shows that the consumption of Dietary Supplements (DS) is more common in Iran. This study aimed to explore the experiences of a sample of Iranian women regarding the factors influencing the use of DS.Methods: This qualitative content analysis study was conducted in Qods city, Tehran province, Iran from January to March 2020. Forty-two semi-structured in-depth interviews were performed with women. The participants were asked about their experiences about the determinants of the consumption of DS. After the first round of the interviews was done, we performed content analysis of the data and continued up to data saturation.Results: Two main themes including personal factors (with 5 subthemes including sociodemographic characteristics, perceived benefits of DS, history of illness, physiological conditions, and lifestyle factors) and socio-economic factors (with 3 subthemes including subjective norms, the price of food and commercial considerations of the sectors involved in the production and sale of DS) emerged as the experiences of the participants as to the intake of DS.Conclusions: These variables may suggest areas which need to be focused on for performing more effective interventions to affect appropriate consumption of DS in Iran.

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