UNASSIGNED: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician\'s confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis.
UNASSIGNED: This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided.
UNASSIGNED: Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses.
UNASSIGNED: ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included.
UNASSIGNED: Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.

The study on the impact of consumer purchase intention on luxury goods has received widespread attention from the academic community. This study collected research data in Guilin, China, through questionnaire survey, and conducted an empirical study on the influencing factors of luxury consumers\' purchase intention. The results show: The price level of luxury goods has a positive impact on consumers\' face perception, while the positive impact of price level on expected regret has not been verified. Consumer\'s face perception has positive and negative effects on consumers\' expected regret and consumers\' purchase intention respectively. Consumer\'s downward expected regret and consumer\'s upward expected regret have different effects on consumers\' purchase intention. Consumers\' face perception and expected regret play a mediating effect in the research of influence relationship. This study is conducive to a better analysis of the psychology and behavior of Chinese luxury consumers, enriching the theoretical connotation of consumer psychology, and promoting the healthy development of the luxury goods industry.

BACKGROUND: In recent years, telehomecare has become an increasingly important option for health care providers to deliver continuous care to their patients.
OBJECTIVE: This study aims to explore the expectations, attitudes, and barriers to telehomecare among caregivers of homebound or bedridden older adults.
METHODS: This qualitative study used semistructured interviews to explore caregivers\' perspectives on telehomecare for homebound or bedridden older adults. The study adhered to the SRQR (Standards for Reporting Qualitative Research) guidelines. Participants were selected using convenience sampling from caregivers of homebound or bedridden older adults with experience in both in-person home visits and telehomecare services provided by the Department of Family Medicine at Chiang Mai University, in an urban area of Chiang Mai Province in Northern Thailand. Semistructured interviews were conducted. The interviews were audio recorded with participant consent and transcribed verbatim. The framework method was used, involving multiple readings of transcripts to facilitate familiarization and accuracy checking. The study used the technology acceptance model and comprehensive geriatric assessment as the analytical framework.
RESULTS: The study included 20 caregivers of older adult patients. The patients were predominantly female (15/20, 75%), with an average age of 86.2 years. Of these patients, 40% (n=8) of patients were bedridden, and 60% (n=12) of patients were homebound. Caregivers expressed generally positive attitudes toward telehomecare. They considered it valuable for overall health assessment, despite recognizing certain limitations, particularly in physical assessments. Psychological assessments were perceived as equally effective. While in-person visits offered more extensive environmental assessments, caregivers found ways to make telehomecare effective. Telehomecare facilitated multidisciplinary care, enabling communication with specialists. Caregivers play a key role in care planning and adherence. Challenges included communication issues due to low volume, patient inattention, and faulty devices and internet signals. Some caregivers helped overcome these barriers. The loss of information was mitigated by modifying signaling equipment. Technology use was a challenge for some older adult caregivers. Despite these challenges, telehomecare offered advantages in remote communication and resolving scheduling conflicts. Caregivers varied in their preferences. Some preferred in-person visits for a broader view, while others favored telehomecare for its convenience. Some had no strong preference, appreciating both methods, while others considered the situation and patient conditions when choosing between them. Increased experience with telehomecare led to more confidence in its use.
CONCLUSIONS: Caregivers have positive attitudes and high expectations for telehomecare services. Although there may be barriers to receiving care through this mode, caregivers have demonstrated the ability to overcome these challenges, which has strengthened their confidence in telehomecare. However, it is important to enhance the skills of caregivers and health care teams to overcome barriers and optimize the use of telehomecare.

Trial history biases and lapses are two of the most common suboptimalities observed during perceptual decision-making. These suboptimalities are routinely assumed to arise from distinct processes. However, previous work has suggested that they covary in their prevalence and that their proposed neural substrates overlap. Here we demonstrate that during decision-making, history biases and apparent lapses can both arise from a common cognitive process that is optimal under mistaken beliefs that the world is changing i.e. nonstationary. This corresponds to an accumulation-to-bound model with history-dependent updates to the initial state of the accumulator. We test our model\'s predictions about the relative prevalence of history biases and lapses, and show that they are robustly borne out in two distinct decision-making datasets of male rats, including data from a novel reaction time task. Our model improves the ability to precisely predict decision-making dynamics within and across trials, by positing a process through which agents can generate quasi-stochastic choices.

OBJECTIVE: Bar charts of numerical data, often known as dynamite plots, are unnecessary and misleading. Their tendency to alter the perception of mean\'s position through the within-the-bar bias and their lack of information on the distribution of the data are two of numerous reasons. The machine learning tool, Barzooka, can be used to rapidly screen for different graph types in journal articles.We aim to determine the proportion of original research articles using dynamite plots to visualize data, and whether there has been a change in their use over time.
METHODS: Original research articles in nine surgical fields of research were sampled based on MeSH terms and then harvested using the Python-based biblio-glutton-harvester tool. After harvesting, they were analysed using Barzooka. Over 40 000 original research articles were included in the final analysis. The results were adjusted based on previous validation data with 95% confidence bounds. Kendall τ coefficient with the Mann-Kendall test for significance was used to determine the trend of dynamite plot use over time.
RESULTS: Eight surgical fields of research showed a statistically significant decrease in use of dynamite plots over 10 years. Oral and maxillofacial surgery showed no significant trend in either direction. In 2022, use of dynamite plots, dependent on field and 95% confidence bounds, ranges from ~30% to 70%.
CONCLUSIONS: Our results show that the use of dynamite plots in surgical research has decreased over time; however, use remains high. More must be done to understand this phenomenon and educate surgical researchers on data visualization practices.

This study investigates how non-native English-speaking (NNES) doctoral students self-assess their English academic writing (EAW) abilities. A total of 255 international NNES students, hailing from 49 different countries and speaking 48 mother tongues, voluntarily participated in our study. They were enrolled in 65 PhD programs at 14 universities across Hungary during the 2021-2022 academic year. To address our research aim, we developed a survey using a 6-point Likert scale, following the guidelines of Dörnyei and Dewaele (2022). The survey focused on self-assessing their abilities to write academic texts in English. The analysis results indicate that students lacked confidence in their EAW abilities at the beginning of their PhD studies but exhibited increased confidence at the current stage. The results also highlight the influence of gender and English language proficiency on EAW self-assessments. Additionally, senior PhD students demonstrated greater confidence in field-specific lexical knowledge compared to their first-year peers. This study highlights the fact that NNES novice writers lacked the necessary EAW skills upon entering their PhD programs, making it challenging for them to start doctoral-level writing immediately. This underscores the need for comprehensive support that encompasses both enhancing English language proficiency and providing academic writing assistance.

OBJECTIVE: Preterm birth is increasing, and obstetric nurses should have the competency to provide timely care. Therefore, training is necessary in the maternal nursing practicum. This study aimed to investigate the effects of practice education using a preterm-labor assessment algorithm on preterm labor-related knowledge and clinical practice confidence in senior nursing students.
METHODS: A pre-post quasi-experimental design with three groups was used for 61 students. The preterm-labor assessment algorithm was modified into three modules from the preterm-labor assessment algorithm by March of Dimes. We evaluated preterm labor-related knowledge, clinical practice confidence, and educational satisfaction. Data were analyzed with the paired t-test and repeated-measures analysis of variance.
RESULTS: The practice education using a preterm-labor assessment algorithm significantly improved both preterm labor-related knowledge and clinical practice confidence (paired t=-7.17, p<.001; paired t=-5.51, p<.001, respectively). The effects of the practice education using a preterm-labor assessment algorithm on knowledge lasted until 8 weeks but decreased significantly at 11 and 13 weeks after the program, while the clinical practice confidence significantly decreased at 8 weeks post-program.
CONCLUSIONS: The practice education using a preterm-labor assessment algorithm was effective in improving preterm labor-related knowledge and clinical practice confidence. The findings suggest that follow-up education should be conducted at 8 weeks, or as soon as possible thereafter, to maintain knowledge and clinical confidence, and the effects should be evaluated.

Background and Objectives: We attempted to determine the optimal radiation dose to maintain image quality using a deep learning application in a physical human phantom. Materials and Methods: Three 5 × 5 × 5 mm3 uric acid stones were placed in a physical human phantom in various locations. Three tube voltages (120, 100, and 80 kV) and four current-time products (100, 70, 30, and 15 mAs) were implemented in 12 scans. Each scan was reconstructed with filtered back projection (FBP), statistical iterative reconstruction (IR, iDose), and knowledge-based iterative model reconstruction (IMR). By applying deep learning to each image, we took 12 more scans. Objective image assessments were calculated using the standard deviation of the Hounsfield unit (HU). Subjective image assessments were performed by one radiologist and one urologist. Two radiologists assessed the subjective assessment and found the stone under the absence of information. We used this data to calculate the diagnostic accuracy. Results: Objective image noise was decreased after applying a deep learning tool in all images of FBP, iDose, and IMR. There was no statistical difference between iDose and deep learning-applied FBP images (10.1 ± 11.9, 9.5 ± 18.5 HU, p = 0.583, respectively). At a 100 kV-30 mAs setting, deep learning-applied FBP obtained a similar objective noise in approximately one third of the radiation doses compared to FBP. In radiation doses with settings lower than 100 kV-30 mAs, the subject image assessment (image quality, confidence level, and noise) showed deteriorated scores. Diagnostic accuracy was increased when the deep learning setting was lower than 100 kV-30 mAs, except for at 80 kV-15 mAs. Conclusions: At the setting of 100 kV-30 mAs or higher, deep learning-applied FBP did not differ in image quality compared to IR. At the setting of 100 kV-30 mAs, the radiation dose can decrease by about one third while maintaining objective noise.

UNASSIGNED: Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one\'s health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.

OBJECTIVE: Research has shown that physicians are encountering an increase in vaccine-hesitant parents (VHPs) numbers. This study examined physicians\' vaccination knowledge, vaccine-related discussions with VHPs, beliefs about and responses to vaccine hesitancy, and challenges faced while discussing immunization with VHPs.
METHODS: This cross-sectional, descriptive study was performed at King Saud University Medical City (KSUMC), Riyadh, Saudi Arabia, in September 2020. The data were collected through a questionnaire distributed via email. The sample comprised 90 physicians who routinely treat children and reported they frequently have appropriate vaccine discussions when encountering VHPs.
RESULTS: Ninety participants (59% were females) completed the questionnaire. Of these, 37.8% were from family medicine, 7.8% from primary care, and 54.4% from paediatrics. The most discussed topics were vaccine necessity, reasons for vaccine refusal, and vaccine safety. Seventeen participants (18.8%) reported being extremely confident, and (42.2%) were confident in their vaccine-specific knowledge. Regarding confidence in communication skills, 22.2% reported being extremely confident and (45.6%) were confident. Determinants of higher confidence in the knowledge and communication skills were physician age (p = 0.001 and p = 0.0001, respectively), years of practice (p = 0.002 and (p = 0.005), and patients seen per workday (p = 0.0001 and p = 0.024). Other factors such as physician sex (p = 0.062), the field of practice (p = 0.329), and hours of work per week (p = 0.061) were not significantly different. Forty-six (51%) physicians sometimes find it challenging to conduct appropriate vaccine-related discussions because of having too many other issues to discuss during the consultation. Furthermore, 53 (59%) participants agreed/strongly agreed that parental refusal to vaccinate would raise suspicions of negligence. On the other hand, 59 (65%) disagreed/strongly disagreed that parental refusal of vaccines is a parental right. Participants expressed the need to refer VHPs to a specialised advisory clinic with excellent experience and negotiation skills to overcome the challenges.
CONCLUSIONS: Vaccine safety and necessity are the topics of most concern to VHPs, and a knowledgeable physician with competent communication skills is critical in responding to such situations. This study highlights the most reported barriers to successful vaccine-related discussions. It raises underlying ethical principles such as parental autonomy and the need to train physicians in VHPs. To train physians for succucful vaccine counceling of VHPs.