Jianan Mental Hospital

Motion artifacts compromise the quality of magnetic resonance imaging (MRI) and pose challenges to achieving diagnostic outcomes and image-guided therapies. In recent years, supervised deep learning approaches have emerged as successful solutions for motion artifact reduction (MAR). One disadvantage of these methods is their dependency on acquiring paired sets of motion artifact-corrupted (MA-corrupted) and motion artifact-free (MA-free) MR images for training purposes. Obtaining such image pairs is difficult and therefore limits the application of supervised training. In this paper, we propose a novel UNsupervised Abnormality Extraction Network (UNAEN) to alleviate this problem. Our network is capable of working with unpaired MA-corrupted and MA-free images. It converts the MA-corrupted images to MA-reduced images by extracting abnormalities from the MA-corrupted images using a proposed artifact extractor, which intercepts the residual artifact maps from the MA-corrupted MR images explicitly, and a reconstructor to restore the original input from the MA-reduced images. The performance of UNAEN was assessed by experimenting with various publicly available MRI datasets and comparing them with state-of-the-art methods. The quantitative evaluation demonstrates the superiority of UNAEN over alternative MAR methods and visually exhibits fewer residual artifacts. Our results substantiate the potential of UNAEN as a promising solution applicable in real-world clinical environments, with the capability to enhance diagnostic accuracy and facilitate image-guided therapies.

ABSTRACT Background Medical Humanities (MH) curricula integrate humanities disciplines into medical education to nurture essential qualities in future physicians. However, the impact of MH on clinical competencies during formative training phases remains underexplored. This study aimed to determine the influence of MH curricula on internship performance. Methods The academic records of 1364 medical students across 8 years of admission cohorts were analyzed. Performance in basic sciences, clinical skills, MH, and internship rotations were investigated, including the subgroup analysis of MH curricula. Ten-fold cross-validation machine learning models (support vector machines, logistic regression, random forest) were performed to predict the internship grades. In addition, multiple variables regression was done to know the independent impact of MH on internship grades. Results MH showed the important roles in predicting internship performance in the machine learning model, with substantially reduced predictive accuracy after excluding MH variables (e.g. Area Under the Curve (AUC) declining from 0.781 to 0.742 in logistic regression). Multiple variables regression revealed that MH, after controlling for the scores of other subjects, has the highest odds ratio (OR: 1.29, p < 0.0001) on internship grades. MH explained 29.49% of the variance in internship grades as the primary variable in stepwise regression. In the subgroup analysis of MH curricula, Medical Sociology and Cultural Studies, as well as Communication Skills and Interpersonal Relationships, stood out with AUC values of 0.710 and 0.705, respectively, under logistic regression. Conclusion MH had the strongest predictive association with clinical competence during formative internship training, beyond basic medical sciences. Integrating humanities merits greater prioritization in medical curricula to nurture skilled, compassionate physicians. Further research should investigate the longitudinal impacts of humanities engagement.

Taste and smell dysfunction are suspected to be associated with substance use. However, representative epidemiological studies remain insufficient. This cross-sectional study explored the relationship between drug use (including cannabis or hashish, cocaine, heroin, and methamphetamine) and olfactory/gustatory dysfunction using data from the 2013–2014 National Health and Nutrition Examination Survey. In this study, participants who completed the smell examination with mean age of 59 were classified into four groups: cannabis users (n = 845), participants without cannabis use (n = 794), illicit drug users (n = 450), and participants without illicit drug use (n = 2000). Participants who completed the taste examination with mean age of 58 were also categorised into four groups: cannabis users (n = 810), participants without cannabis use (n = 714), illicit drug users (n = 428), and participants without illicit drug use (n = 1815). Logistic regression models investigated the association between cannabis or illicit drug use and smell or taste dysfunctions among study participants. Odds ratios and 95% confidence intervals were calculated. Finally, we did not find correlations between illicit drug use and dysfunction of taste or smell senses; our findings were consistent in many subgroup analyses. We recommend that further studies explore the mechanism and dose of illicit drug use that could have chemosensory impacts.

Background Integrating health promotion (HP) in clinical settings has tremendous effects on treatment outcomes, patient safety and expenses on short and long-term. WHO-HPH standards and models are used globally -but publications on compliance and provision of HP remain rare. Objective To evaluate WHO-HPH Standards compliance, identification of HP needs and related HP deliveries at hospitals, as well as to identify important factors for high level of service deliveries to patients in need of HP. Methods 21 clinical departments, each with 50 patient records, were included in Taiwan. Standards compliance was recorded. The 1050 medical records were audited for documentation of patients' HP need (HPH DATA model) and HP service deliveries (HPH Doc Act model) regarding malnutrition, overweight, physical inactivity, smoking and excessive drinking.

The aim of this study was to investigate the relationship between social engagement and daytime sleepiness among aged residents of a veterans' housing facility in Taiwan. A total of 597 men were enrolled in this cross-sectional study. Each subject was assessed with the Resident Assessment Instrument-Minimum Data Set, Geriatric Depression Scale, Pittsburgh Sleep Quality Index, and Mini-Mental State Examination. Social engagement was measured with the Index of Social Engagement (ISE), and daytime sleepiness was defined according to the relevant Pittsburgh Sleep Quality Index subcomponent. Subjects were divided into two groups according to their ISE levels. A multivariate logistic regression model was used to examine the association between ISE and other variables. The sample's mean age was 80.8 ± 5.0 years (range: 65-99 years). Mean ISE score was 1.5 ± 1.3 (range 0-5), with 52% of participants reporting poor social engagement (ISE = 0-1). Mean Pittsburgh Sleep Quality Index global score was 5.6 ± 3.6 (range: 0-18), and 31% of participants reported daytime sleepiness. The analysis was adjusted for level of depression, cognitive impairment, dependence in activities of daily life, unsettled relationships, and illiteracy. After adjustment, daytime sleepiness was found to be independently associated with subjects' level of social engagement (odds ratio: 2.5; 95% confidence interval: 1.7-3.8; P < 0.001). Daytime sleepiness and poor social engagement are common among aged residents of a veterans' housing facility. Subjects experiencing daytime sleepiness but not poor general sleep quality were at increased risk of poor social engagement. The clinical care of older residents must focus on improving daytime sleepiness to enhance their social engagement.

A qualitative research approach was used to explore the life experience of cognitively intact (CI) residents cohabitating with residents with dementia in mixed placement facilities. Purposive sampling was used to recruit 21 CI residents from 6 long-term care facilities in southern Taiwan. Using a semi-structured interview guide, data were analyzed by content analysis. Two themes emerged: emotional diversity and coping. Emotional diversity described the wide range of responses, both positive and negative, expressed by the participants. Coping referred to the CI residents' ability to adapt to behaviors exhibited by the residents with dementia and the environment. Results of this study provide nurses and other health care providers with an understanding of the life experience of CI residents who live among residents with dementia. An understanding can lead to improved quality of life and positive social interactions among CI residents and those with dementia.