• Journal of Oral Medicine and Pain
• /
• v.47 no.2
• /
• pp.107-108
• /
• 2022

Artificial intelligence (AI) refers to the use of machines to mimic intelligent human behavior. It involves interactions with humans in clinical settings, and augmented intelligence is considered as a cognitive extension of AI. The importance of AI in healthcare and medicine has been emphasized in recent studies. Machine learning models, such as genetic algorithms, artificial neural networks (ANNs), and fuzzy logic, can learn and examine data to execute various functions. Among them, ANN is the most popular model for diagnosis based on image data. AI is rapidly becoming an adjunct to healthcare professionals and is expected to be human-independent in the near future. The introduction of AI to the diagnosis and treatment of oral diseases worldwide remains in the preliminary stage. AI-based or assisted diagnosis and decision-making will increase the accuracy of the diagnosis and render treatment more precise and personalized. Therefore, dental professionals must actively initiate and lead the development of AI, even if they are unfamiliar with it.

• Korean Journal of Exercise Nutrition
• /
• v.23 no.4
• /
• pp.32-35
• /
• 2019

[Purpose] Fibronectin type III domain containing 5 (FNDC5)/irisin is an exercise-induced myokine, which contributes to cognitive functions. However, the relationship between the neuroprotective effects of FNDC5/irisin and hippocampal dendritic remodeling and astrocyte-secreted factors remains unclear. Therefore, we explored whether subchronic recombinant irisin treatment affected hippocampal morphology and some astrocyte-derived molecules. [Methods] Mice were intraperitoneally injected with irisin (0.5 μg/kg/day) for seven days, followed by their sacrifice two days later. Hippocampal morphometric parameters were analyzed and pgc-1a, fndc5, bdnf, and some astrocyte-derived factors mRNA levels were measured. [Results] Dendritic length, arborization, and spine density were enhanced by irisin regimen in hippocampal CA1 and CA3 areas. Hippocampal pgc-1a, fndc5, and bdnf mRNA levels were significantly increased by irisin treatment. Moreover, hevin mRNA levels were significantly enhanced, whereas tgf-b1 levels downregulated by irisin treatment. [Conclusion] FNDC5/irisin has dendritogenic activity probably through hevin induction and TGF-β1 suppression.

• Korean Journal of Psychosomatic Medicine
• /
• v.31 no.2
• /
• pp.134-141
• /
• 2023

Objectives : The purpose of this study was investigating the differences in temperament, personality, and cognitive function among athletes and non-athletes, as well as differences within athlete groups participating in different-paced sports like baseball and basketball. Methods : A total of 57 professional basketball players, 51 professional baseball players, and 44 non-athletes subjected to temperament and characteristics inventory assessments and computerized neurocognitive function test. One-way analysis of variance (ANOVA) was employed to analyze the average differences in demographic characteristics, temperament, personality traits, and cognitive functions among the three groups, followed by Bonferroni post hoc tests. Comparisons between starters and non-starters within the athlete groups were conducted using the Mann-Whitney U test. Results : In the analysis of temperament, the basketball and baseball player groups exhibited higher reward dependence and persistence compared to the control group. Additionally, in the assessment of personality traits, both basketball and baseball player groups scored higher in self-directedness and cooperativeness compared to the control group, whereas self-transcendence scores were lower. In cognitive ability assessments, baseball and basketball players outperformed the control group in emotional perception tests. Both baseball and basketball players showed lower card movement counts compared to the control group. Conclusions : This study compared the differences in temperament, personality, and cognitive abilities between professional basketball and baseball players and non-athletes. These results provide valuable insights into the temperament, personality, and cognitive abilities of professional athletes, contributing important information for athlete development and coaching goals in the future.

• Korean Journal of Biological Psychiatry
• /
• v.24 no.2
• /
• pp.75-81
• /
• 2017

Objectives Obsessive-compulsive disorder (OCD) is a chronic and disabling psychiatric disorder. The duration of untreated illness (DUI) has been suggested as one of the predictors of clinical course and outcome in various psychiatric disorders. There is increasing evidence that cognitive dysfunction is associated with the prognosis of OCD. The aim of this study was to investigate the influence of DUI on the neurocognitive functions in patients with OCD. Methods Sixty-two patients with a DSM-IV diagnosis of OCD from the outpatient clinic were included in this study. We defined the short DUI if the DUI was 2-year or less and the long DUI if it was longer than 2-year. Neurocognitive functions were assessed by visuospatial memory function test and 4 subsets of K-WAIS such as vocabulary, arithmetic, block design and picture arrangement. Differences in neurocognitive functions as well as clinical variables between OCD patients with short DUI and those with long DUI were investigated. Correlation analyses were also performed to determine the correlation between DUI and neurocognitive functions. Results Compared with the short DUI group, the long DUI group performed worse in the block design test, which measures executive function. The long DUI group also had a higher level of compulsive symptom severity than the short DUI group. However, the DUI was not correlated with neurocognitive functions. Conclusions Findings in this preliminary study suggest that the long DUI in patients with OCD is associated with more severe executive dysfunction. Studies with larger samples and longitudinal design are needed to further confirm the prognostic role of the DUI in OCD.

• Korean Journal of Biological Psychiatry
• /
• v.19 no.3
• /
• pp.115-120
• /
• 2012

Objectives : Event-related potentials have been suggested as an objective marker for brain functions in psychiatric disorders. This study was aimed to investigate the relationships between P300, the mismatch negativity (MMN), the loudness dependence of the auditory evoked potential (LDAEP), demographic and clinical variables including neurocognitive abilities in patients with schizophrenia. Methods : P300, the MMN, and the LDAEP were measured and the Korean Stroop color-word test (K-stroop test) and the Wisconsin Card Sorting Test (WCST) were performed in 43 patients with schizophrenia. The relationship of the latency and amplitude of P300 and the MMN as well as regression slope of the LDAEP with demographic and clinical variables were analyzed by t-test and correlation analyses for categorical and continuous variables, respectively. Results : After controlling for age, the latency of central (Cz) and parietal (Pz) P300 posivitively correlated with GAF at admission (Cz ; ${\gamma}$ = 0.385, p = 0.047, Pz ; ${\gamma}$ = 0.421, p = 0.029). The amplitude of parietal P300 correlated with the correction rate of the K-stroop test (${\gamma}$ = 0.575, p = 0.002). In addition, the frontal (Fz) P300 latency tended to negatively correlated with the correction rate of the WCST (${\gamma}$ = -0.371, p = 0.057). Conclusions : Our findings suggest that the values of P300 latency and amplitude might be correlated with GAF at admission and working memory measured by the K-Stroop test and the WCST. Meanwhile, the MMN and the LDAEP did not correlate with demographic and clinical variables. These results support the results of previous studies showing associations with P300 and impaired cognitive ability.

• Imaging Science in Dentistry
• /
• v.50 no.2
• /
• pp.81-92
• /
• 2020

Intelligent systems(i.e., artificial intelligence), particularly deep learning, are machines able to mimic the cognitive functions of humans to perform tasks of problem-solving and learning. This field deals with computational models that can think and act intelligently, like the human brain, and construct algorithms that can learn from data to make predictions. Artificial intelligence is becoming important in radiology due to its ability to detect abnormalities in radiographic images that are unnoticed by the naked human eye. These systems have reduced radiologists' workload by rapidly recording and presenting data, and thereby monitoring the treatment response with a reduced risk of cognitive bias. Intelligent systems have an important role to play and could be used by dentists as an adjunct to other imaging modalities in making appropriate diagnoses and treatment plans. In the field of maxillofacial radiology, these systems have shown promise for the interpretation of complex images, accurate localization of landmarks, characterization of bone architecture, estimation of oral cancer risk, and the assessment of metastatic lymph nodes, periapical pathologies, and maxillary sinus pathologies. This review discusses the clinical applications and scope of intelligent systems such as machine learning, artificial intelligence, and deep learning programs in maxillofacial imaging.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.28 no.2
• /
• pp.84-95
• /
• 2017

Attention-deficit hyperactivity disorder (ADHD) is a neuropsychiatric disorder that begins in early childhood and can persist throughout adulthood. ADHD causes difficulties in various area of life, such as academic achievement, peer relationships, family functioning, employment and marriage. Although ADHD is known to respond well to medication, such treatment is more effective when combined with psychosocial (non-pharmacologic) therapy in terms of alleviating the core symptoms and improving appropriate functions. Psychosocial treatment interventions are divided into psychoeducation, behavioral parent training, school intervention, cognitive behavior therapy, social skill training, parent-child interaction therapy, play therapy, other treatments (coaching, complementary and alternative medicine), neurofeedback and Cogmed. Adult ADHD cognitive behavioral therapy is described separately. These practice parameters summarize the evidence for psychosocial treatment. Based on this evidence, specific recommendations are provided for psychosocial interventions.

• Science of Emotion and Sensibility
• /
• v.9 no.spc3
• /
• pp.235-241
• /
• 2006

This paper predict user acceptance of smart clothing. The present research develops and validates new products for smart clothing. Studies suggest that further analysis of the process be undertaken to better establish properties for smart clothing, underlying structures and stability over innovative technologies. The findings reported in this paper should be useful methods which identify user needs. such findings in now provide a way to explain technology acceptance. Both of qualitative and quantitative methods, were applied to this study in order to find out user needs for smart clothing. We are writing scenarios and conducting both focused group interviews and a survey to assess the user's interest. The purpose of the survey is to evaluate the importance of the functions and to evaluate the degree of the participant's feeling and attitude. Furthermore, we explore the nature and specific influences of factors that may affect the user perception and usage.

• Korean Journal of Cognitive Science
• /
• v.4 no.2
• /
• pp.29-51
• /
• 1994

This paper presents a new approach to describing the meanings of English relative clauses with the theoretical framework of Conceptual Structure Theory (henceforth CST)which builds on the pionerring work of Sowa.And this paper aims at proposing some extensions to his work. CST describes the conceptual structrures of sentences with conceptual graphs(henceforth CG). which have begun to be used as an intermediate language in natural language processing and machine translation of computer.CGs are composed of concept types and conceptual relation types. They are a system of logic for semantic representation of sentences. This paper focuses on showing the differences of the CGs according to the functions of English relative clauses. English relative clauses are divided into restrictive and nonrestrictive uses.And this paper describes a restrictive clause with a CG including a expression.which derives from the viewpoint of Montague-semantics and Nom-S Analysis.This paper deals mainly with the relative clauses of double restroction as an example of restrictive relative clauses.The description of a nonrestrictive relative clause does not need any-expression, for it doesn's involve the meaning of set.And this paper links the CG of an appositive relative clause,which is a kind of nonrestrictive clauses,to the concept of the antecedent in the main clause.The description of a nonrestrictive relative clause with adverbial meaning is strated with two CGs for the main clause and the relative clause.They are linked with an appropriate intersentential conceptual relation type according to the contextual realtions between them.This paper also presents a CG of a sentential relative clause,which gives a comment on the main clause.

• Biomolecules & Therapeutics
• /
• v.21 no.5
• /
• pp.381-390
• /
• 2013

The purpose of this study was to examine whether ginsenoside Rg3 (GRg3) could improve learning and memory impairments and inflammatory reactions induced by injecting lipopolysaccharide (LPS) into the brains of rats. The effects of GRg3 on proinflammatory mediators in the hippocampus and the underlying mechanisms of these effects were also investigated. Injection of LPS into the lateral ventricle caused chronic inflammation and produced deficits in learning in a memory-impairment animal model. Daily administration of GRg3 (10, 20, and 50 mg/kg, i.p.) for 21 consecutive days markedly improved the LPS-induced learning and memory disabilities demonstrated on the step-through passive avoidance test and Morris water maze test. GRg3 administration significantly decreased expression of pro-inflammatory mediators such as tumor necrosis factor-${\alpha}$, interleukin-1${\beta}$, and cyclooxygenase-2 in the hippocampus, as assessed by reverse transcription-polymerase chain reaction analysis and immunohistochemistry. Together, these findings suggest that GRg3 significantly attenuated LPS-induced cognitive impairment by inhibiting the expression of pro-inflammatory mediators in the rat brain. These results suggest that GRg3 may be effective for preventing or slowing the development of neurological disorders, including Alzheimer's disease, by improving cognitive and memory functions due to its anti-inflammatory activity in the brain.