DEVELOPMENT OF A CHATBOT TO IDENTIFY DEPRESSION THROUGH A QUESTIONNAIRE

Purpose: to develop and test a prototype of Chatbot (Artificial Intelligence) with the purpose of applying a questionnaire to assess depression in visually impairmed invidivuals. Methods: This project was carried out in the Innovation in Health Technology Laboratory of the Sao Paulo Federal University. The Chatbot was developed using the platform BLiP. The social demography questionnaire and the Center for Epidemiological Scale Depression (CES D) were selected to collect the essential data and to identify the presence of depression, respectively. After the development, validation tests were applied to verify the functionality and structure of the chatbot. Results: The Chatbot prototype presented an excellent flow of conversation in the tests conducted. The questionnaires were applied in a satisfactory manner during the tests, showing that it could possibly be applied to real patients with depression symptoms. Software validation tests approved the prototypes function. Conclusions: The Chatbot prototype is an affordable and easy way to apply questionnaires that can be used to identify health conditions, such as the likelihood of being depressed. The Chatbot system can record the answers so it is analyzed by health care professionals to help decide if an intervention is necessary. KEYWORDS: Artificial Intelligence; Depression; Ophthalmology; Vision Disorders.

Study of the Characteristic Mental Development Features of Primary School Students with Visçion Impairments

Severe vision impairments are an obstacle to the adequate cognitive and social development of the child. The educational response to priority problems that occur with vision disorders requires appropriate training of vision impairment specialists. For this purpose, they need basic knowledge related to the classification of vision impairments and the main aspects of the development and education of this category of children. This study aimed to analyse the main features of educational activities of children with vision impairments using special diagnostic methods and to search for effective methods for correcting the cognitive activity of children with vision impairments. During the study, an experiment was conducted with children with vision impairments (15 children). To conduct the experiment, the study used methods proposed by V.V. Tarasun and adapted them to the contingent of children with vision impairments. In particular, the following methods: the method of motivational preferences "Three wishes", the method of "Memorising 10 words", and the method of "What, why, how". The depth and time of vision impairment are considered as a primary defect, which has corresponding secondary consequences and requires corrective action under the guidance of an experienced vision impairment specialist.

Current Challenges Supporting School-Aged Children with Vision Problems: A Rapid Review

Many children have undetected vision problems or insufficient visual information processing that may be a factor in lower academic outcomes. The aim of this paper is to contribute to a better understanding of the importance of vision screening for school-aged children, and to investigate the possibilities of how eye-tracking (ET) technologies can support this. While there are indications that these technologies can support vision screening, a broad understanding of how to apply them and by whom, and if it is possible to utilize them at schools, is lacking. We review interdisciplinary research on performing vision investigations, and discuss current challenges for technology support. The focus is on exploring the possibilities of ET technologies to better support screening and handling of vision disorders, especially by non-vision experts. The data orginate from a literature survey of peer-reviewed journals and conference articles complemented by secondary sources, following a rapid review methodology. We highlight current trends in supportive technologies for vision screening, and identify the involved stakeholders and the research studies that discuss how to develop more supportive ET technologies for vision screening and training by non-experts.

Intermixing the OPN1LW and OPN1MW Genes Disrupts the Exonic Splicing Code Causing an Array of Vision Disorders

Light absorption by photopigment molecules expressed in the photoreceptors in the retina is the first step in seeing. Two types of photoreceptors in the human retina are responsible for image formation: rods, and cones. Except at very low light levels when rods are active, all vision is based on cones. Cones mediate high acuity vision and color vision. Furthermore, they are critically important in the visual feedback mechanism that regulates refractive development of the eye during childhood. The human retina contains a mosaic of three cone types, short-wavelength (S), long-wavelength (L), and middle-wavelength (M) sensitive; however, the vast majority (~94%) are L and M cones. The OPN1LW and OPN1MW genes, located on the X-chromosome at Xq28, encode the protein component of the light-sensitive photopigments expressed in the L and M cones. Diverse haplotypes of exon 3 of the OPN1LW and OPN1MW genes arose thru unequal recombination mechanisms that have intermixed the genes. A subset of the haplotypes causes exon 3- skipping during pre-messenger RNA splicing and are associated with vision disorders. Here, we review the mechanism by which splicing defects in these genes cause vision disorders.

Application of Blue Filters Increases the Usefulness of Moreland Test in Anomaloscopic Color Vision Assessment for Blue–Green Color Range

The effect of blue light filters on the anomaloscopic examination was analyzed. Thirty subjects (18–43 y, 20 female, 10 male) without color vision disorders were examined in 4 filter conditions: no filter (F-0), Blue Control Hoya (F-BC), Med-1 JZO (F-Med1) and 450 Eschenbach (F-450). Both Rayleigh test (red–green axis) and Moreland test (blue–green axis) were performed. Application of F-BC filter shows negligible effect on color vision perception in both tests. Contrary to this, the application of strong F-450 filter causes significant shift in Moreland test towards tritanopy and the decrease in correlations of Moreland parameters with Rayleigh test parameters. The application of medium strong F-Med1 filter causes the slight shift in Moreland test towards the center of the Moreland scale and increases the Spearman correlations between Moreland and Rayleigh test parameters. This observation suggests that the about 15–40% reduction of blue diode intensity in the Moreland test may be beneficial in detecting mild changes in color vision perception in the blue-green axis and may improve its usefulness in evaluating the color vision perception disorders accompanying different illnesses, such as diabetes, glaucoma, neuritis optica, or cataract. The discussion concerning the modifications of Moreland test construction is also presented.

Intermixing the OPN1LW and OPN1MW Genes Disrupts the Exonic Splicing Code Causing an Array of Vision Disorders

The first step in seeing is light absorption by photopigment molecules expressed in the photore-ceptors of the retina. There are two types of photoreceptors in the human retina that are respon-sible for image formation, rods and cones. Except at very low light levels when rods are active, all vision is based on cones. Cones mediate high acuity vision and color vision. Furthermore, they are critically important in the visual feedback mechanism that regulates refractive development of the eye during childhood. The human retina contains a mosaic of three cone types, short-wavelength (S), long-wavelength (L) and middle-wavelength (M); however, the vast major-ity (~94%) are L and M cones. The OPN1LW and OPN1MW genes, located on the X-chromosome at Xq28, encode the protein component of the light-sensitive photopigments. Here we review mechanism by which splicing defects in these genes cause vision disorders.

Nursing Research of Optic Canal Decompression Operation under Nasal Endoscopic Medical Treatment Based on Intelligent Internet of Things for Traumatic Vision Disorders

Traumatic vision is an important factor that causes people to have a vision. In our country, the vast majority of vision is caused by trauma. To understand the role of optic nerve decompression in the treatment of traumatic visual disturbances based on the pathological states of traumatic visual disturbances and intelligent Internet of tumors medical nasal endoscopy optic nerve decompression. This article collects relevant information by investigating patients, investigating relevant literature, interviewing professionals, etc., constructing a case template and using a comprehensive quantitative and qualitative analysis method to create a damage assessment matrix. The results of the study found that most traumatic vision disorders occur in the young and middle-aged stage, which is more than three times that of other age groups. The permanent blindness rate of patients reaches 8%, which is extremely harmful. Optic canal decompression surgery can play a great role in the treatment of patients. It can greatly reduce the patient’s neurological damage. The effect is about 30% higher than that of general treatment methods, and it can also play a certain role in the prognosis of rehabilitation. It can effectively prevent related postoperative complications. This shows that optic canal decompression in the treatment of traumatic vision disorders should attract people’s attention and increase research and development efforts and promotion efforts so that optic canal decompression can be used in the diagnosis and treatment of patients with traumatic vision disorders based on smart Internet of things China can play a greater role.