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This scoping review aims to identify and summarize the current literature on Machine learning (ML) approaches for detecting coronary artery disease (CAD) using angiography imaging. We comprehensively searched several databases and identified 23 studies that met the inclusion criteria. They employed different types of angiography imaging including computed tomography and invasive coronary angiography. Several studies have used deep learning algorithms for image classification and segmentation, and our findings show that various machine learning algorithms, such as convolutional neural networks, different types of UNet, and hybrid approaches. Studies also varied in the outcomes measured, identifying stenosis, and assessing the severity of CAD. ML approaches can improve the accuracy and efficiency of CAD detection by using angiography. The performance of the algorithms differed depending on the dataset used, algorithm employed, and features selected for analysis. Therefore, there is a need to develop ML tools that can be easily integrated into clinical practice to aid in the diagnosis and management of CAD. [ABSTRACT FROM AUTHOR]

An essential aspect of cancer registration is data quality. Data quality for Cancer Registries has been reviewed in this paper using four main criteria (comparability, validity, timeliness, and completeness). Medline (via PubMed), Scopus, and Web of Science databases were searched for relevant English articles published from inception until December 2022. Each study was analyzed for its characteristics, measurement method, and data quality features. According to the present study, the majority of articles evaluated the completeness feature, and the fewest evaluated the timeliness feature. A completeness rate of 36% to 99.3% and a timeliness rate of 9% to 98.5% were observed. Standardizing metrics and reporting of data quality is necessary to maintain confidence in the usefulness of cancer registries. [ABSTRACT FROM AUTHOR]

Background: Medical management for patients with organ transplantation at home after transplant is important for recovery and transition to daily life. Objective: This study was conducted with the aim of investigating the role of health software in facilitating self-care in patients with organ transplantation. Material and Methods: A comprehensive investigation was performed on MEDLINE (via Pub Med) and EMBASE (via Scopus) in October 2022. The criteria for inclusion in the study were original articles and executive implementation, all English papers included" The use of m-Health apps for self-management after transplantation "and the criteria for exclusion were short articles. The articles were integrated based on category of outcomes, characteristics of interventions, and their impact. articles were extracted using related scientific keywords, "Mobile Health", "Smartphone", "Mobile Apps", "Mobile Health Management" Service", "Mobile Applications", "Self-care", "Patient Self-Management", "Organ Transplantation", After removal of duplicate the content was classified and analyzed using methods Scientifically done. Results: A total of 133 articles were retrieved and sixteen publications were included for full-text analysis. Interventions include those involving the follow-up of medication and treatment processes (3 studies), attitudes of patients (6 studies), remote monitoring (2 studies), patient education (4 studies), improving care and reducing healthcare costs (1 study). In 6 (75%) out of 8 outcomes, improving self-care in patients with organs transplantation and increase motivational abilities and improving drug adherence and 2 (25%) and patient education. Conclusion: Smartphone's based on mobile app technology can increase the possibility of quick access to information by connecting patients to health care, facilitating remote care providers and reducing costs at any point and any time. [ABSTRACT FROM AUTHOR]

Background: Major depressive disorder (MDD) is one of the most common mental illnesses. In recent years, Virtual reality (VR) interventions have appeared more extensively used as a therapeutic tool in psychology and psychiatry. Objective: The study aimed to determine the effects of VR in treating and improving the symptoms of patients with MDD. Material and Methods: This study was conducted on the potential of VR in MDD in 2014-2022. The present article systematically reviewed available literature in PubMed, Google Scholar, and Scopus databases using PRISMA guidelines. Results: A total of 144 studies were examined, and 28 articles were selected for the eligibility phase. We analyzed the resulting set of 14 studies that met the inclusion criteria. Six of them reported the usability of VR in treating MDD, five said the uses of VR in improving symptoms, and three articles showed how cognitive behavioral therapy is included as a part of VR technologies in depression. Conclusion: The capability of VR to simulate reality could significantly increase access to psychological therapies for people who live in remote areas and do not receive adequate mental health care. Virtual reality has been successfully used to support treatment and can add many advantages to the treatment of MDD. However, there is a critical need for more investigation in the area, and it is required to develop constant validations. [ABSTRACT FROM AUTHOR]

Background: Gastroesophageal reflux disease (GERD) is a common clinical issue affecting millions worldwide. The rapid growth in the number of mobile health applications could have profound significance in the prevention of disease or the treatment of patients with chronic diseases such as GERD. Objective: This study aimed to assess the mobile application for Gastroesophageal reflux disease, providing general and specific rating scores for each aspect of MARS. Material and Methods: We examine the existing apps on two leading mobile app stores: Google Play and the IOS, in Oct-2022 for apps related to GERD. Eligibility criteria include: capable of running on Android or IOS operating systems, in the English language, especially for GERD, and being available in Iran and free. After removing duplicates, the apps were reviewed, rated, and evaluated independently by two reviewers with Mobile App Rating Scale (MARS) tools. Results: Regarding app quality, the maximum score belonged to GERDhelp (4.8/5). We found that most apps attempted to provide these features via features such as tracking diet and mood, sharing information with the caregiver, and visual aid, but none were able to provide all the features. Conclusion: Most applications aim to reduce or eliminate disease symptoms by a specific diet, change lifestyle, and solve gastric and gut issues. Despite the large number of people with GERD, there are no adequate mobile apps to aid patients with GERD. It appears necessary to develop a series of high-quality apps in all categories because none of them could provide all the features. [ABSTRACT FROM AUTHOR]

Background: Research conducted on mobile applications monitoring mental health has concluded that patients with mental disorders tend to use such applications to maintain mental health balance and applying technology may help manage and monitor issues like bipolar disorder. Objective: This study has been done to identify the necessities of designing a mobile application for bipolar disorder affected patients. Material and Methods: 1) Literature search, 2) analyzing existing mobile applications to examine their efficiency, 3) Interviewing patients with bipolar disorder to discover their needs, and 4) exploring the points of view of experts using a dynamic narrative survey. Results: Literature search and mobile application analysis resulted in 45 characteristics, which was later reduced to 30 after the experts were surveyed about the project. The characteristics included the following: mood monitoring, sleep schedule, energy level evaluation, irritability, speech level, communication, sexual activity, self-confidence level, suicidal thoughts, guilt, concentration level, aggressiveness, anxiety, appetite, smoking or drug-abuse, blood pressure, the patient's weight and the side effects of medication, reminders, mood data scales, diagrams or charts of the collected data, referring the collected data to a psychologist, educational information, sending feedbacks to patients using the application and standard tests for mood assessment. Considering the first phase analysis along with expert and patient views, the most and least important matters among them are mood tracking and a list of psychiatrists respectively. Conclusion: The present study has been conducted by identifying the necessities of applications intended for managing and monitoring bipolar patients to maximize efficiency and to subsequently minimize the relapse and side effects. [ABSTRACT FROM AUTHOR]