Design and evaluation of a serious video game to treat preschool children with speech sound disorders.

Speech sound disorder (SSD) is one of the most common communication disorders in children, which must be diagnosed and treated in childhood to prevent its negative psychological, occupational, and social consequences in adulthood. The use of serious games is one technology that could help treat SSD. This study aims to design and evaluate the usability of a digital game for 3-6-year-old children.

Adaptation and Validation of the Persian Version of the Voice Handicap Index-10 (VHI-10).

Objectives: Voice disorders can profoundly impact health, quality of life, job performance, and social interactions. Traditional evaluations have expanded to include quality-of-life assessments, emphasizing self-reported outcomes. The Voice Handicap Index (VHI) stands out among relevant questionnaires, with the VHI-10 being a concise derivative.

Challenges and advantages of electronic prescribing system: a survey study and thematic analysis.

Introduction: Electronic prescribing (e-prescribing) systems can bring many advantages and challenges. This system has been launched in Iran for more than two years. This study aimed to investigate the challenges and advantages of the e-prescribing system from the point of view of physicians.

The Vocal Hygiene Treatment Programs for Singers: A Systematic Review.

Objectives: This systematic review aims to explore the effectiveness of voice health education interventions among singers, particularly focusing on vocal hygiene treatment programs tailored for professional voice users.

Study Design: Systematic review.

Methods: Preferred Reporting Items on Systematic Reviews and Meta-Analysis guidelines were followed to conduct this systematic review.

Adaptation and validation of the Persian Version of the Singing Voice Handicap Index-10 (SVHI-10).

Objectives: Singers' self-reporting of their voice problems can be helpful in the treatment of voice disorders by speech-language pathologists (SLP), which requires a valid questionnaire. This study was conducted to translate and validate the Singing Voice Handicap Index-10 (SVHI-10) questionnaire in the Persian language.

Methods: This cross-sectional study was conducted in two main steps (1) translation of the questionnaire and determination of face and content validity and (2) survey of singers.

Virtual Reality and Cardiac Diseases: A Systematic Review of Applications and Effects.

Introduction: Cardiac diseases have grown significantly in recent years, causing many deaths globally. Cardiac diseases can impose a significant economic burden on societies. The development of virtual reality technology has attracted the attention of many researchers in recent years.

The willingness and attitudes of speech-language pathologists towards the use of mobile health technology: a survey study.

Background: Mobile health (mHealth) technology could be used in different ways to treat various speech and language disorders. The attitude of speech-language pathologists (SLPs) towards this technology and their willingness to use it can play a significant role in the success of the therapies they provide. This study was conducted to investigate the willingness and attitude of SLPs towards the use of mHealth technology.

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.

Background: Detecting brain tumors in their early stages is crucial. Brain tumors are classified by biopsy, which can only be performed through definitive brain surgery. Computational intelligence-oriented techniques can help physicians identify and classify brain tumors.

Opportunities and challenges of virtual reality-based interventions for patients with breast cancer: a systematic review.

Background: Breast cancer is one of the most common cancers diagnosed worldwide and the second leading cause of death among women. Virtual reality (VR) has many opportunities and challenges for breast cancer patients' rehabilitation and symptom management. The purpose of this systematic review is to look into the benefits and drawbacks of VR interventions for breast cancer patients.

Artificial Intelligence Approaches on X-ray-oriented Images Process for Early Detection of COVID-19.

Background: COVID-19 is a global public health problem that is crucially important to be diagnosed in the early stages. This study aimed to investigate the use of artificial intelligence (AI) to process X-ray-oriented images to diagnose COVID-19 disease.

Methods: A systematic search was conducted in Medline (through PubMed), Scopus, ISI Web of Science, Cochrane Library, and IEEE Xplore Digital Library to identify relevant studies published until 21 September 2020.

Medical Informaticians' Skills and Competencies to Achieve Roles and Opportunities: A Qualitative Study.

For Medical Informatics graduates, there is no compatibility between the training knowledge and skills at universities and the job requirements. This study aimed to determine the skills and competencies requirements for medical informatics graduates and possible job positions in an emerging discipline. This qualitative study was conducted using a questionnaire developed by the researchers.

Evaluating the usability of a national health information system with heuristic method.

Background: Hospital Statistics and Information System is one of the most important health information systems in Iran used in all hospitals in this country. Usability problems can reduce the speed and precision of users when interacting with this system. This study aimed to identify the usability problems of a national health system called "AVAB".

An evaluation of the quality of COVID-19 websites in terms of HON principles and using DISCERN tool.

Background: As many people relied on information from the Internet for official scientific or academically affiliated information during the COVID-19 pandemic, the quality of information on those websites should be good.

Objective: The main purpose of this study was to evaluate a selection of COVID-19-related websites for the quality of health information provided.

Method: Using Google and Yahoo, 36 English language websites were selected, in accordance with the inclusion criteria.

Application of Digital Games for Speech Therapy in Children: A Systematic Review of Features and Challenges.

Introduction: Treatment of speech disorders during childhood is essential. Many technologies can help speech and language pathologists (SLPs) to practice speech skills, one of which is digital games. This study aimed to systematically investigate the games developed to treat speech disorders and their challenges in children.

Identifying a minimum data set as a necessity to design a web-based personal health record for patients under chronic dialysis.

Objective: Many people suffer from kidney disease, and self-management is essential in these patients. Personal health record (PHR) can be used as a tool to improve self-management in these patients. This study aimed to identify a minimum data set (MDS) of PHR in dialysis patients.

Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.

Purpose: Artificial intelligence (AI) techniques are used in precision medicine to explore novel genotypes and phenotypes data. The main aims of precision medicine include early diagnosis, screening, and personalized treatment regime for a patient based on genetic-oriented features and characteristics. The main objective of this study was to review AI techniques and their effectiveness in neoplasm precision medicine.

Telecardiology interventions for patients with cardiovascular Disease: A systematic review on characteristics and effects.

Introduction: The prevalence and mortality of cardiovascular diseases are high worldwide. Telecardiology can be used to diagnose and treat these diseases. This paper aimed to review the effectiveness (positive and negative) of implemented telecardiology services in terms of clinical, economic, and patient-reported aspects.

Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.

Background: Leukemia is fatal cancer in both children and adults and is divided into acute and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis of this disease can have a significant impact on the treatment of this disease.

Applying Game-Based Approaches for Physical Rehabilitation of Poststroke Patients: A Systematic Review.

Objective: A large number of patients need critical physical rehabilitation after the stroke. This study aimed to review and report the result of published studies, in which newly emerged games were employed for physical rehabilitating in poststroke patients.

Materials And Methods: This systematic review study was performed based on the PRISMA method.

Using data mining techniques to fight and control epidemics: A scoping review.

The main objective of this survey is to study the published articles to determine the most favorite data mining methods and gap of knowledge Since the threat of pandemics has raised concerns for public health, data mining techniques were applied by researchers to reveal the hidden knowledge. Web of Science, Scopus, and PubMed databases were selected for systematic searches. Then, all of the retrieved articles were screened in the stepwise process according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist to select appropriate articles.

The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review.

Wearable smart sensors are emerging technology for daily monitoring of vital signs with the reducing discomfort and interference with normal human activities. The main objective of this study was to review the applied wearable smart sensors for disease control and vital signs monitoring in epidemics outbreaks. A comprehensive search was conducted in Web of Science, Scopus, IEEE Library, PubMed and Google Scholar databases to identify relevant studies published until June 2, 2020.

Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.

Background And Objective: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) can help physicians to diagnose diseases quickly and accurately.