Association of Pain-Related Anxiety and Abdominal Muscle Thickness during Standing Postural Tasks in Patients with Non-Specific Chronic Low Back Pain.

Objective: The purpose of this study was to evaluate the association of pain-related anxiety on abdominal muscles thickness during standing postural tasks among individuals with chronic low back pain (CLBP).

Methods: We obtained responses to a pain-related anxiety symptoms questionnaire from 50 participants with CLBP. We then separated participants into high (11 men, 14 women) and low pain-related anxiety (13 men, 12 women) groups and compared assessments of their lateral abdominal muscles thickness during standing tasks on a computerized balance assessment device, using one static level and 2 movable levels (levels 6 and 3 are represented easy and difficult tasks respectively).

A decision support system to increase the compliance of diagnostic imaging examinations with imaging guidelines: focused on cerebrovascular diseases.

Objectives: Diagnostic imaging decision support (DI-DS) system has emerged as an innovative evidence-based solution to decrease inappropriate diagnostic imaging. The aim of the present study was to design and evaluate a DI-DS system for cerebrovascular diseases.

Methods: The present study was an applied piece of research.

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study.

Background: Providing appropriate specialized treatment to the right patient at the right time is considered necessary in cancer management. Targeted therapy tailored to the genetic changes of each breast cancer patient is a desirable feature of precision oncology, which can not only reduce disease progression but also potentially increase patient survival. The use of artificial intelligence alongside precision oncology can help physicians by identifying and selecting more effective treatment factors for patients.

DBGAN: Dual Discriminator Bayesian Generative Adversarial Network for Deformable MR-Ultrasound Registration Applied to Brain Shift Compensation.

During neurosurgical procedures, the neuro-navigation system's accuracy is affected by the brain shift phenomenon. One popular strategy is to compensate for brain shift using intraoperative ultrasound (iUS) registration with pre-operative magnetic resonance (MR) scans. This requires a satisfactory multimodal image registration method, which is challenging due to the low image quality of ultrasound and the unpredictable nature of brain deformation during surgery.

A Singular-Value-Based Map to Highlight Abnormal Regions Associated With Atrial Fibrillation Using High-Resolution Electrograms and Multi-Lead ECG.

Objective: The severity of atrial fibrillation (AF) can be assessed from intra-operative epicardial measurements (high-resolution electrograms), using metrics such as conduction block (CB) and continuous conduction delay and block (cCDCB). These features capture differences in conduction velocity and wavefront propagation, but ignore complementary properties such as the morphology of the action potentials. In this work, we focus on such complementary properties, and derive features to detect variations in the atrial potential waveforms.

Designing a Hybrid Method of Artificial Neural Network and Particle Swarm Optimization to Diagnosis Polyps from Colorectal CT Images.

Background: Since colorectal cancer is one of the most important types of cancer in the world that often leads to death, computer-aided diagnostic (CAD) systems are a promising solution for early diagnosis of this disease with fewer side effects than conventional colonoscopy. Therefore, the aim of this research is to design a CAD system for processing colorectal Computerized Tomography (CT) images using a combination of an artificial neural network and a particle swarm optimizer.

Method: First, the data set of the research was created from the colorectal CT images of the patients of Loghman-e Hakim Hospitals in Tehran and Al-Zahra Hospitals in Isfahan who underwent colorectal CT imaging and had conventional colonoscopy done within a maximum period of one month after that.

Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review.

Background: Diagnostic imaging decision support (DI-DS) systems could be effective tools for reducing inappropriate diagnostic imaging examinations. Since effective design and evaluation of these systems requires in-depth understanding of their features and functions, the present study aims to map the existing literature on DI-DS systems to identify features and functions of these systems.

Methods: The search was performed using Scopus, Embase, PubMed, Web of Science, and Cochrane Central Registry of Controlled Trials (CENTRAL) and was limited to 2000 to 2021.

A Hybrid Capsule Network for Automatic 3D Mandible Segmentation applied in Virtual Surgical Planning.

Automatic mandible segmentation of CT images is an essential step to achieve an accurate preoperative prediction of an intended target in three-dimensional (3D) virtual surgical planning. Segmentation of the mandible is a challenging task due to the complexity of the mandible structure, imaging artifacts, and metal implants or dental filling materials. In recent years, utilizing convolutional neural networks (CNNs) have made significant improvements in mandible segmentation.

Design and Evaluation of an Electronic Information Exchange System Connecting Laboratories and Physicians' Offices.

Laboratory services are a crucial part of medical care and contribute to physicians' treatment-related decision-making. However, paper-based information exchanges between physicians' offices and laboratories waste physicians' time and prevent them from using outpatient test results in a timely and effective manner. To solve this problem, improve the safety and quality of patient care, and save patients' time and energy, the present study developed a web-based system for electronic information exchange between laboratories and offices in Microsoft Visual Studio with the ASP.

Applications, features and key indicators for the development of Covid-19 dashboards: A systematic review study.

Introduction: Interactive dashboards can collect data from various information sources and be used nationally and internationally. These information systems have played an important role in managing and controlling epidemic diseases, especially Covid-19. This study aimed to identify the applications, features, and key indicators of advanced dashboards in Covid-19.

A Clinical Decision Support System for Increasing Compliance with Protocols in Chemotherapy of Children with Acute Lymphoblastic Leukemia.

Objective: In this survey, a protocol-based Chemotherapy Prescription Decision Support System (CPDSS) was designed and evaluated to reduce medication errors in the chemotherapy process of children with ALL.

Methods: The CPDSS algorithm was extracted by the software development team based on the protocol used by doctors to treat children with ALL. The ASP.

Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings.

Atrial fibrillation (AF) is the most sustained arrhythmia in the heart and also the most common complication developed after cardiac surgery. Due to its progressive nature, timely detection of AF is important. Currently, physicians use a surface electrocardiogram (ECG) for AF diagnosis.

Application of ICT in effective crisis management: A systematic review.

Introduction: Effective crisis management can reduce the costs and consequences of a crisis and has a significant impact on saving human lives in critical situations. Proper use of information and communication technologies (ICTs) can improve all crisis management phases and crisis communication cycles according to the needs of stakeholders. The purpose of this review article is to identify which ICTs have been used in effective crisis management and what managerial tasks they support.

Developing A General Framework for National Health Information Network for Developing Countries.

Background: The National Health Information Network (NHIN) is one of the key issues in health information systems in any country. However, the development of this network should be based on an appropriate framework. Unfortunately, the conducted projects of health information systems in the Ministry of Health of Iran do not fully comply with the concept of NHIN.

Emergency Department Quality Dashboard; a Systematic Review of Performance Indicators, Functionalities, and Challenges.

Introduction: Effective information management in the emergency department (ED) can improve the control and management of ED processes. Dashboards, known as data management tools, efficiently provide information and contribute greatly to control and management of ED. This study aimed to identify performance indicators quality dashboard functionalities, and analyze the challenges associated with dashboard implementation in the ED.

Functions and Outcomes of Personal Health Records for Patients with Chronic Diseases: A Systematic Review.

Introduction: The personal health record (PHR) makes it possible for patients to access, manage, track, and share their health information. By engaging patients in chronic disease care, they will be active members in decision-making and healthcare management.

Objectives: This study aimed to identify the functions and outcomes of PHR for patients with four major groups of chronic diseases (cardiovascular diseases, cancers, diabetes, and chronic respiratory diseases).

Developing a Model for National Health Information Governance Program in Iran.

With regard to the importance of health Information Governance (IG) programs in improving the quality and reducing the cost of healthcare services and the lack of a coherent health IG program in Iran's health system, this study aimed to develop a model for national health information governance program in Iran. The present research was an applied, cross-sectional descriptive study that was done in three steps, including literature review, development of a model for national health IG program in Iran, and model validation. In the third step, we used a questioner to validate the model through the Delphi method.

Seroprevalence of human hydatid cyst: a cross sectional study in a rural areas of Zahedan, southeastern Iran.

Hydatidosis or cystic echinococcosis (CE) is one of the most common zoonosis diseases. Iran is one of the endemic regions in terms of this disease. For the first time, the present study was conducted to determine the seroprevalence of hydatid cyst in Zahedan rural areas due to the importance of human CE and lack of information in this region.

Notifiable Diseases Surveillance System with a Data Architecture Approach: a Systematic Review.

Introduction: The wide range of notifiable diseases and the need for immediate reporting complicate the management of these diseases. Developing a surveillance system using precise architectural principles could ease the management of these diseases.

Aim: The present study reviews the data architecture of notifiable diseases surveillance systems to provide a basis for developing such systems.

The Effect of Information Technology on the Information Exchange between Laboratories and Ambulatory Care Centers: A Systematic Review.

Laboratory services form an integral part of medical care in the decision-making of physicians, including those working at ambulatory care centers. Information exchange is essential between ambulatory care centers and laboratories. Inevitable errors have always existed in the exchange of such information on paper, which can be to some extent avoided by developing appropriate computer-based interfaces.

PageRank: An alarming index of probable earthquake occurrence.

Here, we introduce PageRank (PR) in a seismic network as an appropriate alarming clue before the occurrence of the event to be worthwhile in hazard probabilistic evaluation of earthquakes. Studying PR changes of two main shocks in Iran and Italy by means of temporal and spatial windows reveals that their PR values increase drastically before the event, while there is no trend for other considered locations and/or other time intervals. Therefore, the PR value seems to be an appropriate index of a place induction by previous events and its susceptibility for having a new earthquake.

Characteristics of software used in self-management of vitamin K antagonist therapy: A systematic review.

Introduction And Goal: Currently, 1-2% of the population in developed countries are under treatment with oral anticoagulants. An appropriate strategy to deal with this increase in demand of treatment with oral anticoagulants and to manage the costs is the transfer of part or all of the responsibility for managing treatment to the patients. The use of information technology, particularly electronic health software, can be an appropriate method to improve the quality of self-management of treatment with these drugs.

Development of a Catheterization and Percutaneous Coronary Intervention Registry with a Data Management Approach: A Systematic Review.

Coronary catheterization is the gold standard for diagnosis and treatment of cardiovascular conditions. The development of a catheterization and percutaneous coronary intervention (CathPCI) registry considering key steps of data management has a pivotal role in coronary catheterization because it could help improve CathPCI approaches, develop equipment and devices, and minimize complications of the CathPCI procedure. Data management comprises data gathering, data processing, and information distribution.

Effects of chemotherapy prescription clinical decision-support systems on the chemotherapy process: A systematic review.

Objective: To carry out a systematic review of studies assessing the effects of chemotherapy prescription clinical decision-support systems (CDSSs) on the chemotherapy process.

Methods: Articles published in English before May 1, 2017 and indexed in the PubMed and Embase databases were reviewed systematically. Studies that focused on the effects of chemotherapy prescription CDSSs on the chemotherapy process were included in this research and reviewed.