Omid Pournik
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View article: Enhancing Diagnostic Precision: Utilising a Large Language Model to Extract U Scores from Thyroid Sonography Reports
Enhancing Diagnostic Precision: Utilising a Large Language Model to Extract U Scores from Thyroid Sonography Reports Open
This study evaluates the performance of ChatGPT-4, a Large Language Model (LLM), in automatically extracting U scores from free-text thyroid ultrasound reports collected from University Hospitals Birmingham (UHB), UK, between 2014 and 2024…
View article: A Novel and Secure 3D Colour Medical Image Encryption Technique Using 3D Hyperchaotic Map, S-box and Discrete Wavelet Transform
A Novel and Secure 3D Colour Medical Image Encryption Technique Using 3D Hyperchaotic Map, S-box and Discrete Wavelet Transform Open
Over the past two decades, there has been a substantial increase in the use of the Internet of Medical Things (IoMT). In the smart healthcare setting, patients’ data can be quickly collected, stored and processed through insecure medium su…
View article: User Experience and Usability Evaluation of the CAREPATH Adaptive Integrated Care Platform
User Experience and Usability Evaluation of the CAREPATH Adaptive Integrated Care Platform Open
This study evaluates the user experience and usability of a web-based tool, AICP, that supports healthcare professionals in creating personalized care plans with the help of clinical decision support (CDS), using the System Usability Scale…
View article: Recent Advances in Generative Models for Synthetic Brain MRI Image Generation
Recent Advances in Generative Models for Synthetic Brain MRI Image Generation Open
With the use of artificial intelligence (AI) for image analysis of Magnetic Resonance Imaging (MRI), the lack of training data has become an issue. Realistic synthetic MRI images can serve as a solution and generative models have been prop…
View article: Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project
Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project Open
This study explores the relationship between user perceptions, as measured by the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, and actual usage patterns of the ADLIFE Digital Personalized Care Platform. Data w…
View article: Transforming Healthcare: The Role of Artificial Intelligence
Transforming Healthcare: The Role of Artificial Intelligence Open
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by enhancing diagnostic accuracy, personalising treatment strategies, and improving administrative efficiency. This study aims to evaluate the …
View article: Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT)
Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT) Open
The field of image processing is undergoing a significant transformation, driven by the advancements in vision-language models (VLMs) based on groundbreaking transformer architectures. With the expansion of Internet of Medical Things (IoMT…
View article: Patients vs. Healthcare Providers: A Comparative Analysis of Technology Acceptance Using the UTAUT Model
Patients vs. Healthcare Providers: A Comparative Analysis of Technology Acceptance Using the UTAUT Model Open
This study examines the differences in technology acceptance of electronic Patient Empowerment Platforms (PEP) and Personalised Care Plan Management Platforms (PCPMP) between two distinct user groups: patients/caregivers and healthcare pro…
View article: A novel transformer-based approach for cardiovascular disease detection
A novel transformer-based approach for cardiovascular disease detection Open
According to the World Health Organization, cardiovascular diseases (CVDs) account for an estimated 17.9 million deaths annually. CVDs refer to disorders of the heart and blood vessels such as arrhythmia, atrial fibrillation, congestive he…
View article: Understanding User Experiences on Patient Empowerment and Personalised Care Platforms: A Longitudinal Analysis Through the Extended UTAUT Model
Understanding User Experiences on Patient Empowerment and Personalised Care Platforms: A Longitudinal Analysis Through the Extended UTAUT Model Open
This study investigates the factors influencing the adoption and sustained use of the Patient Empowerment Platform (PEP) and Personalised Care Plan Management Platform (PCPMP) among patients and healthcare providers. Using the extended Uni…
View article: Preliminary Results on Improved Synthetic Image Generation for Melanoma Skin Cancer
Preliminary Results on Improved Synthetic Image Generation for Melanoma Skin Cancer Open
Advances in computer vision have shown interesting results in synthetic image generation. Diffusion models have shown promising outputs while generating realistic images from textual inputs like stable diffusion and Imagen. However, their …
View article: Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the characterisation and management of childhood brain tumours
Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the characterisation and management of childhood brain tumours Open
Background Childhood brain tumours, even though rare, present with significant diagnostic and treatment challenges. Radiomics involves feature extraction that is data-driven from standard imaging modalities, such as magnetic resonance imag…
View article: Leveraging Drools Workbench for Effective Clinical Decision Support System Design
Leveraging Drools Workbench for Effective Clinical Decision Support System Design Open
View article: Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning
Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning Open
Brain tumours are the most commonly occurring solid tumours in children, albeit with lower incidence rates compared to adults. However, their inherent heterogeneity, ethical considerations regarding paediatric patients, and difficulty in l…
View article: Deep Learning-Based Synthetic Skin Lesion Image Classification
Deep Learning-Based Synthetic Skin Lesion Image Classification Open
Advances in general-purpose computers have enabled the generation of high-quality synthetic medical images that human eyes cannot differ between real and AI-generated images. To analyse the efficacy of the generated medical images, this st…
View article: Advancing Healthcare Through Interoperability: Implementing Scalable Solutions for Patient Data Integration
Advancing Healthcare Through Interoperability: Implementing Scalable Solutions for Patient Data Integration Open
Healthcare faces significant challenges in exchanging and utilizing health information across diverse providers, necessitating innovative solutions for improved interoperability. This study presents a comprehensive exploration of scalable …
View article: INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support
INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support Open
Digital health solutions hold promise for enhancing healthcare delivery and patient outcomes, primarily driven by advancements such as machine learning, artificial intelligence, and data science, which enable the development of integrated …
View article: Developing a Help Desk Service for Enhanced Coordination in Health Informatics Projects: A Sharepoint and Power Automate Approach
Developing a Help Desk Service for Enhanced Coordination in Health Informatics Projects: A Sharepoint and Power Automate Approach Open
Healthcare projects necessitate effective collaboration between clinical and technical partners, particularly during pivotal phases like lab testing and piloting. However, challenges in coordination often impede seamless collaboration, lea…
View article: Transforming evidence-based clinical guidelines into implementable clinical decision support services: the CAREPATH study for multimorbidity management
Transforming evidence-based clinical guidelines into implementable clinical decision support services: the CAREPATH study for multimorbidity management Open
Introduction The CAREPATH Project aims to develop a patient-centered integrated care platform tailored to older adults with multimorbidity, including mild cognitive impairment (MCI) or mild dementia. Our goal is to empower multidisciplinar…
View article: The CAREPATH Study for Personalized Management of Multimorbidity in Elderly with Mild Cognitive Impairment and Mild Dementia
The CAREPATH Study for Personalized Management of Multimorbidity in Elderly with Mild Cognitive Impairment and Mild Dementia Open
Introduction: Multimorbidity is prevalent among older adults and is associated with cognitive impairment and dementia, increasing the need for innovative care solutions. The CAREPATH project, funded by the European Commission Horizon 2020 …
View article: Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks
Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks Open
Purpose: The rapid spread of the COVID-19 omicron variant virus has resulted in an overload of hospitals around the globe. As a result, many patients are deprived of hospital facilities, increasing mortality rates. Therefore, mortal…
View article: The Internet of Medical Things: Opportunities, Benefits, Challenges and Concerns
The Internet of Medical Things: Opportunities, Benefits, Challenges and Concerns Open
In this narrative review, we investigate the potential opportunities and benefits, as well as the challenges and concerns of integrating the Internet of Things in healthcare. The opportunities include enhanced patient monitoring and manage…
View article: How Interoperability Challenges Are Addressed in Healthcare IoT Projects
How Interoperability Challenges Are Addressed in Healthcare IoT Projects Open
The rapid development and implementation of Internet of Medical Things has made interoperability a serious challenge. In this scoping review, we provide an overview of the interoperability challenge, as reported in the health literature, a…
View article: Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis: A Systematic Review
Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis: A Systematic Review Open
CDSSs are being continuously developed and integrated into routine clinical practice as they assist clinicians and radiologists in dealing with an enormous amount of medical data, reduce clinical errors, and improve diagnostic capabilities…
View article: Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH
Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH Open
Technical and semantic interoperability are broadly used components of interoperability technology in healthcare. Technical Interoperability provides interoperability interfaces to enable data exchange within different healthcare systems, …
View article: Clinical Decision Support Systems for brain tumour diagnosis and prognosis: a systematic review
Clinical Decision Support Systems for brain tumour diagnosis and prognosis: a systematic review Open
The abnormal accumulation of cells in the human brain, if left untreated, may cause brain damage. Management and treatment of these tumours require an early and accurate diagnosis, while their prognostic characterisation can also be benefi…
View article: How Do Iranian Researchers Measure Spirituality in Health Studies? A Scoping Review
How Do Iranian Researchers Measure Spirituality in Health Studies? A Scoping Review Open
Many questionnaires have been used in spiritual health studies in the Iranian population. These questionnaires cover different subscales according to their theoretical base and the developers' perspectives. Researchers should be informed a…
View article: Preliminary report of Iranian Registry of Alzheimer's disease in Tehran province: A cross‐sectional study in Iran
Preliminary report of Iranian Registry of Alzheimer's disease in Tehran province: A cross‐sectional study in Iran Open
Background and Aims Alzheimer's disease (AD) is the main cause of dementia and over the 55 million people live with dementia worldwide. We aimed to establish the first database called the Iranian Alzheimer's Disease Registry to create a po…
View article: CAREPATH methodology for development of computer interpretable, integrated clinical guidelines
CAREPATH methodology for development of computer interpretable, integrated clinical guidelines Open
The process of developing a computer interpretable, integrated clinical guideline requires multiple considerations and decisions. As part of the CAREPATH project, a holistic approach to comorbidity has been adopted using an integrated clin…
View article: The design of a mobile platform providing personalized assistance to older multimorbid patients with mild dementia or mild cognitive impairment (MCI)
The design of a mobile platform providing personalized assistance to older multimorbid patients with mild dementia or mild cognitive impairment (MCI) Open
Management of multiple chronic conditions introduces demanding challenges for patients. This situation becomes more complex when multimorbidity is associated with dementia. In this paper, we present the design of a mobile Patient Empowerme…