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Coronary artery disease diagnosis by integrating conformal prediction with a multi-objective evolutionary algorithm
Coronary artery disease diagnosis by integrating conformal prediction with a multi-objective evolutionary algorithm
Coronary artery disease (CAD) remains a major global health challenge due to its high mortality rate. This study aims to e...
Diffusion tensor imaging for deep brain stimulation in patients with parkinson’s disease
Diffusion tensor imaging for deep brain stimulation in patients with parkinson’s disease
Emerging evidence indicates white matter (WM) alterations in Parkinson’s disease (PD), potentially manifesting befor...
Improved dosimetric detection of ionizing radiation with gold-coated fiber optics
Improved dosimetric detection of ionizing radiation with gold-coated fiber optics
More than half of cancer patients undergoes radiation therapy regimen. Indeed, the accuracy of the delivered radiation dos...
Impact of scale point selection on absorbed dose estimation in hybrid dosimetry for Lu-DOTATATE therapy
Impact of scale point selection on absorbed dose estimation in hybrid dosimetry for Lu-DOTATATE therapy
Hybrid dosimetry, which combines planar imaging with single time-point SPECT/CT, reduces patient burden while maintaining ...
Time-variant tumor growth trajectory models for in silico randomized controlled trials for patients with early-stage non-small cell lung cancer in optimizing stereotactic body radiation therapy
Time-variant tumor growth trajectory models for in silico randomized controlled trials for patients with early-stage non-small cell lung cancer in optimizing stereotactic body radiation therapy
Applying new treatments to real patients to verify therapeutic efficacy may induce various risks, such as critical adverse...
Cognitive feature evaluation for disease progression in dementia and its precursors using feature selection
Cognitive feature evaluation for disease progression in dementia and its precursors using feature selection
Dementia is a condition with symptoms of memory decline, cognitive impairment, and difficulties in language and problem-so...
Optimized and interpretable machine learning framework for early breast cancer detection
Optimized and interpretable machine learning framework for early breast cancer detection
Breast cancer is one of the most common causes of mortality in women globally, and early detection markedly enhances treat...
Innovations in artificial intelligence to minimize diagnostic error - a comparison with human interpretation of chest radiographs in the clinical context: a scoping review
Innovations in artificial intelligence to minimize diagnostic error - a comparison with human interpretation of chest radiographs in the clinical context: a scoping review
Chest radiography remains the primary imaging modality for the evaluation of suspected pulmonary and mediastinal diseases,...
Tokenization of electronic health records and healthcare data: enhancing security and privacy while enabling usability
Tokenization of electronic health records and healthcare data: enhancing security and privacy while enabling usability
The purpose of this paper is to examine the role of tokenization in protecting Electronic Health Records (EHRs) and health...
An improved method for automated measurement of laser alignment using the ACR CT phantom
An improved method for automated measurement of laser alignment using the ACR CT phantom
Previous algorithms for measuring laser alignment in the American College of Radiology (ACR) computed tomography (CT) phan...
Correction of gantry tilt measurement using phantom tilt on axial CT imaging
Correction of gantry tilt measurement using phantom tilt on axial CT imaging
This study aims to introduce a new method for measuring phantom tilt and to improve the accuracy of gantry tilt measuremen...
Examining the role of AI in cancer imaging through the lens of clinical studies
Examining the role of AI in cancer imaging through the lens of clinical studies
The use of artificial intelligence (AI) in radiological applications is continuously increasing, making AI tools entrenche...
The implications of artificial intelligence in clinical healthcare: a scoping review on regulatory challenges up to 2023
The implications of artificial intelligence in clinical healthcare: a scoping review on regulatory challenges up to 2023
The past few years have seen a rapid growth of artificial intelligence (AI) in healthcare. However, only a few application...
Multimodal machine learning for Parkinson’s disease diagnosis and genetic subtyping
Multimodal machine learning for Parkinson’s disease diagnosis and genetic subtyping
Parkinson’s disease (PD) is a complex neurodegenerative disorder influenced by genetic, clinical, and lifestyle fact...
Twelve-month pilot study on wearables to enhance health and quality of life in older adults
Twelve-month pilot study on wearables to enhance health and quality of life in older adults
Engagement in physical and social activities is crucial for successful aging. This study evaluates fall probability, quali...
Leveraging deep learning for early diagnosis of Alzheimer’s disease via brain MRI imaging
Leveraging deep learning for early diagnosis of Alzheimer’s disease via brain MRI imaging
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory los...
Establishment and utilization of diagnostic reference level for interventional procedures for adult patients in Ghana
Establishment and utilization of diagnostic reference level for interventional procedures for adult patients in Ghana
In recent years various international organisations including IAEA, ICRP, and EURATOM consider interventional rad...
Digital contact tracing technology in the COVID-19 pandemic: a systematic review
Digital contact tracing technology in the COVID-19 pandemic: a systematic review
The COVID-19 pandemic prompted public health teams across the world to emphasize case identification, contact tracing, and...
AI-powered clinical trials and the imperative for regulatory transparency and accountability
AI-powered clinical trials and the imperative for regulatory transparency and accountability
The transformative impact of Artificial intelligence (AI) on clinical trials is explored. To identify the potential benefi...
Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers
Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers
Stress is widespread in the modern world. It is a complex fusion of psychological and physiological tension that leads to ...
COVID-19’s impact on drug overdose fatalities and urgent mental health care demand in the US
COVID-19’s impact on drug overdose fatalities and urgent mental health care demand in the US
The purpose of this study is to scrutinize the repercussions of the COVID-19 pandemic on the incidence of drug overdose fa...
Dose prediction model and cancer risk estimation as quality check in multi-detector computed tomography
Dose prediction model and cancer risk estimation as quality check in multi-detector computed tomography
Due to the health risks associated with radiation exposure, the radiology community currently controls and tracks the radi...
Physical and mechanical properties of cellulose based hemostatic agents: an in vitro comparison
Physical and mechanical properties of cellulose based hemostatic agents: an in vitro comparison
Cellulose based hemostatic agents have been widely applied in various surgical specialties and play an important role on a...
Digital signatures in electronic health records: a scoping review
Digital signatures in electronic health records: a scoping review
This scoping review sought to understand the current knowledge on using digital signatures in implemented electronic healt...
Nanotechnology based materials and inventions to fight against COVID-19: recent progress in the development of robust diagnostics, surveillance tools, therapeutics and vaccines
Nanotechnology based materials and inventions to fight against COVID-19: recent progress in the development of robust diagnostics, surveillance tools, therapeutics and vaccines
Outbreak of SARS-CoV2 and the COVID-19 pandemic had posed a threat to the healthcare system. The world had witnessed the f...
Performance of ChatGPT on basic healthcare leadership and management questions
Performance of ChatGPT on basic healthcare leadership and management questions
ChatGPT is an LLM-based chatbot introduced in 2022. This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 o...
A comparative study between MC simulation and TLD measurements of radiation doses to other parts of the body during gynaecological brachytherapy
A comparative study between MC simulation and TLD measurements of radiation doses to other parts of the body during gynaecological brachytherapy
The study of long-term radiation effects has become important due to the growing survival rates among cancer patients. Bra...
The acceptability of technology-enabled physical activity feedback in cardiac patients and health care professionals
The acceptability of technology-enabled physical activity feedback in cardiac patients and health care professionals
Physical activity is a key component of cardiac rehabilitation (CR). Despite the widely reported benefits of CR, uptake in...
Unsupervised generative learning-based decision-making system for COVID-19 detection
Unsupervised generative learning-based decision-making system for COVID-19 detection
The study aims to develop an unsupervised framework using COVGANs to learn better visual representations of COVID-19 from ...
Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients
Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients
The continuous evolution of SARS-CoV-2 and possible future pandemics have risen concerns relevant to the effectiveness of ...
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