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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 ...
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...
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...
Gamification Integration in Technological Devices for Motor Rehabilitation in Parkinson Disease: Scoping Review
Gamification Integration in Technological Devices for Motor Rehabilitation in Parkinson Disease: Scoping Review
Background: Parkinson's disease (PD) is a rapidly growing neurological condition worldwide. While physiotherapy and e...
FITLIGHT Training and Its Influence on Visual-Motor Reactions and Dribbling Speed in Female Basketball Players: Prospective Evaluation Study
FITLIGHT Training and Its Influence on Visual-Motor Reactions and Dribbling Speed in Female Basketball Players: Prospective Evaluation Study
Background: Basketball exists as a team-based sport played on a court involving intense physical demands because players n...
A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis
A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis
Background: Accumulating evidence and medical guidelines recommend high-dose neurorehabilitation for recovery after stroke...
A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study
A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study
Background: Aging can bring upon several effects that can hinder one's quality of life. One of the effects is the dec...
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study
Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study
Background: Social media is acknowledged by regulatory bodies (eg, the Food and Drug Administration) as an important sourc...
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study
Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study
Background: The increasing use of secure messaging in medical centers has led to concerns about alert fatigue and the impa...