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Feasibility of patient weight-based size-specific dose estimates for pediatric CT: a comparison with water-equivalent diameter
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Development and physicochemical characterisation of a biodegradable Ho-166-polycaprolactone rod formulation for targeted theragnostic radiation therapy of liver tumours
Liver cancer incidence and mortality are projected to rise by 63.1% and 66.6%, respectively, by 2045. Treatment options fo...
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Correction to: Longitudinal quality control analysis of PET/CT systems: analyzing system stability, image quality, and the performance of silicon photomultipliers (SiPMs)
Physical Sciences and Engineering, Innovative Research, and Applied Physics (IRAP), Faculty of Sciences, Moulay, Ismail Un...
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Development of balloon-based vaginal molding method for custom cylinder applicator in intracavitary brachytherapy
This study aims to evaluate a balloon-based method for improving shape uniformity and procedural efficiency in intracavita...
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-Validation and reliability of knee kinematics and gait analysis using flexible wearable sensors
Knee kinematics assessments are essential in healthcare, particularly in sports medicine, for evaluating joint motion. Whi...
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Performance testing of dose calibrator and SPECT imaging system in use at a nuclear medicine department
Single Photon Emission Computed Tomography (SPECT) is a nuclear medicine imaging technique that allows for the three-dimen...
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The Estimation of the accuracy of surface-guided radiotherapy with breast deformation
Breast edema is the most commonly observed toxicity during radiotherapy treatment. The advantage of surface-guided radioth...
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A comparative analysis of YOLO models for efficient lung tumor detection using CT images
Lung cancer remains one of the leading causes of cancer-related deaths, emphasizing the need for precise and effective det...
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Telehealth strategies and emergency department demand: a scoping review
Emergency department (ED) overcrowding is a global challenge exacerbated by rising patient demand and inefficient care pat...
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Forecast trend of artificial intelligence and machine learning technology: prospects and implications in the field of gastrointestinal endoscopy
Artificial intelligence and machine learning have been introduced in the medical field for diagnostic and therapeutic purp...
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Efficacy of different high dose rate interstitial brachytherapy for tongue cancer: a systematic review
The study evaluates treatment outcomes of oral tongue cancer patients treated with different high dose rate brachytherapy ...
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Dosimetric comparison of the BNCT treatment planning performances when using a nnU-NET to automatically segment Glioblastoma Multiforme
This work presents a preliminary evaluation of the use of the convolutional neural network nnU-NET to automatically contou...
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Accurate voxel S-value calculation for internal dosimetry of 68Ga-PSMA: comparison of XCAT phantom and personalized methods
68Ga-PSMA PET/CT is widely used for prostate cancer management, but minimizing patient radiation exposure remains a key co...
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Advances of artificial intelligence-enabled epigenetics
This review explores the integration of artificial intelligence (AI) with epigenetics to advance understanding of gene exp...
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Digital nudging in digital health technologies: a systematic review
The use of digital health technologies (DHT) combined with digital nudging is rapidly growing. Digital nudges have the pot...
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Leveraging digital technologies to enhance patient safety
This study aims to examine how digital technologies can be safely and effectively integrated into clinical practice to enh...
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Implementation and clinical management status of smart care and smart technology systems in Shandong Province, China: a multicentre cross-sectional study
The development and use of smart care and smart technology are increasing, but their clinical application at a low level w...
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Environmental impacts of artificial intelligence in health care: considerations and recommendations
Anthropogenic resource use contributes to pollution, violent conflict over scarce resources, loss of biodiversity, and dim...
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Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
Laser markers installed on the walls and ceiling of the bunker are usually used for patient positioning in radiotherapy. T...
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Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
This paper conducts an extensive literature review to examine the applications of Brain-Computer Interface (BCI) technolog...
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Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function
Medical images are crucial to monitor a patient’s health and provide an accurate diagnosis. Medical photos typically...
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Health disparity in digital health technology design
The rapid development of digital health technology has transformed the current medical practice. However, lack of consider...
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Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
Emerging and re-emerging viral infections are accountable for fatal outbreaks across the globe. In the light of the COVID-...
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Analyzing third-party data leaks on online pharmacy websites
With digitalization, using essential digital services such as online services has become increasingly common. These servic...
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Training protocol for driving power wheelchairs using virtual environment: preliminary results from a pilot study
Despite the advancements in power wheelchair simulators, there is still a lack of standardized tests to determine a user...
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Assessing ASPECTS and ICH score reliability on NCCT scans via SMART INDIA App and PACS by neurologists and neuro-radiologists
Inter-rater reliability is a critical aspect of stroke image interpretation. This study aims to investigate inter-rater re...
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Awareness and knowledge on breast cancer screening among reproductive aged women in some parts of Ghana
Breast cancer is the commonest cancer and the leading cause of cancer deaths among women. However, information about breas...
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Validation of an in-house developed therapeutic dosimetric software tool for the treatment of 177Lutetium-DOTATATE peptide receptor radionuclide therapy
Computer software for absorbed dose quantification has been used widely in nuclear medicine. Different software t...
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Multiple thoracic diseases detection from X-rays using CX-Ultranet
Recent developments in deep learning have demonstrated impressive performance in accurately identifying individual disease...
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Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Parkinson’s disease (PD) is one of the most prevalent neurodegenerative diseases in the global context. The...
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