Results 101 to 110 of about 7,037,660 (293)
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
A Review of Molecular Imaging Applications and Challenges in Robotic Precision Surgery [PDF]
Background: Molecular imaging is transforming medical diagnostics by providing insights into diseases at the molecular and cellular levels. This field merges advanced imaging technologies with molecular probes to visualize and quantify specific molecular
Fatemeh Mazaheri, Marziyeh Tahmasbi
doaj
Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique [PDF]
The hydrocephalus can be either an independent disease or a concomitant symptom of a number of pathologies, therefore representing an urgent issue in the present-day clinical practice. Deep Learning is an evolving technology and the part of a broader field of Machine Learning.
arxiv
Abstract The thermoluminescence dosimeter (TLD) sheet is a measurement device coated with manganese‐doped LiB3O5 in sheet form. The sheet is 0.2‐mm thick and flexible. Hence, it can fit and be installed on irregular surfaces. The current study aimed to evaluate the feasibility of measuring patient surface doses during radiation therapy using TLD sheets.
Yuya Miyasaka+8 more
wiley +1 more source
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models [PDF]
Computer-aided diagnosis systems hold great promise to aid radiologists and clinicians in radiological clinical practice and enhance diagnostic accuracy and efficiency. However, the conventional systems primarily focus on delivering diagnostic results through text report generation or medical image classification, positioning them as standalone ...
arxiv
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan+7 more
wiley +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch+13 more
wiley +1 more source
The aim of the current study was to synthesize polyvinyl alcohol Cuprous Oxide composite films (PVA/Cu2O) for radiation detection depending on optical changes.
Mohammed Ahmed Ali Omer+1 more
doaj
Test Sensitivity in the Computer-Aided Detection of Breast Cancer from Clinical Mammographic Screening: a Meta-analysis [PDF]
Objectives: To assess evaluative methodologies for comparative measurements of test sensitivity in clinical mammographic screening trials of computer-aided detection (CAD) technologies. Materials and Methods: This meta-analysis was performed by analytically reviewing the relevant literature on the clinical application of computer-aided detection (CAD ...
arxiv
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut+2 more
wiley +1 more source