Results 231 to 240 of about 272,016 (336)
Artificial Intelligence Integration in Radiation Therapy Education: A Multi‐Modal Approach
Three artificial intelligence (AI) innovations were implemented in a radiation therapy degree to address a 130% enrolment increase. Students (n = 62) evaluated AI video lectures, assessment feedback, and communication simulations. Students strongly preferred AI for practice‐based learning over assessment, with communication simulations receiving 100 ...
Laura Feighan +3 more
wiley +1 more source
Optical phantom for resolution evaluation of non-contact corneal microscopy techniques. [PDF]
Marcelino K +9 more
europepmc +1 more source
This review highlights the role of functional imaging in sparing cognitive brain regions during glioma radiotherapy. It shows promising dose reduction without compromising target coverage, but evidence remains limited, requiring standardisation and prospective validation.
Li Wen Yeo, John T. Ryan
wiley +1 more source
Clinical practice guideline for long COVID prevention and treatment. [PDF]
Cao B +34 more
europepmc +1 more source
This systematic review and meta‐analysis synthesised FDG PET/MRWE biomarkers in cervical cancer, including a pooled analysis of the association between metabolic activity (SUV‐based metrics) and tumour diffusion characteristics (ADC measures). Prognostic evidence from the included studies was also analysed to identify PET‐ and MRI‐based parameters, as ...
William Wei +2 more
wiley +1 more source
Severe Thrombocytopenia and Leukopenia as the Initial Manifestations of Brucella melitensis Bacteremia: A Case Report. [PDF]
Pico Mendoza C +4 more
europepmc +1 more source
A research partnership model frames university–clinical collaboration as central to strengthening medical radiation sciences research capacity. By aligning students, academics, clinicians, resources, ethics processes, skills development and outputs, the model supports sustainable, evidence‐informed practice with potential benefits for patients and ...
Therese Gunn +3 more
wiley +1 more source
This systematic review summarizes current evidence on machine and deep learning algorithms for MRI‐based cervical cancer segmentation, demonstrating promising diagnostic performance and potential for workflow automation. However, methodological heterogeneity, limited external validation, and low certainty of evidence highlight the need for standardized
Somayeh Haji Ahmadi +3 more
wiley +1 more source
Access in all areas? A round-up of developments in market access and health technology assessment: first Joint Clinical Assessment report released. [PDF]
Ramagopalan SV, Pannelay AJ.
europepmc +1 more source

