Results 41 to 50 of about 5,148,966 (396)
Radiology-GPT: A Large Language Model for Radiology [PDF]
We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance compared to general language models such as ...
Zheng Liu+18 more
semanticscholar +1 more source
Presenters or Patients? A Crucial Distinction in Individual Health Assessments [PDF]
Individual health assessments (IHAs) for asymptomatic individuals provide a challenge to traditional distinctions between patient care and non-medical practice.
Schaefer, G. Owen
core +1 more source
It has been my good fortune to live and practice radiology during a long period of momentous change – to see the transformation of the discipline from a supportive service into a mainstream, essential branch of clinical medicine.
Alexander R. Margulis
doaj +1 more source
A Linguistic Approach to Aligning Representations of Human Anatomy and Radiology [PDF]
To realize applications such as semantic medical image search different domain ontologies are necessary that provide complementary knowledge about human anatomy and radiology. Consequently, integration of these different but nevertheless related types of
Manuel Mö+2 more
core +1 more source
Background/purpose: In Taiwan, the dental radiology has a history of more than 100 years. However, medical radiation schools or teaching hospitals have not yet established a set of standard learning content for dental radiology internship.
Feng-Chou Cheng+6 more
doaj
Background A growing body of evidence suggests that in the face of life adversity, threats, or other major stressful events, resilience is more conducive to individual adaptation and growth.
Lei Huang+7 more
semanticscholar +1 more source
With demand increasing each year for diagnostic imaging and imaging guided interventions, it is important for the radiology workforce to expand in line with need.
European Society of Radiology (ESR)
doaj +1 more source
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis [PDF]
Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks.
Ginley, Brandon+9 more
core +2 more sources
Approaches of dentomaxillofacial and medical radiologists about reporting
Objectives: Radiological reporting is a relatively new and challenging issue in dentomaxillofacial radiology, whereas it has been performed so many years in medical radiology.
Ozlem Üçok+2 more
doaj +1 more source
Background There is a lack of formal, published videofluoroscopic swallow study (VFSS) training targeting radiologists, yet radiology senior medical officers and resident medical officers (i.e., radiologists-in-training, known in Australia as “registrars”
Leah M. Coman+6 more
doaj +1 more source