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Language profile in different kinds of apraxia in post-stroke patients
BackgroundStroke affects all aspects of communication of patients by causing disorders of motor control (dysarthria or apraxia) or language...
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Diurnal variation of major error rates in the interpretation of abdominal/pelvic CT studies
Rationale and objectiveVariation of visual selective attention through the day has been demonstrated in several arenas of human performance,...
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Hospital doctors’ and general practitioners’ perspectives of outpatient discharge processes in Australia: an interpretive approach
BackgroundUnnecessary delays in patient discharge from hospital outpatient clinics have direct consequences for timely access of new patients and the...
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Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing
BackgroundStructured reporting (SR) is recommended in radiology, due to its advantages over free-text reporting (FTR). However, SR use is hindered by...
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Longitudinal study of primary progressive aphasia in a patient with pathologically diagnosed Alzheimer’s disease: a case report
BackgroundAlzheimer’s disease is a neurodegenerative disease involving the deposition of pathologic amyloid-β and tau protein in the cerebral cortex....
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Spelling and Autism: a Narrative Review of Recent Developments and Directions for New Research Priorities
Purpose of ReviewThis review provides a critical overview of recent research on spelling and autism, highlighting developments and future research...
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Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper
Despite technological advances in the analysis of digital images for medical consultations, many health information systems lack the ability to...
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Can ChatGPT write radiology reports?
These case examples exemplify the utility of ChatGPT in augmenting the radiology report drafting process, thereby contributing to the efficiency of...
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The future landscape of large language models in medicine
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial...
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Structured reporting in radiology: a systematic review to explore its potential
ObjectivesStructured reporting (SR) in radiology reporting is suggested to be a promising tool in clinical practice. In order to implement such an...
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Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey
PurposeThe purposes of the study was to describe the degree of agreement between geriatricians with the answers given by an AI tool (ChatGPT) in...
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Physician experience with the Epic electronic health record (EHR) system: longitudinal findings from an emergency department implementation
ObjectivesIn June 2019, The Ottawa Hospital launched the Epic electronic health record system, which transitioned all departments from a primarily...
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Frequency and phenotype of thalamic aphasia
BackgroundAphasia is a recognized presenting symptom of thalamic lesions. Little is known regarding its frequency and phenotype. We examined the...
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Numerical activities of daily living: a short version
Specific impairments in numerical functions may cause severe problems in everyday life that cannot be inferred from the available scales evaluating...
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Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems
The benefits of structured reporting (SR) in radiology are well-known and have been widely described. However, there are limitations that must be...
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Improved language function for post-stroke aphasia in the long term following repeated repetitive transcranial magnetic stimulation and intensive speech-language-hearing therapy: a case report
BackgroundThere have been no papers reporting improvement in language function and changes in cerebral blood flow following repeated use of...
