Mandating limits on workload, duty, and speed in radiology
Research has not yet quantified the effects of workload or duty hours on the accuracy of
radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak …
radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak …
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
Should artificial intelligent agents be your co-author? Arguments in favour, informed by ChatGPT
MJ Polonsky, JD Rotman - Australasian Marketing Journal, 2023 - journals.sagepub.com
Academics have long relied on technological tools to support their research, with these tools
growing in sophistication over time. As these tools have advanced, they have allowed …
growing in sophistication over time. As these tools have advanced, they have allowed …
Cervical net: A novel cervical cancer classification using feature fusion
Cervical cancer, a common chronic disease, is one of the most prevalent and curable
cancers among women. Pap smear images are a popular technique for screening cervical …
cancers among women. Pap smear images are a popular technique for screening cervical …
PubMed and beyond: biomedical literature search in the age of artificial intelligence
Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
Automated contouring and planning in radiation therapy: what is 'clinically acceptable'?
Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
treatment planning in radiotherapy are expected to assess clinical acceptability of these …
Machine learning and deep learning applications in multiple myeloma diagnosis, prognosis, and treatment selection
Simple Summary Multiple myeloma is a malignant neoplasm of plasma cells with complex
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …
[HTML][HTML] Breaking bias: the role of artificial intelligence in improving clinical decision-making
C Brown, R Nazeer, A Gibbs, P Le Page, ARJ Mitchell - Cureus, 2023 - ncbi.nlm.nih.gov
This case report reflects on a delayed diagnosis for a 27-year-old woman who reported
chest pain and shortness of breath to the emergency department. The treating clinician …
chest pain and shortness of breath to the emergency department. The treating clinician …
Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy
RJ Gertz, T Dratsch, AC Bunck, S Lennartz, AI Iuga… - Radiology, 2024 - pubs.rsna.org
Background Errors in radiology reports may occur because of resident-to-attending
discrepancies, speech recognition inaccuracies, and large workload. Large language …
discrepancies, speech recognition inaccuracies, and large workload. Large language …
Improving radiology workflow using ChatGPT and artificial intelligence
I Mese, CA Taslicay, AK Sivrioglu - Clinical Imaging, 2023 - Elsevier
Artificial Intelligence is a branch of computer science that aims to create intelligent machines
capable of performing tasks that typically require human intelligence. One of the branches of …
capable of performing tasks that typically require human intelligence. One of the branches of …