RSNA unveils the 10 most cited Radiology studies of 2023
The Radiological Society of North America (RSNA) has released a list of the 10 most-cited academic papers published this year in its 100-year old journal, Radiology.
The list provides insight into what is currently popular in the world of imaging, both in terms of what researchers are working on and what the media is covering.
The following studies in Radiology were cited the most in 2023:
- ChatGPT and Other Large Language Models Are Double-edged Swords.
- ChatGPT and the Future of Medical Writing.
- ChatGPT Is Shaping the Future of Medical Writing But Still Requires Human Judgment.
- Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study.
- Supplemental Breast Cancer Screening in Women with Dense Breasts and Negative Mammography: A Systematic Review and Meta-Analysis.
- Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT.
- FAPI PET: Fibroblast Activation Protein Inhibitor Use in Oncologic and Nononcologic Disease.
- Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects.
- AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial.
- Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.
The list suggests ChatGPT, and its underlying AI model GPT-4, are dominating research trends—at least in terms of what people are talking about. The chatbot developed by OpenAI is very popular with seemingly everyone, boasting 185 million users as of December 2023.
At this year’s RSNA annual meeting in Chicago, AI and its growing number of applications and vendors was a major focus of sessions on the conference show floor, many of which were related to emerging research.
The announcement from RSNA offers additional details, including a list of the most downloaded research papers. You can read more here.