Publications by authors named "Jayanth Pratap"
Article Synopsis
- This study addresses challenges in determining accurate screw length during surgical fixation of complex distal radius fractures, emphasizing the risk of injuring the extensor pollicis longus with overly long screws.* -
- Researchers evaluated the anatomy of Lister's tubercle using 26 cadaveric arms and 198 CT scans, finding average measurements of 12.6 mm in length and 5.4 mm in width, with specific distances measured from the radial styloid.* -
- Understanding the anatomical details of Lister's tubercle can improve screw placement during surgeries, potentially leading to better patient outcomes in distal radius fracture treatments.*
Article Synopsis
- AI models for medical imaging need large and diverse datasets, which are hard to obtain due to privacy concerns and data sharing issues.
- Synthetic medical imaging data, generated by AI, can help address these shortages while allowing for new applications and professional training.
- However, using synthetic data raises challenges related to realism, evaluation of model performance, high costs, and the need for updated regulations to ensure ethical use, highlighting the importance of collaboration between regulatory bodies, physicians, and AI developers.
Background: The lay public is increasingly using ChatGPT (a large language model) as a source of medical information. Traditional search engines such as Google provide several distinct responses to each search query and indicate the source for each response, but ChatGPT provides responses in paragraph form in prose without providing the sources used, which makes it difficult or impossible to ascertain whether those sources are reliable. One practical method to infer the sources used by ChatGPT is text network analysis.
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