Data about the quality of cancer information that chatbots and other artificial intelligence systems provide are limited. Here, we evaluate the accuracy of cancer information on ChatGPT compared with the National Cancer Institute's (NCI's) answers by...
Journal of the American College of Radiology : JACR
Mar 1, 2023
The multitude of artificial intelligence (AI)-based solutions, vendors, and platforms poses a challenging proposition to an already complex clinical radiology practice. Apart from assessing and ensuring acceptable local performance and workflow fit t...
Water science and technology : a journal of the International Association on Water Pollution Research
Mar 1, 2023
There are several methods for modeling water quality parameters, with data-based methods being the focus of research in recent decades. The current study aims to simulate water quality parameters using modern artificial intelligence techniques, to en...
Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outco...
Protein engineers are drawing on rapidly evolving machine learning tools, deep reservoirs of data, and the structure-predicting firepower of AlphaFold2 to pursue more sophisticated de novo protein designs.
The pressure to publish academic papers for career advancement and technological innovations have fostered the growth of a new phenomenon, the serial fabrication of articles to be submitted to scientific journals. Papers with fake content are produce...
Artificial intelligence applied to the standard Ecg (Ai-Ecg) is able to enormously enhance the performance of a diagnostic test that has been in use for over 100 years. The tool can in fact identify diseases, cardiac and non-cardiac, hidden or forese...
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