Artificial Intelligence Medical Compendium

PURPOSE: To evaluate the performance of a deep learning (DL) model based on graph isomorphism networks (GINs) for detecting glaucomatous visual field defects on 24-2 standard automated perimetry (SAP) and to compare it against traditional diagnostic ... read more 

BACKGROUND: Senescence plays a critical role in prostate cancer, influencing disease onset and progression. However, the alterations of senescence-associated genes during prostate cancer progression and their potential value in predicting disease adv... read more 

OBJECTIVE: In this study, we aimed to examine the responses given by ChatGPT (OpenAI), Copilot (Microsoft), and Gemini (Bard) artificial intelligence applications to questions about the active ingredient isotretinoin in terms of accuracy, readability... read more 

Radiology is experiencing rapid and interconnected change, including rising imaging volumes, expanding access demands, and the introduction of artificial intelligence into daily practice. However, many radiologists have limited exposure to structured... read more 

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The Zintl-Klemm concept has long been used to explain and predict the bonding, and thereby the structures, of crystalline solid-state materials. We apply this concept to the amorphous state, examining as an example the diverse disordered Na-P phases ... read more 

A better understanding of weight trajectories in liver transplant (LT) recipients is essential to improving clinical outcomes. We utilized Generative Artificial Intelligence (GenAI) to identify and visualize factors that exist but are not observable ... read more 

Accurate subcellular segmentation is crucial for understanding cellular processes, but traditional methods struggle with noise and complex structures. Convolutional neural networks improve accuracy but require large, time-consuming, and biased manual... read more 

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BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allocation in lumbar fusion surgery. This study aimed to identify the 20 most important variables for predicting prolonged postoperative length of stay (p... read more