Artificial Intelligence Medical Compendium

Mycotoxins, toxic secondary metabolites produced by fungi such as Aspergillus, Fusarium, and Penicillium, frequently contaminate food supplies, posing risks to human health, animal welfare, and ecosystem stability. Mycotoxins like aflatoxins, ochrato... read more 

Computer perception (CP) technologies are poised to deliver near real-time behavioral insights with high precision. As technical barriers recede, our field's ethical focus must shift from "Can we trust the data?" to "Should we use it here, and how?" ... read more 

Digital mental health tools-including telehealth, mobile applications, wearable devices, machine learning, and artificial intelligence-are changing the way patients and providers manage mental health care. This review summarizes the current research ... read more 

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AIMS: To evaluate the artificial intelligence-assisted lymphedema education material in patients undergoing breast cancer surgery. DESIGN: A comprehensive, successful methodological design was used to evaluate the portability of the expandable, AI-su... read more 

BACKGROUND AND OBJECTIVES: Neurofibromatosis type 2-related schwannomatosis ( NF2 -SWN) is marked by the growth of bilateral vestibular schwannoma (VS). VS size and tumor growth rate are not correlated with hearing modifications, making a hearing pre... read more 

PURPOSE: This investigation focused on developing a predictive clinical tool that combines biparametric MRI-derived PI-RADS v2.1 assessments with patient-specific biomarkers. The model was designed to optimize prostate cancer detection reliability in... read more 

OBJECTIVE: To develop and rigorously validate radiomics-based predictive models using postoperative intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) MRI for the early, noninvasive assessment of impaired renal allograft function (IRF... read more 

PURPOSE: Low-power (LP) chemical exchange saturation transfer (CEST) Z-spectra have significantly reduced confounding effects and enhanced peak resolvability, thereby improving the observation and quantification of various CEST effects. However, LP Z... read more 

The increasing availability of large image data sets and technical advances in the field of information technology have also greatly advanced the use of artificial intelligence (AI) in radiology in recent years. Especially in the field of abdominal M... read more