Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 52,841 to 52,850 of 225,341 articles

Predicting Attrition in a Public Nutrition Education Program: A Machine Learning Approach.

Journal of nutrition education and behavior
OBJECTIVE: To develop a machine learning model to identify adult Expanded Food and Nutrition Education Program (EFNEP) participants at high risk of attrition using preprogram data. DESIGN: Secondary data analysis. PARTICIPANTS: A total of 339,335 adu... read more 

Diagnostic-Mediated Interactive Superlattices Engineering for Threshold-Saltatory Visual Assessment of Tuberculous Meningitis.

ACS nano
Nonlinear dynamic monitoring is crucial for assessing l-tryptophan (l-Trp) dysregulation progression in tuberculous meningitis (TBM); yet remains challenging due to conventional sensing probes' inherent nondirectionality and poor interfacial response... read more 

Opportunistic osteoporosis screening using CT-based Hounsfield units: a machine learning approach for preoperative spine surgery planning.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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Artificial intelligence and machine learning for precision warfarin dosing: a comprehensive narrative review.

European journal of clinical pharmacology
BACKGROUND: Warfarin remains one of the most widely used anticoagulants; however, its narrow therapeutic index means that even small dosing deviations can result in thromboembolic or bleeding events, necessitating close monitoring and strict control ... read more 

Using Machine Learning to Identify Infant and Child Environmental and Biological Predictors of Callous-Unemotional Traits.

Research on child and adolescent psychopathology
Callous-unemotional (CU) traits (i.e., blunted affect, low guilt) develop through the interplay of neurophysiological and environmental factors. However, critical gaps remain in understanding the relative importance of different physiological systems... read more 

Simulation and optimization of multiple permeable reactive barriers (multi-PRBs) for acid mine drainage (AMD) based on machine learning.

Environmental geochemistry and health
Multiple permeable reactive barriers (multi-PRBs) are an effective in-situ technology for acid mine drainage (AMD) treatment. However, their practical implementation is hindered by unclear mechanisms and a lack of decision models. In this study, a co... read more 

Remote sensing analysis of forest fire impacts on ecosystem productivity, greenhouse gas emissions, and fire risk in Pakistan.

Carbon balance and management
This study investigates the spatial variability of forest fire intensity, burn indices, ecosystem productivity, and Greenhouse Gas (GHG) emissions in Pakistan from 2001 to 2023. Using satellite-derived burn indices such as SAVI, LST, NMDI, LSWI, NBR,... read more 

Interpretable deep learning model of circulating genomics for quantitative survival prediction in advanced non-small cell lung cancer.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
PURPOSE: Accurate quantitative survival prediction in advanced non-small cell lung cancer (NSCLC) remains an unmet clinical need. While liquid biopsy is widely used, single circulating tumor DNA (ctDNA) shows limited predictive power. We developed an... read more 

Nanoparticle approaches for hepatitis therapy and clinical translation.

Discover nano
BACKGROUND: Hepatitis B and C viruses (HBV and HCV) remain major global health challenges, contributing significantly to liver-related morbidity and mortality worldwide. Although direct-acting antivirals (DAAs) have improved patient outcomes, key lim... read more