Artificial Intelligence Medical Compendium

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

Showing 20,881 to 20,890 of 216,088 articles

Artificial intelligence model predicts malignant transformation of oral leukoplakia and optimizes interventions.

Oral oncology
PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamous cell carcinoma (OSCC). Despite its prevalence and variable malignant transformation rates, optima... read more 

Landscape fragmentation drives rice heavy-metal health risk and reveals actionable thresholds.

Journal of environmental management
The contamination of staple crops with heavy metals is predominantly assessed through a geochemical lens, treating farmland as a static container while overlooking the organizing influence of landscape structure. Here we advance a "landscape risk fil... read more 

Implementation of artificial intelligence to automate physical disector in a fractionator design for quantification of stem cell-derived neurons.

Computers in biology and medicine
Accurate quantification of stem cell-derived dopaminergic neurons is essential for advancing cell therapy strategies in Parkinson's disease (PD). Traditional manual stereological methods, while robust, are time-consuming and subject to interobserver ... read more 

Hyperpolarized 129Xe MRI Features Associated with Interstitial Lung Disease Identified Using an Interpretable Diagnostic Algorithm.

Academic radiology
RATIONALE AND OBJECTIVES: Hyperpolarized 129Xe magnetic resonance imaging and spectroscopy (MRI/MRS) have been used to identify numerous imaging and spectroscopic features that distinguish interstitial lung disease (ILD) from chronic obstructive pulm... read more 

Early diagnosis of Alzheimer's disease through handwriting analysis and deep learning: A review.

Journal of Alzheimer's disease : JAD
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders worldwide, requiring early identification for timely intervention and to slow disease progression. However, existing diagnostic approaches, while effective at later sta... read more 

Artificial Intelligence Applications in General Surgery in the United States of America: A Bibliometric Analysis.

Journal of laparoendoscopic & advanced surgical techniques. Part A
BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical practice, with applications spanning preoperative planning, intraoperative guidance, postoperative management, and surgical education. Despite accelerating research activity, t... read more 

Transparency, Ethical Framing, and User Agency as Determinants of Trust in AI-Mediated Assessment: Informing the Design of Trustworthy Systems.

Evaluation review
As artificial intelligence (AI) systems assume greater responsibility in educational assessment, questions surrounding fairness, transparency, and trust have become central to their ethical and pedagogical legitimacy. Yet, little empirical work has e... read more 

Influences of adverse childhood experiences and weekly pregnancy stress on postpartum mental health symptoms: a machine learning examination.

Archives of women's mental health
PURPOSE: The goal of this study was to understand how the timing, level, and fluctuation of pregnancy stress affected women's postpartum mental health while also considering their experiences of early life stress (adverse childhood events; ACEs). We ... read more 

Development of a machine learning-based prognostic prediction model and a web-based tool for pediatric hepatoblastoma: a Surveillance, Epidemiology, and End Results (SEER) database study.

Pediatric surgery international
BACKGROUND: Prognostic evaluation of pediatric hepatoblastoma (HB) remains challenging due to the low accuracy of traditional risk stratification models. This study aims to leverage the U.S. Surveillance, Epidemiology, and End Results (SEER) database... read more