Artificial Intelligence Medical Compendium

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

Showing 12,261 to 12,270 of 210,314 articles

The governance of health data in the AI era: a scoping review and computational topic model of the global research landscape.

JAMIA open
BACKGROUND: The integration of artificial intelligence (AI) into health care is critically dependent on vast quantities of patient data, igniting an urgent global debate on data ownership, privacy, and governance. While numerous perspectives exist, t... read more 

Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department.

European heart journal. Digital health
AIMS: Emergency department overcrowding, especially in cardiac units, delays care and raises mortality. Conventional triage is error-prone. We developed an AI-based model integrating routine data and automated ECGs to improve early risk classificatio... read more 

Integrated multi-stage screening assisted discovery and optimization of spirooxindole MDM2 inhibitors.

Journal of molecular graphics & modelling
The rational design of novel MDM2 inhibitors with superior biochemical properties represents the most consequential outcome of contemporary computer-aided drug discovery. Here, we report the discovery of spirooxindole-based p53-MDM2 interaction antag... read more 

Machine learning identification of maternal inflammatory response and systemic inflammatory response from placental membrane whole slide images.

Placenta
INTRODUCTION: The placenta forms a critical barrier to infection through pregnancy, labor and, delivery. Acute placental inflammation in the membranes, diagnosed as Maternal Inflammatory Response (MIR), has short-term, and long-term consequences for ... read more 

Gated edge-node interaction graph convolutional network for ADHD classification.

Journal of neural engineering
Objective.Attention deficit hyperactivity disorder (ADHD) remains challenging to diagnose objectively and often relies on subjective clinical assessments. Although graph neural network-based methods have been widely used for ADHD identification, most... read more 

An Automated Framework and Medical Intelligent System for MRI-Based Alzheimer's Diagnosis Classification.

Journal of imaging informatics in medicine
In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnetic resonance imaging (MRI) at accurate times and with precision to make effective clinical interventions. Nevertheless, classification is still proble... read more 

Machine learning outperforms serum creatinine for early risk stratification of hepatorenal syndrome: a prospective single-center validation.

Hepatology international
BACKGROUND: The early diagnosis of hepatorenal syndrome (HRS) is constrained by the reliance on serum creatinine, a biomarker with well-documented limitations in sensitivity and timeliness, contributing to diagnostic delays and adverse outcomes. Mach... read more 

When the Algorithm Speaks: A Case for Simulation-Based Training in Communicating Artificial Intelligence-Generated Prognostic Outputs in Oncology.

Journal of cancer education : the official journal of the American Association for Cancer Education
Artificial intelligence prognostic tools are now embedded in routine oncology workflows, generating recurrence risk scores and survival estimates that clinicians must communicate to patients who did not ask to receive them from a machine. This paper ... read more 

Interpretable machine learning to predict postoperative adverse outcomes in cardiac surgery.

BMC anesthesiology
BACKGROUND: Cardiac surgery is associated with significant mortality and complication risks. This study aims to develop an interpretable machine learning (ML) model to predict adverse outcomes (AOs) after cardiac surgery, and to explore the associati... read more 

Whole-genome sequencing revealed the genomic origin of Solanum demissum Lindl., a Mexican hexaploid wild potato species.

BMC plant biology
BACKGROUND: Solanum demissum Lindl. (2n = 6x = 72) is the most popular wild species in potato breeding because of its resistance to late blight, caused by Phytophthora infestans (Mont.) de Bary. Regular meiosis with 36 bivalents indicates that S. dem... read more