Artificial Intelligence Medical Compendium

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

Showing 10,991 to 11,000 of 209,601 articles

Automated quantification of cerebral microbleeds for ARIA-H monitoring in Aging and Alzheimer's Disease: A multicenter deep learning validation

medRxiv May 26, 2026
We trained a self-configuring nnU-Net model for CMB segmentation in a heterogeneous multicenter sample (n=264), including 1.5T and 3T field strengths, SWI and T2*-GRE sequences, and community and clinical cohorts. Model performance was evaluated usin... read more 
radiology and imaging

A Consensus-Driven Stacking Ensemble Framework for Interpretable Cardiovascular Risk Prediction and Clinical Deployment

medRxiv May 26, 2026
Machine learning (ML) is being considered to help diagnose cardiovascular diseases (CVD). Still, challenges like inconsistent and limited datasets, limited infrastructure, and global inequalities lead to the need for a reliable and practicable ML sol... read more 
health informatics

Randomised Trial of a Multilingual Conversational AI for Preoperative Education

medRxiv May 26, 2026
Background Informed consent depends on patients' understanding of anaesthesia risk, yet comprehension remains poor despite routine preoperative consultation. Conversational artificial intelligence (AI) could establish patient-reported understanding b... read more 
anesthesia

Comparative Study on Image Quality of Deep Learning and Adaptive Statistical Iterative Reconstruction-V in Thin Layer CT of liver Lesions

medRxiv May 26, 2026
Objective:This study aims to compare the advantages and disadvantages of DLIR and adaptive statistical iterative reconstruction-V (ASIR-V) in thin-slice (2.5 mm) CT images of hepatic lesions characterized by high and low contrast. Additionally, the ... read more 
radiology and imaging

Examining the impact of artificial intelligence on physicians' performance: mediating effects of innovative work behavior and skills enhancement.

Journal of health organization and management May 26, 2026
PURPOSE: While prior studies have explored artificial intelligence (AI) adoption in various sectors, the specific impact on employee performance in healthcare organizations remains underexamined, particularly regarding the mediating roles of innovati... read more 

Assessing the trustworthiness of health guidelines recommendations: the Transparent, Rigorous, Usable, Standardised and Trustworthy Guide (TRUSTGUIDES) tools development.

Journal of clinical epidemiology May 26, 2026
BACKGROUND: Health guidelines play a central role in informing clinical practice, public health measures and health policy. But their trustworthiness may be undermined by factors such as insufficient methodological rigour, lack of transparency, confl... read more 

AI in the EP Lab - Mapping, Imaging, and Signal Interpretation.

Indian pacing and electrophysiology journal May 26, 2026
Artificial intelligence (AI) is the use of computational models to learn from electrical, anatomical and imaging data to assist or automate interpretation, prediction and decision making in arrhythmia diagnosis and treatment. This includes interpreta... read more 

Lessons from the first U.S. school districts with real-time indoor environmental quality (IEQ) sensors in classrooms: benefits, barriers and opportunities.

Environmental research, health : ERH May 26, 2026
With aging buildings, rising temperatures, and limited budgets, school districts in the United States need effective strategies to address classroom environmental issues, secure funding for upgrades, and develop climate resilience plans. Collecting r... read more 

From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation.

Medical image analysis May 26, 2026
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjec... read more 

Applying artificial intelligence and machine learning framework for de novo design of pyrazole-based VEGFR-2 inhibitors.

Journal of molecular graphics & modelling May 26, 2026
VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and metastasis. The targeted blockade of VEGFR-2 has emerged as a promising treatment approach across a ... read more 
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