Artificial Intelligence Medical Compendium

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

Showing 15,601 to 15,610 of 213,401 articles

Assessing and mitigating traffic crash risks using interpretable machine learning techniques.

Scientific reports May 21, 2026
This study aims to examine factors associated with self-reported crash involvement among drivers in Pakistan using interpretable machine learning (ML) techniques and established driver-behavior instruments. The data used in this study were collected ... read more 

Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.

Scientific reports May 21, 2026
Rail fastener defects threaten track integrity and operational safety, making reliable automated inspection essential. This study develops an energy-efficient real-time railway fastener detection framework for UAV-based monitoring by integrating Spik... read more 

Probabilistic cancer risk assessment from heavy metal exposure in iranian rice and pasta: a novel hybrid framework integrating INAA, ICP-AES, and ensemble machine learning.

Scientific reports May 21, 2026
This study investigates cancer risk from heavy metal exposure in rice and pasta using experimental data and machine learning approaches, based on 19 experimental samples and 1,750 simulated exposure instances. Concentrations of toxic heavy metals wer... read more 

Machine learning-enhanced modeling approach for optimally predicting household level food insecurity in Ethiopia during COVID-19.

Scientific reports May 21, 2026
Food insecurity remains a critical global challenge, with low-income countries such as Ethiopia bearing a disproportionate burden. In settings where frequent data collection is limited, developing predictive models provides a cost-effective means of ... read more 

The AI4GH community of practice: strengthening LMIC-Led artificial intelligence for global health.

NPJ digital medicine May 21, 2026
Efforts to research, implement and scale responsible Artificial Intelligence (AI) for addressing health challenges in low- and middle-income countries (LMICs) are often fragmented. It limits collaboration and slows progress. Communities of Practice (... read more 

An explainable machine learning framework for analyzing and predicting mental health problems among university students in Bangladesh.

Scientific reports May 21, 2026
Mental health problems (MHPs) among university students are an increasing public health concern globally, including in Bangladesh. While machine learning (ML) methods can capture complex patterns in mental health data, their application to non-probab... read more 

BMA-YOLO: an object detection model for microscopic images of mouse embryos.

Scientific reports May 21, 2026
In vitro embryo culture is a pivotal technology in life sciences and medical research. However, automated monitoring remains challenging due to factors such as bubble interference and the frequent omission of small or peripheral embryos. To overcome ... read more 

A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning.

Scientific reports May 21, 2026
High frequency vehicle-to-vehicle (V2V) communication in the Internet of Vehicles (IoV) leads to severe spectrum collisions and limited system capacity. Meanwhile, safety information transmission requires V2V communication with high transmission succ... read more 

A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainability.

Scientific reports May 21, 2026
Deep learning models for brain tumor diagnosis often lack interpretability beyond qualitative visual heatmaps. Clinicians require not only tumor localization but also quantitative assessment of explanation quality and diagnostic relevance, capabiliti... read more 

How we're using AI tools to improve psychedelic-drug research.

Nature May 21, 2026
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