Artificial Intelligence Medical Compendium

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

Showing 22,991 to 23,000 of 216,842 articles

A Wilson-Cowan reservoir computer for interpretable spatiotemporal vision.

Scientific reports May 4, 2026
We present a Wilson-Cowan reservoir computer (WC-RC) that treats a retinotopic excitatory-inhibitory neural field as a structured reservoir. Travelling waves and bounded oscillations provide an interpretable spatiotemporal basis, while a two-stage sa... read more 

Early detection of mental health on social media using a hybrid Bi-LSTM-XGBoost model: a comparative study.

Scientific reports May 4, 2026
The case of mental health disorders has been a main topic in the clinical and psychological field. The advancement of computing studies, especially in Natural Language Processing (NLP)-a subset of Machine Learning, created a system of detection that ... read more 

Interpretable, physics-informed learning reveals sulfur adsorption and poisoning mechanisms in 13-atom icosahedra nanoclusters.

Scientific reports May 4, 2026
Transition-metal nanoclusters exhibit structural and electronic properties that depend on their size, often making them superior to bulk materials for heterogeneous catalysis. However, their performance can be limited by sulfur poisoning. Here, we us... read more 

CTM-DETR-frequency-aware and statistically guided transformer for early infrared forest fire detection.

Scientific reports May 4, 2026
Early-stage infrared forest fire detection is severely hindered by strong background thermal interference and extremely weak fire radiation signals. Existing methods mainly rely on spatial-domain modeling and overlook the frequency-domain characteris... read more 

SAT-inspired feature engineering with stacking ensemble learning for fault detection in digital logic circuits.

Scientific reports May 4, 2026
Fault detection in Digital Logic Circuits is an important problem in Very Large Scale Integration (VLSI) testing especially in case of growing circuit complexity and various fault characteristics. Traditional methods tend to have a problem in the abi... read more 

Noninvasive molecular subtyping of breast cancer using multimodal ultrasound spatiotemporal transformer.

NPJ digital medicine May 4, 2026
Molecular subtyping is essential for guiding systemic therapy in breast cancer but currently requires invasive biopsy. Conventional B-mode ultrasound offers rich anatomical information, yet lacks the functional dynamics needed to capture the comprehe... read more 

KFASL: a variance-stable explainable AI framework for high-dimensional anomaly detection.

Scientific reports May 4, 2026
Explainable artificial intelligence (XAI) is increasingly required for anomaly detection in high-dimensional sensor systems operating in safety-critical and resource-constrained environments. While existing post-hoc explanation methods provide useful... read more 

The absence of full lifecycle risk management for AI-based medical devices in radiology.

NPJ digital medicine May 4, 2026
This study represents the systematic examination of full lifecycle management for radiology artificial intelligence medical (AI) devices approved by the US Food and Drug Administration (FDA), with an in-depth analysis of post-market adverse events, r... read more 

BIM-integrated carbon footprint assessment for sustainable buildings using real-time monitoring and optimization.

Scientific reports May 4, 2026
The substantial contribution of the building sector to global carbon emissions highlights the limitations of conventional static assessment approaches and motivates the exploration of real-time, operation-oriented carbon management strategies. This s... read more 

An interpretable progressive residual network for automated multiclass diabetes diagnosis.

Scientific reports May 4, 2026
Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet invasive assays and high costs constrain early detection. Existing machine-learning studies often reduce diagnosis to a binary task and overlook the c... read more 
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