Artificial Intelligence Medical Compendium

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

Showing 47,851 to 47,860 of 224,199 articles

Designing an explainable algorithm based on XGBoost and genetic algorithm for predicting hospitalization needs of COVID-19 patients.

Scientific reports
Timely identification of COVID-19 outpatients who are at risk of hospitalization is critical for preventing clinical deterioration and optimizing healthcare resources. Although machine-learning models have demonstrated high predictive accuracy, their... read more 

Infrared ship target detection algorithm PEW_YOLOv8 in complex environments.

Scientific reports
In the infrared ship detection task under complex environments, issues such as high rates of missed and false detections occur due to noise, occlusion, and the indistinct features of small targets. To address these problems, this paper proposes a shi... read more 

Regulation of clinical Artificial Intelligence (AI) in the Age of Agents: Unconfined Non-Deterministic Clinical Software (UNDCS) systems for healthcare.

NPJ digital medicine
In a recent article, Weissman et al.1 examined the extent to which artificial intelligence (AI)-based large language models (LLMs) generate clinical decision support (CDS) outputs that meet the criteria of regulated medical devices1 and called for ne... read more 

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Nature computational science
Drawing on the experiences and lessons learned from researchers based in low- and middle-income countries (LMICs) that leverage generative artificial intelligence (GenAI) technologies to address socio-economic challenges, we showcase the considerable... read more 

Oxide semiconductor gain cell-embedded memory: materials and integration strategies for next generation on-chip memory.

Communications engineering
The data processing demands of the digital era have exposed limitations in conventional memory architectures. Gain cell-embedded dynamic random-access memory based on oxide semiconductors is emerging as a solution, addressing scalability, power effic... read more 

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex.

Nature neuroscience
Convolutional neural networks (CNNs) provide powerful models of neural sensory encoding, but their complexity makes it difficult to discern computations that support their performance. Here, to address this limitation, we developed a linear-nonlinear... read more 

Large language model and Gd-EOB-DTPA-enhanced MRI-based risk stratification system for postoperative hepatocellular carcinoma: a multicenter study.

European radiology
OBJECTIVE: To develop and validate a Fully Automated Stratification System (FASS) integrating serum biomarkers, automated radiomic features, and large language model (LLM)-derived semantic features for prognostic prediction in patients with solitary ... read more