Artificial Intelligence Medical Compendium

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

Showing 18,371 to 18,380 of 214,278 articles

Temporal dynamics and associated factors of sleep quality in Chinese boarding high school students: a repeated cross-sectional study across four waves (2019-2024).

Scientific reports
This study investigated temporal changes in sleep quality among Chinese boarding high school students across four phases (2019:pre-pandemic baseline, 2020:outbreak containment, 2021:dynamic mitigation, and 2024:post-pandemic adaptation), aiming to id... read more 

Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation.

NPJ digital medicine
The rapid advancements in PET technology, coupled with the need for accurate and efficient imaging, necessitate the development of robust and generalizable methods for CT-free attenuation and scatter correction (ASC). Deep learning offers a promising... read more 

Training and validation of a 1D CNN model for accurate three-class classification of oral cancer using serum Raman spectroscopy.

Discover oncology
In this study, a one-dimensional convolutional neural network (1D-CNN) was developed for classifying serum Raman spectra into three oral cancer-related classes: normal, precancerous, and cancerous. To address class imbalance, class-weighted learning ... read more 

Cross-species insights from ART-D to uncover evolutionarily conserved oncogenic mechanisms.

Molecular systems biology
Cancer arises from oncogenic clones, yet the dynamic mechanisms driving their stepwise evolution toward malignancy remain incompletely understood. Here, we establish the Atlas of Ras-driven Tumors in Drosophila (ART-D), a systematic, cross-species pl... read more 

Advancing conversational diagnostic AI with multimodal reasoning.

Nature medicine
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history with visual information such as medical imagery and clinical documents. Although large language models (LLMs) have shown promise in diagnostic dialogue... read more 

Artificial Intelligence-Driven Three-Dimensional Reconstruction System Reduced Unexpected Procedural Changes in Thoracic Surgery.

Annals of surgical oncology
BACKGROUND: Although an artificial intelligence-driven three-dimensional reconstruction system (AI-3D) facilitates preoperative planning, its impact on consistency between planned and actual surgical procedures and perioperative outcomes has not been... read more 

Rheology-driven penetration dynamics of needle-free jet injection in ex vivo porcine tissue.

Drug delivery and translational research
Needle-free jet injectors offer promising capabilities for drug delivery; however, achieving precise, depth-targeted penetration remains a significant challenge due to the complex interplay between formulation rheology and tissue biomechanics. This c... read more 

Dual-Phase Computed Tomography-Based Deep Learning Architecture for Three-Year Survival Prediction in Hepatocellular Carcinoma.

Journal of imaging informatics in medicine
Hepatocellular carcinoma (HCC) is a major global health burden, ranking as the sixth most common cancer and the third leading cause of cancer-related mortality. Computed tomography (CT) is widely used for HCC evaluation because of the high spatial re... read more 

Discursive Ethics as a Normative Foundation for Integrating Ethics into AI Clinical Decision Support Systems.

Science and engineering ethics
The rapid integration of Artificial Intelligence (AI) in critical sectors such as healthcare has raised significant concerns regarding human autonomy and the risk of delegating vital decisions to opaque artificial systems. This paper examines the nor... read more 

The role of artificial intelligence in adenoma detection during colonoscopy: a systematic review and meta-analysis of randomized controlled trials-Artificial intelligence and adenoma detection.

Techniques in coloproctology
BACKGROUND: Colonoscopy is the gold standard for colorectal cancer screening; however, it is limited by a substantial adenoma miss rate. We aimed to provide an updated and comprehensive synthesis of evidence from randomized controlled trials (RCTs) o... read more