Artificial Intelligence Medical Compendium

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

Showing 7,141 to 7,150 of 206,272 articles

Evaluating Use of Chat-Generative Pretrained Transformer for Patient Education of Pelvic Floor Disorders.

Urogynecology (Philadelphia, Pa.)
IMPORTANCE: Pelvic floor disorders (PFDs) affect a growing number of women, who often avoid seeking medical attention. The emergence of digital technologies, including artificial intelligence and natural language processing, such as Chat-Generative P... read more 

Learning-assisted locality optimisation in online suffix tree construction: Formal analysis and empirical validation.

Computational biology and chemistry
Suffix trees underpin many string-processing applications, yet their classical O(n) construction algorithms suffer in practice from the gap between processor and memory speeds: cache misses, not arithmetic operations, dominate wall-clock time. This p... read more 

Unveiling the cognitive features of L2 Chinese reading: Machine learning reveals subskill-specific and general eye-movement patterns.

Acta psychologica
Traditional reading assessments rely heavily on offline summative outcomes, obscuring the implicit cognitive dynamics of online processing. To render these latent cognitive dynamics empirically tractable, this study employs a data-driven machine lear... read more 

Artificial intelligence empowered coronary artery imaging: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Cardiovascular disease is the leading cause of death worldwide, with coronary artery disease the most prevalent cause. Although artificial intelligence has advanced medical imaging, few reviews focus specifically on AI-powered coronary artery imaging... read more 

Artificial intelligence for real-time motion tracking in MRI-guided radiotherapy: A systematic review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
BACKGROUND AND PURPOSE: Intrafraction motion compromises accurate dose delivery in MRI-guided radiotherapy (MRIgRT), motivating the adoption of artificial intelligence (AI). This systematic review aims to evaluate the performance of AI-driven motion ... read more 

Evolution of PM2.5 chemical composition during summer new particle formation in a coastal city in the Yangtze River Delta: insights from pollution episodes, machine learning, and air mass origins.

Environmental research
To investigate the influence of O3 on new particle formation (NPF) events and associated changes in PM2.5 chemical composition, an observation campaign was conducted in suburban Wuzhen, Jiaxing from August to September 2024. A total of 13 NPF events ... read more 

Synergistic dual-strategy incorporating hollow-structuring and deposition of MoS· conductive layer for enhancing photocatalytic activity of ZnO.

Environmental research
Despite methods for improving photo-activity have been proposed over years, the synergism from coupling them remains mystery. Therefore, current study unveils this by incorporating both hollow-structuring and deposition of conductive layer in one-sin... read more 

Advances in biosensors for monitoring immune responses and allograft rejection in organ transplantation.

Transplant immunology
Organ transplantation remains a gold-standard intervention for numerous end-stage organ failure diseases. However, allograft rejection is still a barrier to long-term graft survival. Conventional allograft monitoring approaches, including tissue biop... read more 

Machine learning assessment of pathologic response in lung cancer resections after neoadjuvant therapy - IASLC MPR Project.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
INTRODUCTION: Machine learning algorithms may improve efficiency and accuracy of pathologic response (PR) assessment in surgically resected lung cancers following neoadjuvant therapy. The aim of this study was to develop digital models for quantifyin... read more 

Ferroptosis in cancer: integrating multi-omics, AI-driven biomarkers, and translational challenges.

Clinica chimica acta; international journal of clinical chemistry
Ferroptosis, an iron-dependent regulated cell death driven by lipid peroxidation, has emerged as a potential target in cancers resistant to apoptosis and other programmed cell death pathways. This review integrates classical mechanistic insights with... read more