Artificial Intelligence Medical Compendium

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

Showing 4,601 to 4,610 of 203,854 articles

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 

Evaluation of Text- and Image-Based Generative Artificial Intelligence for Simulating Impacted Third Molar Extraction.

Journal of stomatology, oral and maxillofacial surgery
BACKGROUND: Recent advances in generative artificial intelligence (AI) have opened new opportunities in procedural simulation. However, its clinical accuracy for simulating impacted mandibular third molar extraction remains unclear. MATERIAL AND METH... read more 

Identification of Pathological Secretions in Bronchoscopic Images Based on Edge Features and Multi-Scale Attention Mechanism.

SLAS technology
The accumulation of pathological bronchial secretions compromises ventilation and oxygenation in critically ill patients and may lead to atelectasis or secondary infection in severe cases, making timely identification and removal of pathological secr... read more 

Development of a new disseminated intravascular coagulation score tailored for patients with chronic liver disease: a prospective observational study.

Journal of thrombosis and haemostasis : JTH
BACKGROUND: Diagnosing disseminated intravascular coagulation (DIC) in patients with chronic liver disease is challenging because cirrhosis-related hemostatic abnormalities mimic DIC laboratory features, leading to frequent overdiagnosis using conven... read more 

Marker-less Body Surface Registration with 3D imaging for Percutaneous Intervention with Smartphone Augmented Reality in Phantoms and in vivo.

Journal of vascular and interventional radiology : JVIR
PURPOSE: To evaluate the accuracy of automatic surface tracking registration with a smartphone augmented reality (AR) guidance system for percutaneous needle insertion in phantoms and in vivo. MATERIALS AND METHODS: An AR application for needle guida... read more