Artificial Intelligence Medical Compendium

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

Showing 23,891 to 23,900 of 217,366 articles

Clinical Significance of Biomarkers in Oropharyngeal Squamous Cell Carcinoma: Recurrence Prediction and Treatment Response.

Cancer reports (Hoboken, N.J.)
BACKGROUND: Oropharyngeal squamous cell carcinoma (OPSCC) accounts for a substantial proportion of head and neck cancers, with a rising incidence largely driven by human papillomavirus (HPV) infection. Despite advances in multimodal treatment, diseas... read more 

Geometric Transformation Algorithm for Acetabular Cup Orientation: Converting 2D Radiographic Projections to 3D Spatial Positioning.

In vivo (Athens, Greece)
BACKGROUND/AIM: Hip replacement is one of the most common and successful surgeries of our time. However, with increasing numbers of total hip arthroplasties, postoperative complications due to inadequate cup positioning are rising. Accurate measureme... read more 

Identifying Food Packaging Migrants: Current Analytical Capabilities, Challenges, and Future Prospects.

Comprehensive reviews in food science and food safety
The migration of intentionally and non-intentionally added substances (IAS/NIAS) from food packaging into foodstuffs presents a significant challenge to consumer health and food safety. Accurate and comprehensive identification of these chemical migr... read more 

Unraveling Glycation-Induced Structure-Function Nexus in Food Proteins: From Analytical Innovations to AI-Assisted Design.

Comprehensive reviews in food science and food safety
The functional performances are encoded by protein structures, and modified structure-based strategies for customizing food proteins have major implications for the food industry. The glycation reaction that typically occurs between food components i... read more 

DEEP-DISORDER: Motion Correction in 3D MRI via Segment Reconstruction and Registration.

NMR in biomedicine
3D MR image acquisition is inherently time intensive, rendering it susceptible to patient motion during scanning. This may introduce significant blurring and artifacts, potentially necessitating reacquisition. We propose a modular framework to retros... read more 

ICU Nurses' Perspectives on Artificial Intelligence in Adult Intensive Care Units: Knowledge, Attitudes and Job-Security Concerns.

Nursing in critical care
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, particularly in adult intensive care units (ICUs), yet nurses' knowledge, attitudes and concerns regarding AI remain insufficiently examined. This study aimed to ass... read more 

Evaluating an AI-driven Triaging Workflow for MRI-based Clinically Significant Prostate Cancer Diagnosis: A Simulation Study.

Radiology. Imaging cancer
Purpose To simulate an artificial intelligence (AI)-driven triaging workflow in which an AI system, using high-confidence thresholds, assesses a subset of prostate MRI examinations for clinically significant prostate cancer (csPCa), compare the asses... read more 

Phase and absorbance retrieval in X-ray holographic microscopy under weak illumination using physics-driven neural networks.

Journal of synchrotron radiation
X-ray holographic microscopy is a three-dimensional (3D) imaging technique for nanoscale-resolution imaging of morphological features and phase contrast in biological samples and solid-state materials. However, it is challenging to recover phase and ... read more 

Data driven drift correction for complex optical systems.

Journal of synchrotron radiation
To exploit the thousand-fold increase in spectral brightness of modern light sources, increasingly intricate experiments are being conducted that demand extremely precise beam trajectory. Maintaining the optimal trajectory over several hours of an ex... read more