Artificial Intelligence Medical Compendium

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

Showing 1,841 to 1,850 of 213,633 articles

Understanding HFpEF Through Imaging: Strengths, Limitations, and Current State of the Art.

JACC. Cardiovascular imaging
Heart failure with preserved ejection fraction (HFpEF) is a clinical syndrome characterized by dyspnea caused by hemodynamic congestion, which develops at rest or with exercise. Noninvasive diagnosis remains challenging, because resting diastolic pre... read more 

Vessel-MAYON: A 3D direction-aware deep network for intracranial vessel segmentation from MRA Images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
In magnetic resonance angiography, intracranial vessels exhibit complex tree-like structures with strong anisotropy. Accurate segmentation remains challenging because of discontinuous signals in small vessels and weak contrast in low-signal regions. ... read more 

Feasibility assessment of calcium carbonate scale thickness and volume fraction estimation in three-phase flow using neutron activation analysis and deep neural networks.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Accurate characterization of fluid volume fractions and scale deposition in multiphase flows is essential for optimizing oil and gas production and transportation. This study presents a simulation-based feasibility assessment integrating Monte Carlo ... read more 

Data-centric physics-inspired deep learning framework for saturation artifact removal in optical coherence tomography.

Medical image analysis
In Fourier-domain optical coherence tomography (FD-OCT) imaging, saturation of the data acquisition chain leads to loss of information by clipping the spectral interferograms. When reconstructed, affected depth profiles are degraded by bright axial l... read more 

ORBIT: Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space for cancer driver gene identification.

Artificial intelligence in medicine
Accurate identification of cancer driver genes is crucial for precision oncology but remains challenging due to the complexity of integrating heterogeneous data and modeling dynamic biological systems. To address these limitations, we propose ORBIT (... read more 

Artificial intelligence for short-term post-mortem interval estimation: a systematic review with PROBAST and TRIPOD+AI appraisal.

Legal medicine (Tokyo, Japan)
BACKGROUND: Estimating the post-mortem interval (PMI) is pivotal in forensic casework, yet traditional approaches are imprecise and context-dependent. Artificial intelligence and machine-learning (AI/ML) models aim to leverage imaging, biochemical an... read more 

Deep-learning CT reconstruction improves image quality but not diagnostic accuracy for sacral fragility fractures: MRI remains essential.

Injury
PURPOSE: To determine whether modern deep-learning CT reconstruction improves trauma-relevant diagnostic performance for sacral fragility fractures (SFF) and whether optimized CT can reduce the need for MRI in routine clinical practice. METHODS: In t... read more 

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after curative gastrectomy for gastric cancer and independently shorten overall survival (OS) by compromising adjuvant therapy delivery. Current nutritional,... read more 

Palliative Care Physicians' Perceptions about Using Artificial Intelligence for Prognostication.

Journal of pain and symptom management
CONTEXT: Statistical and artificial intelligence (AI)-based methods have informed clinical prognostication for decades, evolving into machine learning models integrated into electronic health records. Despite increasing deployment of AI-based prognos... read more