AIMC Topic: Prospective Studies

Clear Filters Showing 2271 to 2280 of 2510 articles

Clinical Validation and Extension of an Automated, Deep Learning-Based Algorithm for Quantitative Sinus CT Analysis.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Sinus CT is critically important for the diagnosis of chronic rhinosinusitis. While CT is sensitive for detecting mucosal disease, automated methods for objective quantification of sinus opacification are lacking. We describe ...

Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy.

Journal for immunotherapy of cancer
Immunotherapy offers the potential for durable clinical benefit but calls into question the association between tumor size and outcome that currently forms the basis for imaging-guided treatment. Artificial intelligence (AI) and radiomics allow for d...

Classification of vertices on social networks by multiple approaches.

Mathematical biosciences and engineering : MBE
Due to the advent of the expressions of data other than tabular formats, the topological compositions which make samples interrelated came into prominence. Analogically, those networks can be interpreted as social connections, dataflow maps, citation...

A SYSTEMATIC REVIEW OF DEEP LEARNING APPLICATIONS FOR OPTICAL COHERENCE TOMOGRAPHY IN AGE-RELATED MACULAR DEGENERATION.

Retina (Philadelphia, Pa.)
PURPOSE: To survey the current literature regarding applications of deep learning to optical coherence tomography in age-related macular degeneration (AMD).

[Current Status and Prospective of Robot-assisted Cardiac Surgery in Japan].

Kyobu geka. The Japanese journal of thoracic surgery
Recently, in the field of minimally invasive approach, robotic technology has represented the latest development. Robot-assisted cardiac surgery has advantages against standard minimally invasive cardiac surgery( MICS) in terms of greater visualizati...

EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.

Clinical and translational medicine
BACKGROUND: Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. Mos...

A proposal for developing a platform that evaluates algorithmic equity and accuracy.

BMJ health & care informatics
We are at a pivotal moment in the development of healthcare artificial intelligence (AI), a point at which enthusiasm for machine learning has not caught up with the scientific evidence to support the equity and accuracy of diagnostic and therapeutic...

Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.

The Lancet. Digital health
BACKGROUND: Atherosclerotic plaque quantification from coronary CT angiography (CCTA) enables accurate assessment of coronary artery disease burden and prognosis. We sought to develop and validate a deep learning system for CCTA-derived measures of p...