AIMC Topic: Artificial Intelligence

Clear Filters Showing 5821 to 5830 of 26332 articles

Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligence.

Nature reviews. Urology
Diagnostic cystoscopy in combination with transurethral resection of the bladder tumour are the standard for the diagnosis, surgical treatment and surveillance of bladder cancer. The ability to inspect the bladder in its current form stems from a lon...

AI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review.

European journal of trauma and emergency surgery : official publication of the European Trauma Society
PURPOSE: Early and accurate assessment of distal radius fractures (DRFs) is crucial for optimal prognosis. Identifying fractures likely to lose threshold alignment (instability) in a cast is vital for treatment decisions, yet prediction tools' accura...

Current advances in the use of artificial intelligence in predicting and managing urological complications.

International urology and nephrology
BACKGROUND: Artificial intelligence (AI) has emerged as a promising avenue for improving patient care and surgical outcomes in urological surgery. However, the extent of AI's impact in predicting and managing complications is not fully elucidated.

Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians.

Asian journal of andrology
Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process. To date, machine learning s...

Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications.

The Canadian journal of cardiology
Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECGs) has the potential to transform diagnosis and estimate the prognosis of not only cardiac but, increasingly, noncardiac conditions. In this review, we summarize clini...

Applications of Artificial Intelligence in Diagnosis of Dry Eye Disease: A Systematic Review and Meta-Analysis.

Cornea
PURPOSE: Clinical diagnosis of dry eye disease is based on a subjective Ocular Surface Disease Index questionnaire or various objective tests, however, these diagnostic methods have several limitations.

Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Man...

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method.

Artificial intelligence in medicine
In the realm of pulmonary tracheal segmentation, the scarcity of annotated data stands as a prevalent pain point in most medical segmentation endeavors. Concurrently, most Deep Learning (DL) methodologies employed in this domain invariably grapple wi...