AIMC Topic: Artificial Intelligence

Clear Filters Showing 25281 to 25290 of 26332 articles

Artificial Intelligence Pertaining to Cardiothoracic Imaging and Patient Care: Beyond Image Interpretation.

Journal of thoracic imaging
Artificial intelligence (AI) is a broad field of computational science that includes many subsets. Today the most widely used subset in medical imaging is machine learning (ML). Many articles have focused on the use of ML for pattern recognition to d...

Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.

Current opinion in urology
PURPOSE OF REVIEW: Patients with nonmuscle invasive bladder cancer (NMIBC) have a high risk of recurrent tumors, even in spite of contemporary guideline recommended therapy. Follow-up recommendations are also clear (cystoscopy with cytology and upper...

Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.

Journal of thoracic imaging
PURPOSE: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral density (BMD) from chest computed tomography (CT), as compared with dual-energy x-ray absorptiometry ...

Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.

Journal of thoracic imaging
The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in a wide variety of fields, medicine not being the exception. The base of AI is mathematics and computer science, and the current fame of AI in industry...

[Artificial intelligence in hybrid imaging].

Der Radiologe
CLINICAL ISSUE: Hybrid imaging enables the precise visualization of cellular metabolism by combining anatomical and metabolic information. Advances in artificial intelligence (AI) offer new methods for processing and evaluating this data.

Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection.

Investigative radiology
OBJECTIVES: The aim of the study was to implement a deep-learning tool to produce synthetic double inversion recovery (synthDIR) images and compare their diagnostic performance to conventional sequences in patients with multiple sclerosis (MS).

Advanced imaging techniques for chronic pancreatitis.

Abdominal radiology (New York)
MRI and MRCP play an important role in the diagnosis of chronic pancreatitis (CP) by imaging pancreatic parenchyma and ducts. MRI/MRCP is more widely used than computed tomography (CT) for mild to moderate CP due to its increased sensitivity for panc...

Emerging imaging techniques for acute pancreatitis.

Abdominal radiology (New York)
Acute pancreatitis (AP) is caused by acute inflammation of the pancreas and adjacent tissue and is a common source of abdominal pain. The current CT and MRI evaluation of AP is mostly based on morphologic features. Recent advances in image acquisitio...

[Applications of Artificial Intelligence in Musculoskeletal System Imaging].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Artificial intelligence (AI) represents the latest wave of computer revolution and is considered revolutionary technology in many industries including healthcare. AI has been applied in medical imaging mainly due to the improvement of computational l...