AIMC Topic: Ultrasonography, Interventional

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From Consensus to Standardization: Evaluating Deep Learning for Nerve Block Segmentation in Ultrasound Imaging.

A&A practice
BACKGROUND: Deep learning can automate nerve identification by learning from expert-labeled examples to detect and highlight nerves in ultrasound images. This study aims to evaluate the performance of deep-learning models in identifying nerves for ul...

Artificial Intelligence in Regional Anesthesia and Pain Management.

Anesthesiology clinics
Artificial intelligence (AI) is improving regional anesthesia by bringing unparalleled precision and efficiency to ultrasound-guided procedures. Using advanced machine learning algorithms like convolutional neural networks, AI can instantly interpret...

MDEANet: A multi-scale deep enhanced attention net for popliteal fossa segmentation in ultrasound images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Popliteal sciatic nerve block is a widely used technique for lower limb anesthesia. However, despite ultrasound guidance, the complex anatomical structures of the popliteal fossa can present challenges, potentially leading to complications. To accura...

A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Artificial intelligence (AI) represents a transformative opportunity for pain medicine, offering potential solutions to longstanding challenges in pain assessment and management. This review synthesizes the current state of AI appl...

Artificial intelligence in regional anesthesia.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Artificial intelligence (AI) is having an increasing impact on healthcare. In ultrasound-guided regional anesthesia (UGRA), commercially available devices exist that augment traditional grayscale ultrasound imaging by highlighting ...

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BMC medical informatics and decision making
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and r...

Point-of-care ultrasound in obstetric anesthesia clinical practice.

Current opinion in anaesthesiology
PURPOSE OF THE REVIEW: Point-of-care ultrasound (POCUS) is increasingly recognized as a valuable tool in obstetric anesthesia. This review synthesizes key studies and reviews published within the last 2 years on its application in clinical practice w...

Robot-assisted ultrasound probe calibration for image-guided interventions.

International journal of computer assisted radiology and surgery
BACKGROUND: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time fusion of augmented ultrasound images and live video streams. The integration aids surgeons in accurately locating lesions within organs, and this cou...

Evaluation of AI-based nerve segmentation on ultrasound: relevance of standard metrics in the clinical setting.

British journal of anaesthesia
BACKGROUND: In artificial intelligence for ultrasound-guided regional anaesthesia, accurate nerve identification is essential. The technology community typically favours objective metrics of pixel overlap on still-frame images, whereas clinical asses...

Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...