Artificial Intelligence Medical Compendium

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

Showing 17,751 to 17,760 of 214,033 articles

Incentivizing artificial intelligence in surgery.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) is a rapidly growing technological advancement that can be used to transform surgical practice. Applications range from robotic assistance and computer vision, to perioperative guidance and administrative task... read more 

Evaluating multi-task network architectures for simultaneous breast lesion segmentation and classification in ultrasound images.

Medical & biological engineering & computing
Breast lesion segmentation and classification in ultrasound (US) images are two essential tasks for computer-aided diagnosis of breast cancer. However, these tasks are still challenging, mainly due to the high variability of lesions and the poor imag... read more 

EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.

International journal of computer assisted radiology and surgery
PURPOSE: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models for cardiac ultrasound do not support. We present EchoAgent, a framework that enables structured, in... read more 

MRI Habitat Analysis for Preoperative Prediction of Perineural Invasion and Prognostic Stratification in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Accurate preoperative assessment of perineural invasion (PNI) remains challenging in rectal cancer. PURPOSE: To develop assessment models based on preoperative multiparametric MRI (mpMRI) habitat analysis for evaluating PNI status and to ... read more 

A Review of Artificial Intelligence Across the Facial Esthetic Surgical Continuum: Education, Planning, Intraoperative Use, and Postoperative Outcomes.

The Journal of craniofacial surgery
Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyze large visual data sets and provide more objective outcome measurements. The authors' review will f... read more 

Multigas Selective Identification Based on a Single Chemiresistive Gas Sensor via Dynamic Light-Pulse Modulation and Machine Learning.

ACS sensors
Metal oxide semiconductor (MOS) gas sensors hold great promise for gas detection due to their low cost and miniaturization. Nevertheless, such sensors are unable to distinguish structurally analogous gas molecules due to mere reliance on one-dimensio... read more 

Role of Low-Field Magnetic Resonance Imaging in the Lungs: Opportunities and Challenges.

Journal of computer assisted tomography
Clinical utilization of lung MRI has not kept pace with MRI of other body regions. This is due to a combination of technical and perceptual factors related to lung imaging. With increasing access to and application of low-field MRI, there are unique ... read more 

Obesity, microRNA circulating microRNA signatures reveal core and reversible dysregulations in obesity via machine learning.

The Journal of physiology
Obesity is a complex metabolic disease characterized by systemic metabolic and inflammatory dysregulation, yet the molecular signatures underlying these processes remain incompletely understood. Circulating microRNAs (miRNAs) have emerged as promisin... read more 

Medical pre-training and fine-tuning improve large-language-model prediction of rheumatoid-arthritis disease activity.

Modern rheumatology
OBJECTIVE: To evaluate whether medical-domain pre-training and parameter-efficient fine-tuning improve the ability of locally deployable large language models (LLMs) to predict long-term disease activity and disability in rheumatoid arthritis (RA), a... read more