Artificial Intelligence Medical Compendium

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

Showing 4,471 to 4,480 of 174,001 articles

Is the FDA regulation of cardiology AI devices supporting cardiovascular innovation: a scoping review.

Heart (British Cardiac Society)
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have shown immense potential in cardiology, leveraging data-driven insights to enhance diagnosis, treatment planning and patient care. This study presents a comprehensive evaluation o... read more 

Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.

Scientific reports
In deregulated power markets (DPMs), transmission-line congestion has become more severe and frequent than in traditional power systems. This congestion hinders electricity markets from operating in normal competitive equilibrium. The independent sys... read more 

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more 

[The application effect of Generative Pre-Treatment Tool of Skeletal Pathology in functional lumbar spine radiographic analysis].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To investigate the application effectiveness of the artificial intelligence(AI) based Generative Pre-treatment tool of Skeletal Pathology (GPTSP) in measuring functional lumbar radiographic examinations. This is a retrospective case series study,re... read more 

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provide fine-grained information that physicians consider, in conjunction w... read more 

[Digital and intelligent medicine empowering precision abdominal surgery:today and the future].

Zhonghua wai ke za zhi [Chinese journal of surgery]
The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This art... read more 

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei... read more 

Bibliometric analysis of research on artificial İntelligence applications in breast cancer diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine
ObjectiveThis analysis aims to examine studies on artificial intelligence (AI) applications in breast cancer diagnosis through bibliometric methods, focusing on temporal and geographical trends. It contributes to shaping the field's roadmap and helpi... read more 

Multimodal analysis of cell-free DNA enhances differentiation of early-stage breast cancer from benign lesions and healthy individuals.

BMC biology
BACKGROUND: Breast cancer (BC) remains the second leading cause of cancer-related mortality among women worldwide. Liquid biopsy based on circulating tumor DNA (ctDNA) offers a promising noninvasive approach for early detection; however, differentiat... read more 

Determination of intrinsic cellular electrical and mechanical properties using micro/nano manipulation techniques.

Soft matter
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ... read more