AIMC Topic: Humans

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Robot-assisted thoracic surgery for stages IIB-IVA non-small cell lung cancer: retrospective study of feasibility and outcome.

Journal of robotic surgery
Robot-assisted thoracic surgery (RATS) for higher stages non-small cell lung carcinoma (NSCLC) remains controversial. This study reports the feasibility of RATS in patients with stages IIB-IVA NSCLC. A single-institute, retrospective study was conduc...

Deep Learning Model for Coronary Angiography.

Journal of cardiovascular translational research
The visual inspection of coronary artery stenosis is known to be significantly affected by variation, due to the presence of other tissues, camera movements, and uneven illumination. More accurate and intelligent coronary angiography diagnostic model...

Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
AIMS: Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated measurements of LV global longitudin...

Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan.

Clinical and experimental nephrology
BACKGROUND: Kidney involvement frequently occurs in systemic lupus erythematosus (SLE), and its clinical manifestations are complicated. We profiled kidney involvement in SLE patients using deep learning based on data from the National Database of De...

Single-port laparoscopic versus single-port robotic right hemicolectomy: Postoperative short-term outcomes.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study aimed to compare the short-term postoperative outcomes of single-port robotic (SPR) using da Vinci SP system and single port laparoscopic (SPL) right hemicolectomy and determine whether the novel SPR system is safe and feasible...

Hyper-convolutions via implicit kernels for medical image analysis.

Medical image analysis
The convolutional neural network (CNN) is one of the most commonly used architectures for computer vision tasks. The key building block of a CNN is the convolutional kernel that aggregates information from the pixel neighborhood and shares weights ac...

Advanced Temporally-Spatially Precise Technologies for On-Demand Neurological Disorder Intervention.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Temporal-spatial precision has attracted increasing attention for the clinical intervention of neurological disorders (NDs) to mitigate adverse effects of traditional treatments and achieve point-of-care medicine. Inspiring steps forward in this fiel...