AIMC Topic: Humans

Clear Filters Showing 38241 to 38250 of 95995 articles

LecturePlus: a learner-centered teaching method to promote deep learning.

Advances in physiology education
A new teaching format, the LecturePlus, was formulated as a lecture followed by small-group learning activities. This study assessed the effectiveness of LecturePlus in medical education. An interventional study was conducted among final-year medical...

Artificial intelligence-enabled simulation of gluteal augmentation: A helpful tool in preoperative outcome simulation?

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
BACKGROUND: While the buttock region is considered an esthetic hallmark, the Brazilian butt lift (BBL) remains controversially discussed in the plastic surgery community. This is due to its contentious safety profile. Thus, informed consent and patie...

Insights and trends review: artificial intelligence in hand surgery.

The Journal of hand surgery, European volume
Artificial intelligence (AI) in hand surgery is an emerging and evolving field that will likely play a large role in the future care of our patients. However, there remain several challenges to makes this technology meaningful, acceptable and usable ...

Indocyanine Green-Assisted Retrograde Ureterolysis in Robotic Transvaginal NOTES for the Management of Stage IV Endometriosis with Obliterated Cul-de-sac.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To explore the use of indocyanine green (ICG) in highlighting ureteral anatomical landmarks for the successful and safe execution of robotic-assisted transvaginal NOTES hysterectomy with resection of deeply infiltrated endometriosis.

Deep Learning-based Prediction of Axial Length Using Ultra-widefield Fundus Photography.

Korean journal of ophthalmology : KJO
PURPOSE: To develop a deep learning model that can predict the axial lengths of eyes using ultra-widefield (UWF) fundus photography.

HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation.

Computers in biology and medicine
Automatic breast ultrasound image segmentation helps radiologists to improve the accuracy of breast cancer diagnosis. In recent years, the convolutional neural networks (CNNs) have achieved great success in medical image analysis. However, it exhibit...

CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling.

Computers in biology and medicine
BACKGROUND AND OBJECTIVES: Discovering causal associations between variables is one of the main goals of clinical trials, with the ultimate aim of identifying the causes of specific health status. Prior knowledge of causal paths could help ensure pat...