AIMC Topic: Humans

Clear Filters Showing 51351 to 51360 of 95995 articles

Robot-assisted kidney transplantation is a safe alternative approach for morbidly obese patients with end-stage renal disease.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Many centres deny obese patients with a body mass index (BMI) >35 access to kidney transplantation due to increased intraoperative and postoperative complications.

Robot-assisted radical cystectomy with intracorporeal Mainz Ⅱ rectosigmoid pouch for muscle-invasive bladder cancer.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: To report the surgical techniques and results of robot-assisted radical cystectomy (RARC) with intracorporeal Mainz Ⅱ rectosigmoid pouch at our centre.

Deep learning for diagnosis and survival prediction in soft tissue sarcoma.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Clinical management of soft tissue sarcoma (STS) is particularly challenging. Here, we used digital pathology and deep learning (DL) for diagnosis and prognosis prediction of STS.

Free-breathing Accelerated Cardiac MRI Using Deep Learning: Validation in Children and Young Adults.

Radiology
Background Obtaining ventricular volumetry and mass is key to most cardiac MRI but challenged by long multibreath-hold acquisitions. Purpose To assess the image quality and performance of a highly accelerated, free-breathing, two-dimensional cine car...

Assigning confidence to molecular property prediction.

Expert opinion on drug discovery
: Computational modeling has rapidly advanced over the last decades. Recently, machine learning has emerged as a powerful and cost-effective strategy to learn from existing datasets and perform predictions on unseen molecules. Accordingly, the explos...

Treatment initiation prediction by EHR mapped PPD tensor based convolutional neural networks boosting algorithm.

Journal of biomedical informatics
Electronic health records contain patient's information that can be used for health analytics tasks such as disease detection, disease progression prediction, patient profiling, etc. Traditional machine learning or deep learning methods treat EHR ent...

Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
INTRODUCTION: To develop an image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance (MR) imaging.

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Journal of digital imaging
Automated quantitative and probabilistic medical image analysis has the potential to improve the accuracy and efficiency of the radiology workflow. We sought to determine whether AI systems for brain MRI diagnosis could be used as a clinical decision...

Human breast milk-based nutritherapy: A blueprint for pediatric healthcare.

Journal of food and drug analysis
Human Breast Milk (HBM) is a storehouse of micronutrients, macronutrients, immune factors, microbiota and numerous other bioactive macromolecules. Fulfilment of optimum nutritional requirements of more than 240 million malnourished infants worldwide ...

Trends of Human-Robot Collaboration in Industry Contexts: Handover, Learning, and Metrics.

Sensors (Basel, Switzerland)
Repetitive industrial tasks can be easily performed by traditional robotic systems. However, many other works require cognitive knowledge that only humans can provide. Human-Robot Collaboration (HRC) emerges as an ideal concept of co-working between ...