AIMC Topic: Feasibility Studies

Clear Filters Showing 391 to 400 of 950 articles

Automated human cell classification in sparse datasets using few-shot learning.

Scientific reports
Classifying and analyzing human cells is a lengthy procedure, often involving a trained professional. In an attempt to expedite this process, an active area of research involves automating cell classification through use of deep learning-based techni...

Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.

European journal of radiology
PURPOSE: To investigate the image quality and feasibility of a novel artificial intelligence iterative reconstruction (AIIR) algorithm for aortic computer tomography angiography (CTA) with a low radiation dose and contrast material (CM) dosage protoc...

A feasibility study for in vivo treatment verification of IMRT using Monte Carlo dose calculation and deep learning-based modelling of EPID detector response.

Radiation oncology (London, England)
BACKGROUND: This paper describes the development of a predicted electronic portal imaging device (EPID) transmission image (TI) using Monte Carlo (MC) and deep learning (DL). The measured and predicted TI were compared for two-dimensional in vivo rad...

Feasibility of interaortocaval clamping for renal artery during robot-assisted right partial nephrectomy: A propensity score-matching analysis.

Asian journal of endoscopic surgery
AIM: To evaluate the impact of the interaortocaval clamping technique for the right renal artery on perioperative outcomes of patients who underwent robot-assisted partial nephrectomy (RAPN).

Posterior transperitoneal robot-assisted partial nephrectomy in the treatment of renal tumors: Feasibility of a hybrid approach.

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
PURPOSE: Robot-assisted partial nephrectomy (RAPN) for posterior renal tumors may be performed through anterior (transperitoneal) or posterior (retroperitoneal) approach depending on surgeon's expertise. We propose herein a surgical artifice using da...

Automated segmentation of magnetic resonance bone marrow signal: a feasibility study.

Pediatric radiology
BACKGROUND: Manual assessment of bone marrow signal is time-consuming and requires meticulous standardisation to secure adequate precision of findings.

Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Scientific reports
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal therapy is addressing risk factors like sm...

External validation of deep learning-based bone-age software: a preliminary study with real world data.

Scientific reports
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its complicated and lengthy nature. We aimed to evaluate the clinical performance of a commercially available deep learning (DL)-based software for BA assessme...

Efficacy and feasibility of robot-assisted partial nephrectomy for octogenarians: comparison with younger counterparts.

Journal of robotic surgery
To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) in patients ≥ 80 years old and their younger counterparts, we retrospectively analyzed 1234 patients who underwent robot-assisted partial nephrectomy....

Cardiac X-ray image-based haptic guidance for robot-assisted coronary intervention: a feasibility study.

International journal of computer assisted radiology and surgery
PURPOSE: Effective and efficient haptic guidance is desirable for tele-operated robotic surgery because it has a potential to enhance surgeon's skills, especially in coronary interventions where surgeon loses both an eye-hand coordination and a direc...