AIMC Topic: Feasibility Studies

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Feasibility of a deep learning algorithm to achieve the low-dose Ga-FAPI/the fast-scan PET images: a multicenter study.

The British journal of radiology
OBJECTIVES: Our work aims to study the feasibility of a deep learning algorithm to reduce the Ga-FAPI radiotracer injected activity and/or shorten the scanning time and to investigate its effects on image quality and lesion detection ability.

Surgery of the alimentary tract for benign and malignant disease with the novel robotic platform HUGO RAS. A first world report of safety and feasibility.

The international journal of medical robotics + computer assisted surgery : MRCAS
INTRODUCTION: As robotic surgery increases its reach, novel platforms are being released. We present the first 17 consecutive cases of alimentary tract surgery performed with the Hugo RAS (Medtronic).

Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study.

European radiology
OBJECTIVES: To evaluate the image quality and diagnostic performance of AI-assisted compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI compared with standard parallel imaging (PI) in clinical 3.0T rapid knee scans.

Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study.

PloS one
OBJECTIVE: To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSEDL) sequences relative to standard TSE sequences (TSES) for acute radius fracture patients wearing a splint.

A feasibility study on AI-controlled closed-loop electrical stimulation implants.

Scientific reports
Miniaturized electrical stimulation (ES) implants show great promise in practice, but their real-time control by means of biophysical mechanistic algorithms is not feasible due to computational complexity. Here, we study the feasibility of more compu...

Randomized Controlled Feasibility Trial of Robot-assisted Versus Conventional Open Partial Nephrectomy: The ROBOCOP II Study.

European urology oncology
BACKGROUND: There is no evidence from randomized controlled trials (RCTs) comparing robot-assisted partial nephrectomy (RAPN) and open partial nephrectomy (OPN).

Study of the Feasibility of Decoupling Temperature and Strain from a -PA-OFDR over an SMF Using Neural Networks.

Sensors (Basel, Switzerland)
Despite several existing techniques for distributed sensing (temperature and strain) using standard Single-Mode optical Fiber (SMF), compensating or decoupling both effects is mandatory for many applications. Currently, most decoupling techniques req...

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

European journal of radiology
BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among less-experienced readers.

A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

Journal of computer assisted tomography
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction technique) for 3 T magnetic resonance imaging of the female pelvis.