AIMC Topic: Feasibility Studies
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Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks.
International journal of medical informatics
Mar 21, 2020
BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledg...
Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.
Sensors (Basel, Switzerland)
Mar 17, 2020
The detection of objects concealed under people's clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to ...
Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.
Heart (British Cardiac Society)
Mar 11, 2020
OBJECTIVE: To assess the utility of machine learning algorithms for automatically estimating prognosis in patients with repaired tetralogy of Fallot (ToF) using cardiac magnetic resonance (CMR).
Time Factors
Child
Electrocardiography
Predictive Value of Tests
Diagnosis, Computer-Assisted
Deep Learning
Adolescent
Tetralogy of Fallot
Magnetic Resonance Imaging, Cine
Registries
Feasibility Studies
Image Interpretation, Computer-Assisted
Germany
Female
Risk Factors
Young Adult
Adult
Male
Middle Aged
Risk Assessment
Humans
Prospective Studies
Prognosis
Feasibility and necessity of the fourth arm of the da Vinci Si surgical system for robot-assisted partial nephrectomy.
The international journal of medical robotics + computer assisted surgery : MRCAS
Mar 1, 2020
BACKGROUND: To investigate the feasibility of the fourth arm of the da Vinci Si system for robot-assisted partial nephrectomy (RAPN).
Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study.
The British journal of radiology
Feb 28, 2020
OBJECTIVE: For real-time markerless tumour tracking in stereotactic lung radiotherapy, we propose a different approach which uses patient-specific deep learning (DL) using a personalised data generation strategy, avoiding the need for collection of a...
Bio-inspired neuromuscular reflex based hopping controller for a segmented robotic leg.
Bioinspiration & biomimetics
Feb 24, 2020
It has been shown that human-like hopping can be achieved by muscle reflex control in neuromechanical simulations. However, it is unclear if this concept is applicable and feasible for controlling a real robot. This paper presents a low-cost two-segm...
Same-day discharge surgery for robot-assisted radical prostatectomy in the era of ERAS and prehabilitation pathways: a contemporary, comparative, feasibility study.
World journal of urology
Feb 17, 2020
PURPOSE: To assess the feasibility of same-day discharge (SDD) after robot-assisted radical prostatectomy (RARP) in the context of enhanced recovery after surgery (ERAS) and prehabilitation pathways.
Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning.
BJU international
Feb 6, 2020
OBJECTIVES: To develop and evaluate the feasibility of an objective method using artificial intelligence (AI) and image processing in a semi-automated fashion for tumour-to-cortex peak early-phase enhancement ratio (PEER) in order to differentiate CD...
Computational analysis of morphological and molecular features in gastric cancer tissues.
Cancer medicine
Feb 3, 2020
Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies...
A feasibility study of eye gaze with biofeedback in a human-robot interface.
Assistive technology : the official journal of RESNA
Jan 30, 2020
Play is a vital activity in which children learn skills and explore the environment through object manipulation. Assistive robots have been used to provide access to play, and Forbidden Region Virtual Fixture (FRVF) guidance at the user interface cou...
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