AIMC Topic: Feasibility Studies

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Artificial intelligence to detect tympanic membrane perforations.

The Journal of laryngology and otology Apr 2, 2020
OBJECTIVE: To explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings.
Artificial Intelligence Algorithms Retrospective Studies Mass Screening Humans Neural Networks, Computer Feasibility Studies Tympanic Membrane Tympanic Membrane Perforation Otoscopy
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Anti-Bacterial Agents ROC Curve Female Antiviral Agents Antifungal Agents Skin Neoplasms Humans Skin Image Interpretation, Computer-Assisted Feasibility Studies Glucocorticoids Dermoscopy Adult Dermatologists Photography Aged Deep Learning Datasets as Topic Internship and Residency Male Young Adult Clinical Competence Skin Diseases Middle Aged Drug Therapy, Computer-Assisted Adolescent Dermatology
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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...
Humans Neural Networks, Computer Databases, Factual Electronic Health Records Hypertension Feasibility Studies Blood Pressure Determination Practice Guidelines as Topic Monitoring, Physiologic Patient Care Planning Blood Pressure Antihypertensive Agents
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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 ...
Sensitivity and Specificity Deep Learning Computer Systems Metals Safety Management Image Interpretation, Computer-Assisted Datasets as Topic Limit of Detection Feasibility Studies Humans Neural Networks, Computer Algorithms Weapons Electromagnetic Phenomena Clothing Crime Security Measures
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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).
Germany Tetralogy of Fallot Magnetic Resonance Imaging, Cine Predictive Value of Tests Female Registries Risk Factors Feasibility Studies Young Adult Adolescent Image Interpretation, Computer-Assisted Adult Time Factors Risk Assessment Child Humans Diagnosis, Computer-Assisted Electrocardiography Male Prospective Studies Deep Learning Middle Aged Prognosis
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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).
Kidney Neoplasms Nephrectomy Humans Laparoscopy Robotic Surgical Procedures Feasibility Studies Treatment Outcome Robotics
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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...
Four-Dimensional Computed Tomography Fluoroscopy Humans Feasibility Studies Deep Learning Phantoms, Imaging Image Processing, Computer-Assisted Movement Lung Neoplasms
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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...
Computer Simulation Robotics Feasibility Studies Models, Biological Humans Motion Biomimetic Materials Leg Reflex
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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.
Humans Enhanced Recovery After Surgery Robotics Male Prostatectomy Robotic Surgical Procedures Treatment Outcome Preoperative Exercise Patient Discharge Feasibility Studies
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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...
Adenoma, Oxyphilic Humans Tomography, X-Ray Computed Retrospective Studies Diagnosis, Differential Deep Learning Feasibility Studies Kidney Neoplasms Image Processing, Computer-Assisted Carcinoma, Renal Cell
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