AIMC Topic: Feasibility Studies

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Using chatbots to screen for heritable cancer syndromes in patients undergoing routine colonoscopy.

Journal of medical genetics Nov 9, 2020
BACKGROUND: Hereditary colorectal cancer (HCRC) syndromes account for 10% of colorectal cancers but remain underdiagnosed. This feasibility project tested the utility of an artificial intelligence-based chatbot deployed to patients scheduled for colo...
Reproducibility of Results Aged Adult Sensitivity and Specificity Colorectal Neoplasms Humans Artificial Intelligence Female Genetic Testing Feasibility Studies Genetic Counseling Neoplastic Syndromes, Hereditary Male Middle Aged Colonoscopy Surveys and Questionnaires Early Detection of Cancer
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Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

Journal of gastroenterology Nov 5, 2020
BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Humans Treatment Outcome Adult Feasibility Studies Electric Impedance Artificial Intelligence Male Gastroesophageal Reflux Prospective Studies Linear Models Middle Aged Proton Pump Inhibitors Female Proof of Concept Study Case-Control Studies Esophageal pH Monitoring Aged ROC Curve
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Feasibility study of range verification based on proton-induced acoustic signals and recurrent neural network.

Physics in medicine and biology Nov 5, 2020
Range verification in proton therapy is a critical quality assurance task. We studied the feasibility of online range verification based on proton-induced acoustic signals, using a bidirectional long-short-term-memory recurrent neural network and var...
Acoustics Radiotherapy Dosage Monte Carlo Method Phantoms, Imaging Humans Proton Therapy Neural Networks, Computer Signal Processing, Computer-Assisted Feasibility Studies
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Convolutional neural network based proton stopping-power-ratio estimation with dual-energy CT: a feasibility study.

Physics in medicine and biology Nov 3, 2020
Dual-energy computed tomography (DECT) has shown a great potential for lowering range uncertainties, which is necessary for truly leveraging the Bragg peak in proton therapy. However, analytical stopping-power-ratio (SPR) estimation methods have limi...
Calibration Signal-To-Noise Ratio Phantoms, Imaging Proton Therapy Uncertainty Tomography, X-Ray Computed Male Image Processing, Computer-Assisted Prostatic Neoplasms Humans Feasibility Studies Neural Networks, Computer Protons
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Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.

Human movement science Oct 22, 2020
There are tremendous opportunities to advance science, clinical care, sports performance, and societal health if we are able to develop tools for monitoring musculoskeletal loading (e.g., forces on bones or muscles) outside the lab. While wearable se...
Feasibility Studies Young Adult Musculoskeletal Physiological Phenomena Running Adult Humans Tibia Biomechanical Phenomena Machine Learning Male Foot Algorithms Wearable Electronic Devices Shoes Female
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The Use of Artificial Neural Network to Predict Surgical Outcomes After Inguinal Hernia Repair.

The Journal of surgical research Oct 21, 2020
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Risk Assessment Postoperative Complications Adolescent Hospital Mortality Logistic Models Treatment Outcome Elective Surgical Procedures Feasibility Studies Patient Readmission Quality Improvement Aged, 80 and over Young Adult Adult Male Middle Aged Neural Networks, Computer Female Risk Factors Humans Aged Herniorrhaphy Hernia, Inguinal
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Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks.

Gastroenterology Oct 21, 2020
BACKGROUND AND AIMS: Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in clinical practice but done infrequently. It is required in clinical trials, where it is expensive and slow because human central readers are needed. A ma...
Colon Colonoscopy Severity of Illness Index Humans Feasibility Studies Prospective Studies Deep Learning Young Adult Treatment Outcome Female Adolescent Video Recording Adult Aged Antibodies, Monoclonal, Humanized Image Interpretation, Computer-Assisted Male Observer Variation Middle Aged Colitis, Ulcerative Intestinal Mucosa Predictive Value of Tests
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Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.

Clinical physiology and functional imaging Oct 18, 2020
INTRODUCTION: Lymph node metastases are a key prognostic factor in prostate cancer (PCa), but detecting lymph node lesions from PET/CT images is a subjective process resulting in inter-reader variability. Artificial intelligence (AI)-based methods ca...
Survival Analysis Image Interpretation, Computer-Assisted Aged, 80 and over Adult Male Middle Aged Lymph Nodes Lymphatic Metastasis Predictive Value of Tests Positron Emission Tomography Computed Tomography Prostatic Neoplasms Feasibility Studies Humans Artificial Intelligence Aged
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Feasibility, safety and efficacy of argon beam coagulation in robot-assisted partial nephrectomy for solid renal masses ≤ 7 cm in size.

Journal of robotic surgery Oct 13, 2020
One of the most important steps of the partial nephrectomy (PN) is hemostatic control of tumor bed which also effects the warm ischemia time (WIT). Argon beam coagulation (ABC) for decades is a well-known method for surface controls during major open...
Nephrectomy Argon Plasma Coagulation Robotic Surgical Procedures Feasibility Studies Neoplasm Recurrence, Local Kidney Neoplasms Humans Retrospective Studies Treatment Outcome Robotics
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Early Feasibility of Automated Artificial Intelligence Angiography Based Fractional Flow Reserve Estimation.

The American journal of cardiology Oct 13, 2020
Despite the evidence of improved patients' outcome, fractional flow reserve (FFR) is underused in current everyday practice. We aimed to evaluate the feasibility of a novel automated artificial intelligence angiography-based FFR software (AutocathFFR...
Predictive Value of Tests Female Coronary Angiography Male Coronary Artery Disease Middle Aged Feasibility Studies Humans Time Factors Fractional Flow Reserve, Myocardial Coronary Vessels Artificial Intelligence ROC Curve Prospective Studies
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