AIMC Topic: Pilot Projects

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Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning.

Journal of computer assisted tomography May 18, 2022
OBJECTIVE: The purpose of this pilot study was to examine human and automated estimates of reporting complexity for computed tomography (CT) studies of the abdomen and pelvis.
Pilot Projects Pelvis Humans Tomography, X-Ray Computed Deep Learning Neural Networks, Computer
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Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study.

Scientific reports May 18, 2022
Our objective was to develop deep learning models with chest radiograph data to predict healthcare costs and classify top-50% spenders. 21,872 frontal chest radiographs were retrospectively collected from 19,524 patients with at least 1-year spending...
Retrospective Studies Deep Learning ROC Curve Radiography Pilot Projects Humans Delivery of Health Care
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Glaucoma diagnosis using multi-feature analysis and a deep learning technique.

Scientific reports May 16, 2022
In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) feature from optical coherence tomography (OCT) images. The data (n = 100 ...
Cross-Sectional Studies Deep Learning Pilot Projects Humans Glaucoma Retinal Ganglion Cells ROC Curve Tomography, Optical Coherence
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Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.

Medical physics May 11, 2022
BACKGROUND: Dose deposition characteristics of proton radiation can be advantageous over photons. Proton treatment planning, however, poses additional challenges for the planners. Proton therapy is usually delivered with only a small number of beam a...
Deep Learning Pilot Projects Liver Humans Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Proton Therapy Protons Radiotherapy Dosage
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Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.

Frontiers in public health May 9, 2022
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and s...
Patient Discharge Pilot Projects Opioid-Related Disorders Humans Analgesics, Opioid Natural Language Processing Hospitals
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Safety and feasibility study of non-invasive robot-assisted high-intensity focused ultrasound therapy for the treatment of atherosclerotic plaques in the femoral artery: protocol for a pilot study.

BMJ open May 2, 2022
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis and/or occlusion of the arterial circulation of the lower extremities. The currently available revascularisation methods have an acceptable initial succ...
Humans Quality of Life Extracorporeal Shockwave Therapy Constriction, Pathologic Atherosclerosis Plaque, Atherosclerotic Femoral Artery Feasibility Studies Peripheral Arterial Disease Robotics Pilot Projects Lower Extremity
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Effect of endoscopic urethral procedures applied after robotic radical prostatectomy on urinary incontinence: A prospective cohort pilot study.

Urologia Apr 26, 2022
OBJECTIVES: The most common complications after radical prostatectomy (RP) are erectile dysfunction (ED) and urinary incontinence (UI). After RP, patients may require endoscopic urethral procedures (EUP) for other urological diseases such as hematuri...
Urinary Incontinence Robotic Surgical Procedures Prostatectomy Male Humans Pilot Projects Prospective Studies Robotics
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Depression screening using a non-verbal self-association task: A machine-learning based pilot study.

Journal of affective disorders Apr 23, 2022
BACKGROUND: Effective screening is important to combat the raising burden of depression and opens a critical time window for early intervention. Clinical use of non-verbal depression screening is nascent, yet a promising and viable candidate to suppl...
Depression Humans Pilot Projects Algorithms Machine Learning Prospective Studies
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From traditional to data-driven medicinal chemistry: A case study.

Drug discovery today Apr 20, 2022
Artificial intelligence (AI) and data science are beginning to impact drug discovery. It usually takes considerable time and efforts until new scientific concepts or technologies make a transition from conceptual stages to practical applicability and...
Drug Discovery Pilot Projects Chemistry, Pharmaceutical Artificial Intelligence
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Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy.

Diseases of the colon and rectum Apr 1, 2022
BACKGROUND: A barrier to the widespread adoption of watch-and-wait management for locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response endoscopically in patients who have completed total neoadjuvant therapy (...
Humans Prospective Studies Neoplasms, Second Primary Pilot Projects Neoadjuvant Therapy Retrospective Studies Rectal Neoplasms Deep Learning
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