AIMC Topic: United States

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Marketable value estimation of patents using ensemble learning methodology: Focusing on U.S. patents for the electricity sector.

PloS one Sep 13, 2021
Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. When machine learning is used, a quantitative evaluation based on a large volume of data is po...
Electricity Humans Algorithms Marketing United States Neural Networks, Computer Patents as Topic Regression Analysis Machine Learning Data Mining
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Artificial Intelligence (AI) approach to identifying factors that determine systolic blood pressure in type 2 diabetes (study from the LOOK AHEAD cohort).

Diabetes & metabolic syndrome Sep 11, 2021
BACKGROUND AND AIMS: Artificial Intelligence (AI) methods have recently become critical for research in diabetes in the era of big-data science.
Artificial Intelligence Biomarkers Prognosis Female Humans Hypertension Blood Pressure Determination Follow-Up Studies Randomized Controlled Trials as Topic Blood Pressure Creatinine Albumins Aged Middle Aged Adult Exercise Male Diabetes Mellitus, Type 2 United States
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Event-Driven Deep Learning for Edge Intelligence (EDL-EI).

Sensors (Basel, Switzerland) Sep 8, 2021
Edge intelligence (EI) has received a lot of interest because it can reduce latency, increase efficiency, and preserve privacy. More significantly, as the Internet of Things (IoT) has proliferated, billions of portable and embedded devices have been ...
COVID-19 SARS-CoV-2 Deep Learning United States Humans Artificial Intelligence Pandemics Intelligence Communicable Disease Control
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Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.

Radiology Sep 7, 2021
Background The ability of deep learning (DL) models to classify women as at risk for either screening mammography-detected or interval cancer (not detected at mammography) has not yet been explored in the literature. Purpose To examine the ability of...
Reproducibility of Results Breast Neoplasms Middle Aged Case-Control Studies Humans Prospective Studies Female Mammography Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Deep Learning United States Mass Screening
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Contemporary Pure Laparoscopic Robot-Assisted Laparoscopic Radical Nephrectomy: Is the Transition Worth It?

Journal of endourology Aug 31, 2021
The proportion of robotic procedures continues to rise. The literature reinforces that robotic procedures take longer and are often more costly. We compared cost and perioperative outcomes of laparoscopic radical nephrectomy (LRN) and robot-assisted...
Nephrectomy Humans Retrospective Studies United States Robotics Laparoscopy Kidney Neoplasms
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Malfunction Events in the US FDA MAUDE Database: How Does Robotic Gynecologic Surgery Compare with Other Specialties?

Journal of minimally invasive gynecology Aug 28, 2021
STUDY OBJECTIVE: To review malfunction events (MEs) related to the use of the da Vinci robot reported to the United States Food and Drug Administration Manufacturer and User Facility Device Experience in the last 10 years and compare gynecologic surg...
Female United States Equipment Failure Robotics Humans Gynecologic Surgical Procedures Laparoscopy Robotic Surgical Procedures United States Food and Drug Administration
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Machine Learning-Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative.

Arthritis care & research Aug 26, 2021
OBJECTIVE: By using machine learning, our study aimed to build a model to predict risk and time to total knee replacement (TKR) of an osteoarthritic knee.
Time Factors United States Support Vector Machine Predictive Value of Tests Arthroplasty, Replacement, Knee Knee Prosthesis Osteoarthritis, Knee Decision Support Techniques Risk Factors Risk Assessment Disease Progression Humans Machine Learning
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Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.

International journal of environmental research and public health Aug 26, 2021
Harmonized language is critical for helping researchers to find data, collecting scientific data to facilitate comparison, and performing pooled and meta-analyses. Using standard terms to link data to knowledge systems facilitates knowledge-driven an...
Environmental Health National Institute of Environmental Health Sciences (U.S.) Artificial Intelligence Language United States Knowledge Bases
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Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.

The Lancet. Digital health Aug 17, 2021
BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We therefore aimed to develop and validate deep learning-based classifiers ...
Cohort Studies United States Epstein-Barr Virus Infections Switzerland Microsatellite Instability Italy Japan Stomach Neoplasms Humans Male United Kingdom Retrospective Studies Female Middle Aged Germany Republic of Korea Reproducibility of Results Deep Learning Histological Techniques Aged
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The role of machine learning in clinical research: transforming the future of evidence generation.

Trials Aug 16, 2021
BACKGROUND: Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has not been surveyed. This manuscript reviews the proceedings of a multi-...
United States Food and Drug Administration Humans Artificial Intelligence Machine Learning United States
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