AIMC Topic: United States
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Accuracy and clinical relevance of an automated, algorithm-based analysis of facial signs from selfie images of women in the United States of various ages, ancestries and phototypes: A cross-sectional observational study.
Journal of the European Academy of Dermatology and Venereology : JEADV
Sep 9, 2022
BACKGROUND: Real-life validation is necessary to ensure our artificial intelligence (AI) skin diagnostic tool is inclusive across a diverse and representative US population of various ages, ancestries and skin phototypes.
Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.
Journal of translational medicine
Sep 6, 2022
BACKGROUND: With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve...
Big Data Analysis of Benign Interaction of Great Power Relations and New International Relations Based on Deep Learning.
Journal of environmental and public health
Aug 22, 2022
The development of a new type of international relations is the advancement and improvement of diplomatic thinking among contemporary nations. It also serves as a crucial yardstick for assessing the future global pattern and the direction of order ch...
Trends in Robot-Assisted Procedures for General Surgery in the Veterans Health Administration.
The Journal of surgical research
Aug 12, 2022
INTRODUCTION: Implementation of robot-assisted procedures is growing. Utilization within the country's largest healthcare network, the Veterans Health Administration, is unclear.
Characteristics, Impact, and Visibility of Scientific Publications on Artificial Intelligence in Dentistry: A Scientometric Analysis.
The journal of contemporary dental practice
Aug 1, 2022
AIM: To analyze the bibliometric characteristics, impact, and visibility of scientific publications on artificial intelligence (AI) in dentistry in Scopus.
Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era.
Nutrients
Jul 31, 2022
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary intake of essential macro-and micro-nutrients for precision nutrition. We, therefore, validated the accuracy of an internet-based app against the Nutr...
Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets.
Pharmaceutical medicine
Jul 24, 2022
BACKGROUND: The US Food and Drug Administration (FDA) collects and retains several data sets on post-market drugs and associated adverse events (AEs). The FDA Adverse Event Reporting System (FAERS) contains millions of AE reports submitted by the pub...
A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.
Kidney360
Jul 20, 2022
BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and mortality in end-stage kidney disease (ESKD) patients. A machine learning-based tool for predicting mortality could inform patient-clinician shared decisio...
Artificial intelligence at the national eye institute.
Current opinion in ophthalmology
Jul 16, 2022
PURPOSE OF REVIEW: This review highlights the artificial intelligence, machine learning, and deep learning initiatives supported by the National Institutes of Health (NIH) and the National Eye Institute (NEI) and calls attention to activities and goa...
Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System.
BMC pharmacology & toxicology
Jul 13, 2022
BACKGROUND: With diabetes incidence growing globally and metformin still being the first-line for its treatment, metformin's toxicity and overdose have been increasing. Hence, its mortality rate is increasing. For the first time, we aimed to study th...
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