AIMC Topic: United States

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Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.

The Lancet. Digital health Sep 1, 2022
BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlining clinical tasks. However, most studies remain confined to in silico validation in small internal cohorts, without external validation or data on real...
United States Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Deep Learning Lung Neoplasms Humans Artificial Intelligence Algorithms
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CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Clinical outcome prediction plays an important role in stroke patient management. From a machine learning point-of-view, one of the main challenges is dealing with heterogeneous data at patient admission, i.e. the image data which are multidimensiona...
Magnetic Resonance Imaging Stroke Records Humans Neural Networks, Computer United States
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Role of Robotic Surgery in Benign Gynecology.

Obstetrics and gynecology clinics of North America Jun 1, 2022
Since Food and Drug Administration approval in 2005, use of the robotic device in gynecologic surgery has continued to increase. There has been a growing number of applications in various surgical specialties including gynecology, and the surgical ro...
Gynecologic Surgical Procedures Gynecology Laparoscopy Robotic Surgical Procedures Humans Female United States Robotics
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Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.

The Lancet. Digital health Jun 1, 2022
BACKGROUND: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditi...
Humans Deep Learning United States Opioid-Related Disorders Artificial Intelligence Retrospective Studies Adult Referral and Consultation Alcoholism
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Death by Robots? Automation and Working-Age Mortality in the United States.

Demography Apr 1, 2022
The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. population health trends, including rising mortality due to "deaths of despair." Increasing automation-the use of industrial robots to perform tasks previo...
Homicide Automation Drug Overdose Employment United States Robotics Humans Female Male Middle Aged
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Evaluation of a Natural Language Processing Approach to Identify Social Determinants of Health in Electronic Health Records in a Diverse Community Cohort.

Medical care Mar 1, 2022
BACKGROUND: Health care systems in the United States are increasingly interested in measuring and addressing social determinants of health (SDoH). Advances in electronic health record systems and Natural Language Processing (NLP) create a unique oppo...
Sensitivity and Specificity Male Middle Aged Surveys and Questionnaires Adolescent Aged Young Adult Maryland Machine Learning Adult Natural Language Processing District of Columbia Electronic Health Records Algorithms Social Determinants of Health Female Cohort Studies Delivery of Health Care Housing Humans United States
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Something New and Different: The Unified Medical Language System.

Studies in health technology and informatics Feb 1, 2022
Donald A.B. Lindberg M.D. arrived at the U.S. National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computer understand biomedical meaning and to enable retrieval...
Humans United States Knowledge Bases National Library of Medicine (U.S.) Unified Medical Language System
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Bibliometric analyses of applications of artificial intelligence on tuberculosis.

International journal of mycobacteriology Jan 1, 2022
BACKGROUND: Tuberculosis is one of the leading causes of death worldwide affecting mainly low- and middle-income countries. Therefore, the objective is to analyze the bibliometric characteristics of the application of artificial intelligence (AI) in ...
United States Bibliometrics Humans Tuberculosis Artificial Intelligence India
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Machine learning on small size samples: A synthetic knowledge synthesis.

Science progress Jan 1, 2022
Machine Learning is an increasingly important technology dealing with the growing complexity of the digitalised world. Despite the fact, that we live in a 'Big data' world where, almost 'everything' is digitally stored, there are many real-world situ...
International Cooperation United States Bibliometrics Data Mining Machine Learning Big Data
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Trial Approach for Biomedical Products: A Regulatory Perspective.

Combinatorial chemistry & high throughput screening Jan 1, 2022
The modern pharmaceutical industry is transitioning from traditional methods to advanced technologies like artificial intelligence. In the current scenario, continuous efforts are being made to incorporate computational modeling and simulation in dru...
United States Food and Drug Administration Artificial Intelligence Computer Simulation Drug Industry United States Pharmaceutical Preparations
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