AIMC Topic: Practice Guidelines as Topic
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Generative artificial intelligence fails to provide sufficiently accurate recommendations when compared to established breast reconstruction surgery guidelines.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Sep 15, 2023
Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence.
Chinese medical journal
Mar 20, 2022
A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.
Scientific reports
Feb 15, 2022
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...
Clinical implementation of deep-learning based auto-contouring tools-Experience of three French radiotherapy centers.
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Aug 11, 2021
Deep-learning (DL)-based auto-contouring solutions have recently been proposed as a convincing alternative to decrease workload of target volumes and organs-at-risk (OAR) delineation in radiotherapy planning and improve inter-observer consistency. Ho...
Editorial: Artificial Intelligence (AI) in Clinical Medicine and the 2020 CONSORT-AI Study Guidelines.
Medical science monitor : international medical journal of experimental and clinical research
Jun 28, 2021
Artificial intelligence (AI) in clinical medicine includes physical robotics and devices and virtual AI and machine learning. Concerns have been raised regarding ethical issues for the use of AI in surgery, including guidance for surgical decisions, ...
Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.
The British journal of radiology
Jun 9, 2021
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To ...
Ultrasonography
Predictive Value of Tests
Neoplasm Grading
Practice Guidelines as Topic
Biopsy, Fine-Needle
Unnecessary Procedures
Adolescent
Thyroidectomy
Thyroid Neoplasms
Sensitivity and Specificity
Male
Middle Aged
Artificial Intelligence
Humans
Retrospective Studies
Aged
Female
Aged, 80 and over
Adult
Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations.
European journal of physical and rehabilitation medicine
May 5, 2021
INTRODUCTION: Stroke is the third leading cause of adult disability worldwide, and lower extremity motor impairment is one of the major determinants of long-term disability. Although robotic therapy is becoming more and more utilized in research prot...
Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images.
JAMA network open
May 3, 2021
IMPORTANCE: Interstitial fibrosis and tubular atrophy (IFTA) is a strong indicator of decline in kidney function and is measured using histopathological assessment of kidney biopsy core. At present, a noninvasive test to assess IFTA is not available.
Machine-Learning-Based Evaluation of Intratumoral Heterogeneity and Tumor-Stroma Interface for Clinical Guidance.
The American journal of pathology
Apr 22, 2021
Assessment of intratumoral heterogeneity and tumor-host interaction within the tumor microenvironment is becoming increasingly important for innovative cancer therapy decisions because of the unique information it can generate about the state of the ...
Protocol Optimization Considerations for Implementing Deep Learning CT Reconstruction.
AJR. American journal of roentgenology
Apr 14, 2021
Previous advances over filtered back projection (FBP) have incorporated model-based iterative reconstruction. The purpose of this study was to characterize the latest advance in image reconstruction, that is, deep learning. The focus was on applying...
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