Koios DS
General Information
Product name
Company
Subspeciality
Modality
Disease targeted
Main task
Not specified
Technical Specifications
Population
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Pathway:
510(k) cleared
Class:
Class II
Other certifications
Not specified
Market Presence
On market since
AI Platforms
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Countries present
Paying clinical customers
Research/test users
Pricing Information
Pricing model
Based on
Evidence & Research
Peer-Reviewed Papers
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Impact of an artificial intelligence decision support system among radiologists with different levels of experience in breast ultrasound: A prospective study in a tertiary center
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Investigation of artificial intelligence–based clinical decision support system’s performance in reducing the fine needle aspiration rate of thyroid nodules: A pilot study
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Artificial Intelligence in Diagnostic Breast Ultrasound: A Comparative Analysis of Decision Support Among Radiologists With Various Levels of Expertise
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Avoidable biopsies? Validating artificial intelligence–based decision support software in indeterminate thyroid nodules
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Assessment of the Diagnostic Performance of a Commercially Available Artificial Intelligence Algorithm for Risk Stratification of Thyroid Nodules on Ultrasound
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Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation
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A role for breast ultrasound Artificial Intelligence decision support in the evaluation of small invasive lobular carcinomas
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Toward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting
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Can an Artificial Intelligence Decision Aid Decrease False-Positive Breast Biopsies?
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Impact of Original and Artificially Improved Artificial Intelligence–based Computer-aided Diagnosis on Breast US Interpretation
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Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems
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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment
Technical Papers
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SIIM2018 - Artificial Intelligence in Breast Ultrasound: Moving from Standalone Performance to the Physician-system Interface
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SPMB 2016 - Decision Quality Support in Diagnostic Breast Ultrasound through Artificial Intelligence
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Artificial intelligence in low- And middle-income countries: Innovating global health radiology
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RSNA 2020 - Mango - Decreasing Benign Breast Ultrasound Biopsies: Prospective Use of AI Decision Support
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SIIM 2021 - Barinov - Improving the Efficacy of TI-RADS Through Artificial Intelligence
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SBI ACR Breast Imaging Symposium 2020 - Cavallo - AI Analysis of Ultrasound Images Could Decrease Benign Breast Biopsies
Source: vendor | First published: Oct 24, 2023 | Last updated: Jul 9, 2025