The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: Journal of Korean Medical Science - August 7, 2023 Category: Biomedical Science Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use
J Korean Med Sci. 2023 Aug 7;38(31):e253. doi: 10.3346/jkms.2023.38.e253.ABSTRACTArtificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies ...
Source: J Korean Med Sci - August 7, 2023 Category: General Medicine Authors: Ji-Won Chun Hun-Sung Kim Source Type: research
Ophthalmological findings in brucellosis
CONCLUSION: Ocular involvement should be kept in mind in patients with brucellosis, especially acute, and brucellosis should be included in the differential diagnosis of patients with anterior uveitis living in endemic areas, since the clinical presentation of the disease may not be overt.PMID:37541801 | DOI:10.1016/j.jfo.2023.02.017 (Source: Journal Francais d Ophtalmologie)
Source: Journal Francais d Ophtalmologie - August 4, 2023 Category: Opthalmology Authors: Y Karakurt F Karake çili Source Type: research
What We Know About Intracranial Hypertension in Children With Syndromic Craniosynostosis
CONCLUSIONS: Development of ICH is influenced by different aspects of sCS: deflection of skull growth, obstructive sleep apnea, venous hypertension, obstruction of CSF flow, and possibly reduced CSF absorption. Problems in cognition and behavior are more likely because of genetic origin. Cortical thinning and problems in visual function are likely the result of ICH.PMID:37487059 | DOI:10.1097/SCS.0000000000009517 (Source: Hand Surgery)
Source: Hand Surgery - July 24, 2023 Category: Surgery Authors: Priya N Doerga Robbin de Goederen Marie-Lise C van Veelen Koen F M Joosten Robert C Tasker Irene M J Mathijssen Source Type: research
