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Decision-Making in Artificial Intelligence: Is It Always Correct?

Kim HS

No abstract available.
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Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives

Nam KH, Kim DH, Choi BK, Han IH

Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical...
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Commentary on An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images

Cheung KM

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An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images

Watanabe K, Aoki Y, Matsumoto

The use of artificial intelligence (AI) as a tool supporting the diagnosis and treatment of spinal diseases is eagerly anticipated. In the field of diagnostic imaging, the possible application of...
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Commentary: Artificial Intelligence for Adult Spinal Deformity

Lenke LG

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Artificial Intelligence for Adult Spinal Deformity

Joshi RS, Haddad AF, Lau D, Ames CP

Adult spinal deformity (ASD) is a complex disease that significantly affects the lives of many patients. Surgical correction has proven to be effective in achieving improvement of spinopelvic parameters as...
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Artificial Intelligence in Neurosurgery: A Comment on the Possibilities

Perez-Breva L, Shin JH

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Artificial Intelligence and the Future of Spine Surgery

Joshi RS, Lau D, Ames CP

No abstract available.
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The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review

Song DY, Kim SY, Bong G, Kim JM, Yoo HJ

  • KMID: 2464246
  • J Korean Acad Child Adolesc Psychiatry.
  • 2019 Oct;30(4):145-152.
  • doi: 10.5765/jkacap.190027
OBJECTIVES: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective data-driven method for screening and diagnosing ASD, many studies have attempted to...
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Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods

Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A

OBJECTIVES: The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision...
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Application of Artificial Intelligence in Lung Cancer Screening

Lee SM, Park CM

Lung cancer is a leading cause of deaths due to cancer, worldwide. At present, low-dose computed tomography (CT) is the only established screening method for reducing lung cancer mortality. However,...
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Artificial intelligence in drug development: clinical pharmacologist perspective

Jang IJ

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AI in Medicine: Need of Orchestration for High-Performance

Choi J

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Can artificial Intelligence Prediction Algorithms Exceed Statistical Predictions?

Park J

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Medical Image Analysis Using Artificial Intelligence

Yoon HJ, Jeong YJ, Kang H, Jeong JE, Kang DY

PURPOSE: Automated analytical systems have begun to emerge as a database system that enables the scanning of medical images to be performed on computers and the construction of big data....
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Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis

Nam S, Sohn MK, Kim HA, Kong HJ, Jung IY

OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an...
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Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks

Kim H, Jung DC, Choi BW

Due to rapid developments in the deep learning model, artificial intelligence (AI) models are expected to enhance clinical diagnostic ability and work efficiency by assisting physicians. Therefore, many hospitals and...
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Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science

Kim JH

We are witnessing the big wave of Industrial Revolution 4.0, enabled by artificial intelligence (AI) and big data, which has shaken the entire industry and day-to-day life as well as...
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The Role of medical doctor in the era of artificial intelligence

Seo JB

Recent advances in new technologies such as artificial intelligence, big data, and virtual reality have led to significant innovations in various industries. Artificial intelligence, particularly in applications using deep learning...
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Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

Kim DW, Jang HY, Kim KW, Shin Y, Park SH

OBJECTIVE: To evaluate the design characteristics of studies that evaluated the performance of artificial intelligence (AI) algorithms for the diagnostic analysis of medical images. MATERIALS AND METHODS: PubMed MEDLINE and Embase...
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