- Prediction of Survival in Patients with Advanced Cancer: A Narrative Review and Future Research Priorities
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Hiratsuka Y, Hamano J, Mori M, Maeda I, Morita T, Suh SY
- KMID: 2540097
- Korean J Hosp Palliat Care.
- 2023 Mar;26(1):1-6.
- doi: 10.14475/jhpc.2023.26.1.1
This paper aimed to summarize the current situation of prognostication for patients with an expected survival of weeks or months, and to clarify future research priorities. Prognostic information is essential... -
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- It is Time to Incorporate Artificial Intelligence in Radiology Residency Programs
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Ng KH, Tan CH
- KMID: 2539637
- Korean J Radiol.
- 2023 Mar;24(3):177-179.
- doi: 10.3348/kjr.2022.1023
With the surge of interest in the development and application of artificial intelligence (AI) in radiology, we propose that know-how on the development and clinical evaluation of AI models needs... -
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- Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial
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Hwang EJ, Goo JM, Nam JG, Park CM, Hong KJ, Kim KH
- KMID: 2539634
- Korean J Radiol.
- 2023 Mar;24(3):259-270.
- doi: 10.3348/kjr.2022.0651
Objective: It is unknown whether artificial intelligence-based computer-aided detection (AI-CAD) can enhance the accuracy of chest radiograph (CR) interpretation in real-world clinical practice. We aimed to compare the accuracy of... -
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- Recent Issues in Medical Journal Publishing and Editing Policies: Adoption of Artificial Intelligence, Preprints, Open Peer Review, Model Text Recycling Policies, Best Practice in Scholarly Publishing 4th Version, and Country Names in Titles
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Huh S
- KMID: 2539941
- Neurointervention.
- 2023 Mar;18(1):2-8.
- doi: 10.5469/neuroint.2022.00493
In Korea, many editors of medical journal are also publishers; therefore, they need to not only manage peer review, but also understand current trends and policies in journal publishing and... -
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- Artificial Intelligence for Neurosurgery : Current State and Future Directions
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Noh SH, Cho PG, Kim KN, Kim SH, Shin DA
- KMID: 2539872
- J Korean Neurosurg Soc.
- 2023 Mar;66(2):113-120.
- doi: 10.3340/jkns.2022.0130
Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various... -
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- Keyword Network Analysis and Topic Modeling of News Articles Related to Artificial Intelligence and Nursing
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Ha JY, Park HJ
- KMID: 2539678
- J Korean Acad Nurs.
- 2023 Feb;53(1):55-68.
- doi: 10.4040/jkan.22117
Purpose: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial intelligence technology in the field of nursing.... -
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- Utilization of an Artificial Intelligence Program Using the Greulich-Pyle Method to Evaluate Bone Age in the Skeletal Maturation Stage
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Kim J, Seo H, Park S, Lee E, Jeong T, Nam OH, Choi S, Shin J
- KMID: 2539899
- J Korean Acad Pediatr Dent.
- 2023 Feb;50(1):89-103.
- doi: 10.5933/JKAPD.2023.50.1.89
The purpose of this study was to measure bone age using an artificial intelligence program based on the Greulich-Pyle (GP) method to find out the bone age corresponding to each... -
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- Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study
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Yoo J, Hur S, Hwang W, Cha WC
- KMID: 2539399
- Healthc Inform Res.
- 2023 Jan;29(1):64-74.
- doi: 10.4258/hir.2023.29.1.64
Objectives: Although medical artificial intelligence (AI) systems that assist healthcare professionals in critical care settings are expected to improve healthcare, skepticism exists regarding whether their potential has been fully actualized.... -
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- Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery
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Chaiprasittikul N, Thanathornwong B, Pornprasertsuk-Damrongsri S, Raocharernporn S, Maponthong S, Manopatanakul S
- KMID: 2539394
- Healthc Inform Res.
- 2023 Jan;29(1):16-22.
- doi: 10.4258/hir.2023.29.1.16
Objectives: Orthognathic surgery is used to treat moderate to severe occlusal discrepancies. Examinations and measurements for preoperative screening are essential procedures. A careful analysis is needed to decide whether cases... -
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- Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
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Meinikheim M, Messmann H, Ebigbo A
- KMID: 2538747
- Clin Endosc.
- 2023 Jan;56(1):14-22.
- doi: 10.5946/ce.2022.247
Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during... -
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- Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
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Yoo JH, Kim JH
- KMID: 2538928
- Diabetes Metab J.
- 2023 Jan;47(1):27-41.
- doi: 10.4093/dmj.2022.0271
Continuous glucose monitoring (CGM) technology has evolved over the past decade with the integration of various devices including insulin pumps, connected insulin pens (CIPs), automated insulin delivery (AID) systems, and... -
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- Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ
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Mun E, Cho J
- KMID: 2537200
- Tuberc Respir Dis.
- 2023 Jan;86(1):23-32.
- doi: 10.4046/trd.2022.0087
Everyone is aware that air and environmental pollutants are harmful to health. Among them, indoor air quality directly affects physical health, such as respiratory rather than outdoor air. However, studies... -
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- Artificial intelligence models for the diagnosis and management of liver diseases
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Nishida N, Kudo M
- KMID: 2537417
- Ultrasonography.
- 2023 Jan;42(1):10-19.
- doi: 10.14366/usg.22110
With the development of more advanced methods for the diagnosis and treatment of diseases, the data required for medical care are becoming complex, and misinterpretation of information due to human... -
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- Applications of artificial intelligence in obstetrics
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Kim HY, Cho GJ, Kwon HS
- KMID: 2537416
- Ultrasonography.
- 2023 Jan;42(1):2-9.
- doi: 10.14366/usg.22063
Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well... -
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- Automatically Diagnosing Skull Fractures Using an Object Detection Method and Deep Learning Algorithm in Plain Radiography Images
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Jeong TS, Yee GT, Kim KG, Kim YJ, Lee SG, Kim WK
- KMID: 2537848
- J Korean Neurosurg Soc.
- 2023 Jan;66(1):53-62.
- doi: 10.3340/jkns.2022.0062
Objective : Deep learning is a machine learning approach based on artificial neural network training, and object detection algorithm using deep learning is used as the most powerful tool in... -
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- Deep learning algorithms for identifying 79 dental implant types
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Kong HJ, Yoo JY, Eom SH, Lee JH
- KMID: 2538517
- J Dent Rehabil Appl Sci.
- 2022 Dec;38(4):196-203.
- doi: 10.14368/jdras.2022.38.4.196
Purpose: This study aimed to evaluate the accuracy and clinical usability of an identification model using deep learning for 79 dental implant types. Materials and Methods: A total of 45396... -
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- Current Updates and Unmet Needs of Brain MRI-Based Artificial Intelligence Software for Patients With Neurodegenerative Diseases in the Republic of Korea
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Jeong SY, Suh CH, Heo H, Shim WH, Kim SJ
- KMID: 2538310
- Investig Magn Reson Imaging.
- 2022 Dec;26(4):237-245.
- doi: 10.13104/imri.2022.26.4.237
In aging societies, incidences of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease are increasing. Neurodegenerative diseases are bringing main challenges to the healthcare system in today’s world. Analyzing... -
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- New Trends in Innovative Technologies Applying Artificial Intelligence to Urinary Diseases
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Oh JK, Lee JY, Eun SJ, Park JM
- KMID: 2537303
- Int Neurourol J.
- 2022 Dec;26(4):268-274.
- doi: 10.5213/inj.2244280.140
Artificial intelligence (AI) is used in various fields of medicine, with applications encompassing all areas of medical services, such as the development of medical robots, the diagnosis and personalized treatment... -
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- Artificial Intelligence for Clinical Research in Voice Disease
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Seok J, Kwon TK
- KMID: 2539105
- J Korean Soc Laryngol Phoniatr Logoped.
- 2022 Dec;33(3):142-155.
- doi: 10.22469/jkslp.2022.33.3.142
Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease... -
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- Domestic development situation of precision nutrition healthcare (PNH) system based on direct-to-consumer (DTC) obese genes
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Kim OY, Lee M, Lee J, Sohn C, Yoon MO
- KMID: 2537838
- J Nutr Health.
- 2022 Dec;55(6):601-616.
- doi: 10.4163/jnh.2022.55.6.601
In the era of the fourth industrial revolution technology, the inclusion of personalized nutrition for healthcare (PNH), when establishing a healthcare platform to prevent chronic diseases such as obesity, diabetes,... -
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