- Decision-Making in Artificial Intelligence: Is It Always Correct?
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Kim HS
- KMID: 2466578
- J Korean Med Sci.
- 2020 Jan;35(1):e1.
- doi: 10.3346/jkms.2020.35.e1
No abstract available. -
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- Effects of Emotional Intelligence, Multicultural Perception on Cultural Competence in Nursing Students
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Hye Ri N
- KMID: 2470618
- Health Commun.
- 2019 Dec;14(2):125-131.
- doi: 10.15715/kjhcom.2019.14.2.125
BACKGROUND: The purpose of this study was to investigate the influence of emotional intelligence and multi-cultural perception on the cultural competence of nursing students. METHODS: A Participants consisted of 211 registered... -
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- Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives
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Nam KH, Kim DH, Choi BK, Han IH
- KMID: 2469046
- Neurospine.
- 2019 Dec;16(4):705-711.
- doi: 10.14245/ns.1938388.194
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
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Cheung KM
- KMID: 2469045
- Neurospine.
- 2019 Dec;16(4):703-704.
- doi: 10.14245/ns.1938438.219
No abstract available. -
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- An Application of Artificial Intelligence to Diagnostic Imaging of Spine Disease: Estimating Spinal Alignment From Moiré Images
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Watanabe K, Aoki Y, Matsumoto
- KMID: 2469044
- Neurospine.
- 2019 Dec;16(4):697-702.
- doi: 10.14245/ns.1938426.213
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
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Lenke LG
- KMID: 2469043
- Neurospine.
- 2019 Dec;16(4):695-696.
- doi: 10.14245/ns.19edi.020
No abstract available. -
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- Artificial Intelligence for Adult Spinal Deformity
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Joshi RS, Haddad AF, Lau D, Ames CP
- KMID: 2469042
- Neurospine.
- 2019 Dec;16(4):686-694.
- doi: 10.14245/ns.1938414.207
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
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Perez-Breva L, Shin JH
- KMID: 2469036
- Neurospine.
- 2019 Dec;16(4):640-642.
- doi: 10.14245/ns.1938404.202
No abstract available. -
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- Artificial Intelligence and the Future of Spine Surgery
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Joshi RS, Lau D, Ames CP
- KMID: 2469035
- Neurospine.
- 2019 Dec;16(4):637-639.
- doi: 10.14245/ns.1938410.205
No abstract available. -
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- Effects of Emotional Intelligence and Nursing Working Environment on Nursing Performance of Nurses Caring for Cancer Patients in Small and Medium Hospitals: The Mediating Effect of Communication Competence
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Kang YJ, Jung KI
- KMID: 2467638
- Asian Oncol Nurs.
- 2019 Dec;19(4):233-241.
- doi: 10.5388/aon.2019.19.4.233
PURPOSE: The purpose of this study was to investigate whether the effects of emotional intelligence and working environment on nursing performance of nurses caring for cancer patients in small and... -
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- Cognitive Decline in Korean Patients with Neurocognitive Disorder due to Traumatic Brain Injury: A Control for Premorbid Intelligence
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Hwang KS, Jang SH, Soh MJ, Lee HJ, Lee SY
- KMID: 2467292
- Psychiatry Investig.
- 2019 Dec;16(12):889-895.
- doi: 10.30773/pi.2019.0129
OBJECTIVE: Previous studies of cognitive decline in patients with neurocognitive disorder due to traumatic brain injury (NCD-TBI) have often failed to control for baseline factors such as premorbid intelligence. The... -
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- The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review
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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
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Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A
- KMID: 2462223
- Healthc Inform Res.
- 2019 Oct;25(4):248-261.
- doi: 10.4258/hir.2019.25.4.248
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
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Lee SM, Park CM
- KMID: 2459013
- J Korean Soc Radiol.
- 2019 Sep;80(5):872-879.
- doi: 10.3348/jksr.2019.80.5.872
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
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Jang IJ
- KMID: 2458946
- Transl Clin Pharmacol.
- 2019 Sep;27(3):87-88.
- doi: 10.12793/tcp.2019.27.3.87
No abstract available. -
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- Emotional Intelligence, Problem Solving Ability, Self Efficacy, and Clinical Performance among Nursing Students: A Structural Equation Model
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Kim MS, Sohn SK
- KMID: 2455720
- Korean J Adult Nurs.
- 2019 Aug;31(4):380-388.
- doi: 10.7475/kjan.2019.31.4.380
PURPOSE: This study aimed to construct and test the structural relationships between self efficacy and clinical performance among undergraduate nursing students. The model was based on Bandura's self efficacy theory... -
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- AI in Medicine: Need of Orchestration for High-Performance
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Choi J
- KMID: 2457465
- Healthc Inform Res.
- 2019 Jul;25(3):139-140.
- doi: 10.4258/hir.2019.25.3.139
No abstract available. -
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- Risk Assessment of Secondary Primary Malignancies in Nasopharyngeal Carcinoma: A Big-Data Intelligence Platform-Based Analysis of 6,377 Long-term Survivors from an Endemic Area Treated with Intensity-Modulated Radiation Therapy during 2003–2013
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Zhang LL, Li GH, Li YY, Qi ZY, Lin AH, Sun Y
- KMID: 2454290
- Cancer Res Treat.
- 2019 Jul;51(3):982-991.
- doi: 10.4143/crt.2018.298
PURPOSE: The incidence, risk factors and survival impact of secondary primary malignancies (SPMs) among survivors of nasopharyngeal carcinoma (NPC) treated with definitive intensity-modulated radiation therapy (IMRT) with or without chemotherapy... -
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- Can artificial Intelligence Prediction Algorithms Exceed Statistical Predictions?
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Park J
- KMID: 2450396
- Korean Circ J.
- 2019 Jul;49(7):640-641.
- doi: 10.4070/kcj.2019.0110
No abstract available. -
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- Emotional intelligence in medical students: should we be assessing this more vigorously during the admissions process?
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Shaikh FA, Gilmour J
- KMID: 2452118
- Korean J Med Educ.
- 2019 Jun;31(2):177-178.
- doi: 10.3946/kjme.2019.129
No abstract available. -
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