ReviewJournal of Korean medical science2020
Artificial Intelligence in Health Care: Current Applications and Issues.
Review in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Application and prospect of machine learning in orthopaedic trauma].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023Pooled it
- Artificial Intelligence for Diagnostic and Prognostic Support in Breast Cancer: A Literature Overview.Cancers · 2026Review
- The Interface of Artificial Intelligence and the Electronic Medical Record in Orthopaedic Surgery: Current Applications and Future Directions.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- Patient and Staff Safety Incidents in Korean Dental Practice: Implications for Quality of Care and Safer Healthcare Delivery.Healthcare (Basel, Switzerland) · 2026Article
- Acceptance of Artificial Intelligence in Clinical Practice Among Chinese Physicians: Nationwide Cross-Sectional Survey Using Extended Unified Theory of Acceptance and Use of Technology and Explainable Machine Learning.JMIR medical informatics · 2026Article
- Integrating Artificial Intelligence into Breast Cancer Histopathology: Toward Improved Diagnosis and Prognosis.Cancers · 2026Review
- Enhancing ECG Classification Generalization Through Unified Multi-Dataset Training.Sensors (Basel, Switzerland) · 2026Article
- Attitudes and readiness of nursing students practising in surgical units towards artificial intelligence: a cross-sectional study.BMC medical education · 2026Article
- Artificial intelligence applications in oxaliplatin-based chemotherapy for colon cancer: advancing prognosis, toxicity prediction, and dose personalization.Frontiers in pharmacology · 2026Review
- Predicting mortality in non-traumatic intracerebral hemorrhage with glucose and lipid data.Frontiers in endocrinology · 2026Article
- Ethical Use of Artificial Intelligence for Processing Medical Images.Journal of Korean medical science · 2025Article
- A Novel Machine Learning Approach to Assist Early Diagnosis of Diffuse Panbronchiolitis.Journal of Korean medical science · 2025Article
- Workflow analysis and evaluation of a next-generation phenotyping tool: A qualitative study of Face2Gene.European journal of human genetics : EJHG · 2025Article
- Referential hallucination and clinical reliability in large language models: a comparative analysis using regenerative medicine guidelines for chronic pain.Rheumatology international · 2025Article
- A New Approach for Chagas Disease Screening Using Serum Infrared Spectroscopy and Machine Learning Algorithms.ACS infectious diseases · 2025Article
- [Analysis of the global registration status of clinical trials for artificial intelligence medical device].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire.JMIR mHealth and uHealth · 2025Review
- Article
- Global Research Trends, Hotspots, Impacts, and Emergence of Artificial Intelligence and Machine Learning in Health and Medicine: A 25-Year Bibliometric Analysis.Healthcare (Basel, Switzerland) · 2025Review
- Are Hospital Pharmacists Ready for Precision Medicine in Nigerian Healthcare? Insights From a Multi-Center Study.Health care science · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low; moreover, there are various concerns regarding the safety and reliability of AI technology implementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.