ArticleJournal of Korean medical science2020
Decision-Making in Artificial Intelligence: Is It Always Correct?
Article 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. Cited by 8 papers.
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
8 citing papers in PubMed.
- The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use.Journal of Korean medical science · 2023Review
- Physician Knowledge Base: Clinical Decision Support Systems.Yonsei medical journal · 2022Review
- Towards Telemedicine Adoption in Korea: 10 Practical Recommendations for Physicians.Journal of Korean medical science · 2021Review
- Future and Development Direction of Digital Healthcare.Healthcare informatics research · 2021Article
- On the Commoditization of Artificial Intelligence.Frontiers in psychology · 2021Review
- Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits.Journal of Korean medical science · 2020Review
- Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare.Endocrinology and metabolism (Seoul, Korea) · 2020Review
- Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration.Endocrinology and metabolism (Seoul, Korea) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
PubMed holds no abstract for this paper.
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.