ArticleJournal of medical Internet research2020
Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Virtual assistants based on artificial intelligence for oral diagnosis: help for clinicians AI oral diagnosis helper.Diagnostic pathology · 2026Article
- Diagnostic Performance of ChatGPT-4.0 in Histopathological Analysis of Gliomas: A Single Institution Experience.Neuropathology : official journal of the Japanese Society of Neuropathology · 2025Article
- The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems.Healthcare (Basel, Switzerland) · 2025Article
- AI classification of knee prostheses from plain radiographs and real-world applications.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Article
- Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.Journal of medical Internet research · 2025Article
- Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation.JMIR medical informatics · 2024Article
- Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review.PLOS digital health · 2024Review
- ChatGPT's Response Consistency: A Study on Repeated Queries of Medical Examination Questions.European journal of investigation in health, psychology and education · 2024Article
- Artificial Intelligence-Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study.Journal of medical Internet research · 2023Article
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- A Clinical Decision Support System for the Prediction of Quality of Life in ALS.Journal of personalized medicine · 2022Article
- Should we adopt a prognosis-based approach to unexplained infertility?Human reproduction open · 2022Article
- How Clinicians Perceive Artificial Intelligence-Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach.Journal of medical Internet research · 2021Article
- Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study.JMIR human factors · 2021Article
- Association of radiation dose intensity with overall survival in patients with distant metastases.Cancer medicine · 2021Article
- An Assistive Role of a Machine Learning Network in Diagnosis of Middle Ear Diseases.Journal of clinical medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In contrast with medical imaging diagnostics powered by artificial intelligence (AI), in which deep learning has led to breakthroughs in recent years, patient outcome prediction poses an inherently challenging problem because it focuses on events that have not yet occurred. Interestingly, the performance of machine learning-based patient outcome prediction models has rarely been compared with that of human clinicians in the literature. Human intuition and insight may be sources of underused predictive information that AI will not be able to identify in electronic data. Both human and AI predictions should be investigated together with the aim of achieving a human-AI symbiosis that synergistically and complementarily combines AI with the predictive abilities of clinicians.
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Registered trials
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