ArticleAnnals of translational medicine2019
The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence.
Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.BMC medical informatics and decision making · 2021Pooled it
- Why do AI projects fail in drug development and pharma? Insights from multi-year Pistoia Alliance studies.Journal of computer-aided molecular design · 2026Article
- Data-efficient Neuroradiology MRI Imaging Protocol Prediction Using Open-weights Large Language Models.Clinical neuroradiology · 2026Article
- Artificial intelligence and medical futility.BMC medical informatics and decision making · 2026Review
- Article
- Dimensions of Human-Machine Combination: Prompting the Development of Deployable Intelligent Decision Systems for Situated Clinical Contexts.Computer supported cooperative work : CSCW : an international journal · 2025Article
- Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study.NPJ digital medicine · 2024Article
- Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation.JMIR medical informatics · 2024Article
- Managing Risk and Quality of AI in Healthcare: Are Hospitals Ready for Implementation?Risk management and healthcare policy · 2024Article
- An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach.Frontiers in psychiatry · 2024Article
- Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH).Journal of responsible technology · 2022Article
- Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.NPJ digital medicine · 2022Review
- The value of real world evidence: The case of medical cannabis.Frontiers in psychiatry · 2022Review
- The future regulation of artificial intelligence systems in healthcare services and medical research in the European Union.Frontiers in genetics · 2022Article
- PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy.Journal of clinical medicine · 2021Article
- External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count.Health information science and systems · 2021Article
- An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation.Journal of translational medicine · 2021Article
- An Overview of Supervised Machine Learning Methods and Data Analysis for COVID-19 Detection.Journal of healthcare engineering · 2021Review
- As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.BMC medical informatics and decision making · 2020Article
- Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study.Journal of medical systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.