.png){kind=icon}
返回
Challenges in translational machine learning
.png){kind=icon}
OA
AI
DOI：10.1007/s00439-022-02439-8.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Machine learning (ML) algorithms are increasingly being used to help implement clinical decision support systems. In this new field, we define as translational machine learning, joint efforts and strong communication between data scientists and clinicians help to span the gap between ML and its adoption in the clinic. These collaborations also improve interpretability and trust in translational ML methods and ultimately aim to result in generalizable and reproducible models. To help clinicians and bioinformaticians refine their translational ML pipelines, we review the steps from model building to the use of ML in the clinic. We discuss experimental setup, computational analysis, interpretability and reproducibility, and emphasize the challenges involved. We highly advise collaboration and data sharing between consortia and institutes to build multi-centric cohorts that facilitate ML methodologies that generalize across centers. In the end, we hope that this review provides a way to streamline translational ML and helps to tackle the challenges that come with it.
Keyword:
ARTIFICIAL-INTELLIGENCE
DIABETIC-RETINOPATHY
EXPERIMENTAL-DESIGN
PREDICTION
CANCER
VALIDATION
SELECTION
HEALTH
FLOW
PERFORMANCE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
4.6K
被引数:
8.9K
机构
引用论文
A comparative study of local quantum Fisher information and local quantum uncertainty in Heisenberg XY model海森堡XY模型中局部量子Fisher信息和局部量子不确定性的比较研究OAAI
OAAI分享收藏The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database基于人工智能的FDA批准的医疗设备和算法的状态: 在线数据库.png)
NPJ DIGITAL MEDICINEOAAI
NPJ DIGITAL MEDICINEIF15.1
OAAI分享收藏The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care人工智能临床医生学习重症监护脓毒症的最佳治疗策略NATURE MEDICINE
NATURE MEDICINEIF50
PREAI
分享收藏Sensitive detection of rare disease-associated cell subsets via representation learningNATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏分享收藏Dissecting racial bias in an algorithm used to manage the health of populations在用于管理人群健康的算法中剖析种族偏见SCIENCEOAAI
SCIENCEIF45.8
OAAI分享收藏Clinical implementation of AI technologies will require interpretable AI models人工智能技术的临床实施将需要可解释的人工智能模型MEDICAL PHYSICS
MEDICAL PHYSICSIF3.2
PREAI
分享收藏Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning通过整合深度学习，在公开可用的数据集上改进糖尿病视网膜病变的自动检测OAAI
OAAI分享收藏
查看更多内容