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Alle Papers – Machine Learning im Gesundheitswesen

98.798 Papers insgesamt · Seite 1 von 400

1.

"Why Should I Trust You?"

2016·14.486 Zit.
2.

A Comprehensive Survey on Graph Neural Networks

2020·8.788 Zit.·IEEE Transactions on Neural Networks and Learning SystemsOA
3.

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

2019·8.341 Zit.·Nature Machine IntelligenceOA
4.

High-performance medicine: the convergence of human and artificial intelligence

2018·7.791 Zit.·Nature Medicine
5.

Artificial intelligence in healthcare: past, present and future

2017·4.462 Zit.·Stroke and Vascular NeurologyOA
6.

Analysis of Survival Data.

1985·4.382 Zit.·Biometrics
7.

A guide to deep learning in healthcare

2018·4.380 Zit.·Nature Medicine
8.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

2015·3.872 Zit.·BMJOA
9.

Machine Learning in Medicine

2019·3.706 Zit.·New England Journal of Medicine
10.

The potential for artificial intelligence in healthcare

2019·3.506 Zit.·Future Healthcare JournalOA
11.

Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

2023·3.405 Zit.·PLOS Digital HealthOA
12.

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

2016·3.369 Zit.·New England Journal of MedicineOA
13.

Machine Learning in Medicine

2015·3.338 Zit.·CirculationOA
14.

Large language models in medicine

2023·3.028 Zit.·Nature Medicine
15.

Deep learning for healthcare: review, opportunities and challenges

2017·2.903 Zit.·Briefings in BioinformaticsOA
16.

An overview of clinical decision support systems: benefits, risks, and strategies for success

2020·2.679 Zit.·npj Digital MedicineOA
17.

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

2023·2.625 Zit.·BMC Medical EducationOA
18.

Self-Attentive Sequential Recommendation

2018·2.613 Zit.
19.

MIMIC-IV, a freely accessible electronic health record dataset

2023·2.506 Zit.·Scientific DataOA
20.

Scalable and accurate deep learning with electronic health records.

2018·2.401 Zit.
21.

Learning Important Features Through Propagating Activation Differences

2017·2.366 Zit.·arXiv (Cornell University)OA
22.

The future of digital health with federated learning

2020·2.311 Zit.·npj Digital MedicineOA
23.

Scalable and accurate deep learning with electronic health records

2018·2.290 Zit.·npj Digital MedicineOA
24.

Key challenges for delivering clinical impact with artificial intelligence

2019·2.290 Zit.·BMC MedicineOA
25.

The “All of Us” Research Program

2019·2.239 Zit.·New England Journal of MedicineOA