The AIMe registry for artificial intelligence in biomedical research

Early prediction of circulatory failure in the intensive care unit using machine learning

(2020) Stephanie L. Hyland et al.   NATURE MEDICINE

Transparency and reproducibility in artificial intelligence

(2020) Benjamin Haibe-Kains et al.   NATURE

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

(2020) Xiaoxuan Liu et al.   NATURE MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

(2020) Samantha Cruz Rivera et al.   NATURE MEDICINE

The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

(2019) Leo A. Celi et al.   PLoS One

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

The Kipoi repository accelerates community exchange and reuse of predictive models for genomics

(2019) Žiga Avsec et al.   NATURE BIOTECHNOLOGY

Exploring single-cell data with deep multitasking neural networks

(2019) Matthew Amodio et al.   NATURE METHODS

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

(2019) Vadim Demichev et al.   NATURE METHODS

Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs

(2019) Tristan Bepler et al.   NATURE METHODS

The curse(s) of dimensionality

(2018) Naomi Altman et al.   NATURE METHODS

Artificial intelligence faces reproducibility crisis

(2018) Matthew Hutson   SCIENCE

Guidelines for reinforcement learning in healthcare

(2018) Omer Gottesman et al.   NATURE MEDICINE

Why Batch Effects Matter in Omics Data, and How to Avoid Them

(2017) Wilson Wen Bin Goh et al.   TRENDS IN BIOTECHNOLOGY

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

(2016) Wei Luo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Why Most Clinical Research Is Not Useful

(2016) John P. A. Ioannidis   PLOS MEDICINE

Avoiding abundance bias in the functional annotation of posttranslationally modified proteins

(2015) Christian Schölz et al.   NATURE METHODS