… published in the last decade to identify best practices in terms of procedures, performance
metrics… Finally, a discussion on trends, recommendations, best practices, and advanced topics …

Since its inception in 2017, npj Digital Medicine has attracted a disproportionate number of
manuscripts reporting on uses of artificial intelligence. This field has matured rapidly in the …

… of technologies based on artificial intelligence models in the … analyze the practice of introduction
of artificial intelligence in … companies on the practice of artificial intelligence application, …

… clinical-task-based evaluation of artificial intelligence (AI) algorithms for … We provide best
practices to evaluate AI algorithms for each … Key best practices are tabulated as the RELAINCE (…

… best practices in AI algorithm development. In this article, recommendations on technical best
practices for … with descriptions of how one might practice these principles for specific topics …

… We present consensus-based best practices and pitfalls to avoid when designing, training,
and evaluating new models that are used in glycemic control. This guide compiles lessons …

… on artificial intelligence and machine learning in … best practice in transparent reporting.
Some well-known frameworks are Radiomics Quality Score, 2 checklist for artificial intelligence in …

… In order to evaluate the current status of articles on the subject using our checklist, we
performed a systematic review involving artificial intelligence or machine learning to distinguish …

… Generally, the data from fields are stored on servers where the data are processed/analyzed
using artificial intelligence (AI) mechanisms to optimize the agriculture practices. Figure 1 …

… machine learning and artificial intelligence (AI) ecosystem, we aim to lower the barrier to
entry and accelerate progress in digital pathology research, thus benefiting the entire research …