Lifecycle Regulation of Artificial Intelligence- and Machine Learning-Based Software Devices in Medicine.

By T. Hwang, A. Kesselheim, K. N. Vokinger. 2019

125 citations recorded by the source corpus.

Subfields: General Health Professions, Health Informatics, Public Health, Environmental and Occupational Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Leo Anthony Celi

In Health Informatics

1. Leo Anthony Celi

In Public Health, Environmental and Occupational Health

1. Leo Anthony Celi

Citations in the corpus

• Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine (2020, background): “In January 2018, Arterys Oncology DL (Arterys), which can help clinicians to rapidly measure and track lesions and nodules on MRI and computed tomography (CT) scans, received FDA approval [50].”
• Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review (2022, background): “, pre-existing AI/ML devices), [62] has been one of the primary approval pathways for such medical devices in the U.”