Titlebook: Artificial Intelligence and Healthcare; The Impact of Algori Natasha H. Williams Book 2023 The Editor(s) (if applicable) and The Author(s),

fibrous-plaque

書目名稱Artificial Intelligence and Healthcare影響因子(影響力)




書目名稱Artificial Intelligence and Healthcare影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence and Healthcare網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence and Healthcare網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence and Healthcare被引頻次




書目名稱Artificial Intelligence and Healthcare被引頻次學(xué)科排名




書目名稱Artificial Intelligence and Healthcare年度引用




書目名稱Artificial Intelligence and Healthcare年度引用學(xué)科排名




書目名稱Artificial Intelligence and Healthcare讀者反饋




書目名稱Artificial Intelligence and Healthcare讀者反饋學(xué)科排名

一瞥

landmark

conformity

The Inclusion of Racial and Ethnic Minority Groups in Clinical Trials,ent, protocol, or device. The participation of racial and ethnic minority groups in clinical trials research is crucial to ensure data quality and generalizability. Most clinical trials lack adequate participation of racial and ethnic minority groups. One reason is mistrust due to a history of scien

不要嚴(yán)酷

動(dòng)脈

用手捏

Irascible

杠桿

2662-9186 st to a broad audience, including health services researcher.This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social det

堅(jiān)毅

https://doi.org/10.1007/978-3-658-45853-9 treatment outcomes, and decrease patient mortality. To achieve these ambitious goals, AI depends upon massive streams of data from various sources. Section?. defines AI. Section?. describes data. Section?. explores data and algorithmic bias. Section?. discusses race-based algorithms. Section?. summarizes key points in the chapter.