標題: Titlebook: Artificial Intelligence and Healthcare; The Impact of Algori Natasha H. Williams Book 2023 The Editor(s) (if applicable) and The Author(s), [打印本頁] 作者: fibrous-plaque 時間: 2025-3-21 18:16
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
作者: 一瞥 時間: 2025-3-21 20:19 作者: landmark 時間: 2025-3-22 03:05 作者: conformity 時間: 2025-3-22 05:00
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作者: 不要嚴酷 時間: 2025-3-22 10:27 作者: 動脈 時間: 2025-3-22 16:55 作者: 用手捏 時間: 2025-3-22 18:03 作者: Irascible 時間: 2025-3-22 22:58 作者: 杠桿 時間: 2025-3-23 02:24
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作者: 堅毅 時間: 2025-3-23 05:36
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.作者: 尊嚴 時間: 2025-3-23 11:03 作者: 飾帶 時間: 2025-3-23 17:50
Artificial Intelligence and Algorithmic Bias, 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.作者: 朦朧 時間: 2025-3-23 18:17
What Are Health Disparities?,ities and their economic costs. Section?. explains the social determinants of health and their impact on health. Section?. justifies algorithmic bias as a social determinant of health. Section?. summarizes key points in the chapter.作者: 小平面 時間: 2025-3-23 23:12 作者: Herd-Immunity 時間: 2025-3-24 04:36 作者: 傻 時間: 2025-3-24 09:11 作者: MILK 時間: 2025-3-24 11:20 作者: cortex 時間: 2025-3-24 14:49
,Rest – zwei Apps arbeiten Hand in Hand,it bias and how it may limit clinical trial participation and impact data quality. Section?. defines implicit bias. Section?. explores research on implicit bias. Section?. discusses data bias and clinical trials. Section?. summarizes key points in this chapter.作者: auxiliary 時間: 2025-3-24 22:21 作者: Systemic 時間: 2025-3-24 23:54 作者: aspect 時間: 2025-3-25 06:10 作者: 憤怒歷史 時間: 2025-3-25 10:59 作者: Forage飼料 時間: 2025-3-25 12:37
https://doi.org/10.1007/978-3-658-45853-9 the treatment of disease. These technologies, especially AI, promise to advance the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. To achieve these ambitious goals, AI depends upon massive streams of data from various sources. S作者: 四目在模仿 時間: 2025-3-25 18:07 作者: sperse 時間: 2025-3-25 22:36 作者: 重疊 時間: 2025-3-26 01:32
,Rest – zwei Apps arbeiten Hand in Hand,alth care provider implicit bias may contribute to health disparities because it influences clinical, diagnostic and treatment decisions, patient-provider communication, patient adherence to treatment recommendations, and treatment outcomes. Moreover, implicit bias may lead to different clinical dec作者: propose 時間: 2025-3-26 07:14
Aspektorientierte Programmierung (AOP),hnology suffers with issues of biased data. Therefore, its usefulness as an instrument to reduce health disparities and improve the health of racial and ethnic minority groups is questionable. Implicit bias, explicit bias, missing data, and the lack of representation and diversity in datasets impact作者: 野蠻 時間: 2025-3-26 08:35
Arnold Lohaus,Marc Vierhaus,Sakari Lemolahapter discusses past and current regulatory proposals on artificial intelligence. Section?. examines the artificial intelligence regulation debate. Section?. focuses on the United States government’s attempts to legislate artificial intelligence. Section?. highlights the regulatory guidance from U.作者: peritonitis 時間: 2025-3-26 13:38
https://doi.org/10.1007/978-3-031-48262-5Ethics; Artificial Intelligence in Health Care; Natural Language Processing; Machine Learning; Deep Lear作者: overhaul 時間: 2025-3-26 19:25 作者: 抗原 時間: 2025-3-27 00:56 作者: Odyssey 時間: 2025-3-27 02:51 作者: 蒸發(fā) 時間: 2025-3-27 09:03
Artificial Intelligence and Healthcare978-3-031-48262-5Series ISSN 2662-9186 Series E-ISSN 2662-9194 作者: gonioscopy 時間: 2025-3-27 09:54
9樓作者: 厭煩 時間: 2025-3-27 14:30
10樓作者: 獨輪車 時間: 2025-3-27 18:52
10樓作者: MUTE 時間: 2025-3-27 23:06
10樓作者: GULF 時間: 2025-3-28 05:43
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