Journal of biomed research最新文献_第3页

Wide-field photoacoustic imaging in a snap with a single-element detector 单元件探测器的宽视场光声成像

Journal of biomed research Pub Date : 2022-12-31 DOI: 10.46439/biomedres.3.024

引用次数: 0

The ergogenic supplements recommendations also apply to the elite soccer player 有益人体健康的补充剂建议也适用于优秀的足球运动员

Journal of biomed research Pub Date : 2022-12-31 DOI: 10.46439/biomedres.3.018

引用次数: 0

Could in vivo histological and gene expression analysis of aged skin be useful for pointing new paths for cosmetics development? 衰老皮肤的体内组织学和基因表达分析能否为化妆品的开发指明新的道路?

Journal of biomed research Pub Date : 2022-12-30 DOI: 10.46439/biomedres.3.021

引用次数: 0

Exploration of treatments for subarachnoid hemorrhage 蛛网膜下腔出血的治疗探讨

Journal of biomed research Pub Date : 2022-12-26 DOI: 10.46439/biomedres.3.026

M. R. Hosseini Siyanaki, B. Lucke-Wold, Majid Khan

引用次数: 1

Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare 皮肤病学数据集中种族代表性不足导致机器学习模型有偏见和不公平的医疗保健

Journal of biomed research Pub Date : 2022-12-26 DOI: 10.46439/biomedres.3.025

Giona Kleinberg, Michael J. Diaz, S. Batchu, B. Lucke-Wold

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引用次数: 4

Exploration of treatments for subarachnoid hemorrhage. 探索蛛网膜下腔出血的治疗方法。

Journal of biomed research Pub Date : 2022-01-01

Mohammad Reza Hosseini Siyanaki, Brandon Lucke-Wold, Majid Khan

引用次数: 0

The relationship between poor oral health and poor general health in Indigenous and non-Indigenous peoples 土著和非土著人民口腔健康状况不佳与一般健康状况不佳之间的关系

Journal of biomed research Pub Date : 2022-01-01 DOI: 10.46439/biomedres.2.013

引用次数: 0

Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare. 皮肤病数据集中的种族代表性不足会导致机器学习模型的偏差和医疗保健的不公平。

Journal of biomed research Pub Date : 2022-01-01

Giona Kleinberg, Michael J Diaz, Sai Batchu, Brandon Lucke-Wold

{"title":"Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare.","authors":"Giona Kleinberg, Michael J Diaz, Sai Batchu, Brandon Lucke-Wold","doi":"","DOIUrl":"","url":null,"abstract":"Objective: Clinical applications of machine learning are promising as a tool to improve patient outcomes through assisting diagnoses, treatment, and analyzing risk factors for screening. Possible clinical applications are especially prominent in dermatology as many diseases and conditions present visually. This allows a machine learning model to analyze and diagnose conditions using patient images and data from electronic health records (EHRs) after training on clinical datasets but could also introduce bias. Despite promising applications, artificial intelligence has the capacity to exacerbate existing demographic disparities in healthcare if models are trained on biased datasets.Methods: Through systematic literature review of available literature, we highlight the extent of bias present in clinical datasets as well as the implications it could have on healthcare if not addressed.Results: We find the implications are worsened in dermatological models. Despite the severity and complexity of melanoma and other dermatological diseases as well as differing disease presentations based on skin-color, many imaging datasets underrepresent certain demographic groups causing machine learning models to train on images of primarily fair-skinned individuals leaving minorities behind.Conclusion: In order to address this disparity, research first needs to be done investigating the extent of the bias present and the implications it may have on equitable healthcare.","PeriodicalId":73621,"journal":{"name":"Journal of biomed research","volume":"3 1","pages":"42-47"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10513290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adjusting the carbohydrates consumption and improving specific-soccer skills 调整碳水化合物的消耗，提高具体的足球技巧

Journal of biomed research Pub Date : 2021-12-31 DOI: 10.46439/biomedres.2.010

引用次数: 0

Attaining highest honors: A study proposal for the medical student’s honors bar expectancy and values changes within medical education 获得最高荣誉:医学教育中医学生荣誉标准期望和价值观变化的研究建议

Journal of biomed research Pub Date : 2021-12-31 DOI: 10.46439/biomedres.2.008

Thomas Varkey

引用次数: 0