Publications by authors named "Joseph E Alderman"
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups.
View Article and Find Full Text PDFArticle Synopsis
- During the COVID-19 pandemic, AI models were developed to help with health-care resource issues, but previous studies showed that the datasets used often have limitations leading to biased outcomes.
- A systematic review analyzed 192 healthcare datasets from MEDLINE and Google Dataset Search, focusing on metadata completeness, accessibility, and ethical considerations.
- Results indicated significant shortfalls, including that only 48% showed the country of origin, 43% reported age, and under 25% included demographic factors like sex or race, emphasizing the need for improved data quality and transparency to avoid bias in future AI health applications.
Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset curation, unequal opportunity to participate in research and inequalities of access.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to use clustering methods on transthoracic echocardiography (TTE) and hemodynamic parameters to identify subtypes of circulatory failure in patients with acute respiratory distress syndrome (ARDS) and to see how these relate to mortality compared to traditional definitions of right ventricular dysfunction (RVD).
- Conducted at a university hospital ICU in Birmingham, UK, the retrospective study analyzed TTE data from 801 ICU patients diagnosed with ARDS over five years, revealing four distinct cardiovascular subphenotypes with varying 90-day mortality rates.
- The findings suggest that these subphenotypes provide a better understanding of the underlying mechanisms of circulatory failure in ARDS and indicate that class 3 (dilated RV with impaired syst
Objectives: To assess whether right ventricular dilation or systolic impairment is associated with mortality and/or disease severity in invasively ventilated patients with coronavirus disease 2019 acute respiratory distress syndrome.
Design: Retrospective cohort study.
Setting: Single-center U.
Thoracic injury is common on the battlefield and in terrorist attacks, occurring in 10% to 70% of patients depending on the type of weapons used. Typical injuries seen include bullet, blast, and fragment injuries to the thorax, which are often associated with injuries to other parts of the body. Initial treatment prehospital and in the ED is carried out according to the principles of Tactical Combat Casualty Care or other standard trauma management systems.
View Article and Find Full Text PDF