AI Medical Compendium Topic:
United States

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Trends in robotic surgery utilization across tertiary children's hospitals in the United States.

Surgical endoscopy
BACKGROUND: A growing number of tertiary children's hospitals are utilizing robotic surgical technology. We sought to characterize national trends in pediatric surgical robotic case utilization and related drivers.

Conversion rate of laparoscopic or robotic to open sacrocolpopexy: are there associated factors and complications?

International urogynecology journal
OBJECTIVES: To evaluate the conversion rate of laparoscopic or robotic to open sacrocolpopexy and to identify associated factors in a large population-based database.

A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

The Journal of surgical research
BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. F...

Comparison of Machine Learning Models for the Androgen Receptor.

Environmental science & technology
The androgen receptor (AR) is a target of interest for endocrine disruption research, as altered signaling can affect normal reproductive and neurological development for generations. In an effort to prioritize compounds with alternative methodologie...

Residents' Views on the Impact of Robotic Surgery on General Surgery Education.

Journal of surgical education
OBJECTIVE: The use of the da Vinci Robot has been fast growing in general surgery in the United States over the past decade. While the financial cost of robot-assisted procedures has been studied, there has been limited research on the educational co...

Industry ties and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices: a cross sectional study.

BMJ open
OBJECTIVES: To determine the extent and disclosure of financial ties to industry and use of scientific evidence in comments on a US Food and Drug Administration (FDA) regulatory framework for modifications to artificial intelligence/machine learning ...

Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.

Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning.

International journal of environmental research and public health
The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure ...

Prediction and analysis of Corona Virus Disease 2019.

PloS one
The outbreak of Corona Virus Disease 2019 (COVID-19) in Wuhan has significantly impacted the economy and society globally. Countries are in a strict state of prevention and control of this pandemic. In this study, the development trend analysis of th...