AIMC Topic: United States

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Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

The journal of trauma and acute care surgery
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have recently shown the ability to predict admission volume, acuity, and operative needs at a single trauma center with very high reliability. This model has ...

Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

Journal of orthopaedic trauma
OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have been implemented with demonstrated success in elective lower extremity joint arthroplasty. Yet, hip fracture outcomes are dependent on patient-level ...

Current Trends in Robotics in Nursing Patents-A Glimpse Into Emerging Innovations.

Computers, informatics, nursing : CIN
The purpose of this study was to describe the current evidence found through a patent search about robotics used to assist nurses in providing care. The authors used a modified seven-step strategy of searching patents according to the US Patent and T...

Measuring Exposure to Incarceration Using the Electronic Health Record.

Medical care
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.

Is Watson for Oncology Unreasonably Dangerous?: Making A Case for How to Prove Products Liability Based on a Flawed Artificial Intelligence Design.

American journal of law & medicine
Artificial intelligence (AI) machines hold the world's curiosity captive. Futuristic television shows like West World are set in desert lands against pink sunsets where sleek, autonomous AI fulfill every human need, desire, and kink. But I, Robot, a ...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Journal of the American College of Radiology : JACR
Commercially available artificial intelligence (AI) algorithms outside of health care have been shown to be susceptible to ethnic, gender, and social bias, which has important implications in the development of AI algorithms in health care and the ra...