From reactive to proactive: impact of artificial intelligence on management and selection of livestock.

Anim Front

Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA.

Published: December 2024

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11700606PMC
http://dx.doi.org/10.1093/af/vfae029DOI Listing

Publication Analysis

Top Keywords

reactive proactive
4
proactive impact
4
impact artificial
4
artificial intelligence
4
intelligence management
4
management selection
4
selection livestock
4
reactive
1
impact
1
artificial
1

Similar Publications

Background: Among hospitalized children, episodes of aggressive patient behavior place healthcare staff at risk for serious injuries. By implementing a behavioral response team at a children's hospital, we aimed to reduce monthly employee injuries related to aggressive patient behavior from 3.4 to 2.

View Article and Find Full Text PDF

Introduction: Healthcare professionals are in an optimal position to deliver exercise information to pregnant women, yet previous research suggests this seldom happens. Midwives and nurse practitioners, who may have more time with pregnant women, are particularly well suited for this role.

Objectives: This qualitative study examined the exercise advice and counseling provided by midwives and nurse practitioners in Kentucky, focusing on the barriers they face.

View Article and Find Full Text PDF

Introduction: The well-being of healthcare workers (HCWs) is a critical concern. While healthcare leaders can play a crucial role in influencing employees' well-being, it remains unclear how leaders are leveraging this influence. This study aims to unravel the current perspectives and practices of healthcare leaders in supporting HCW well-being.

View Article and Find Full Text PDF

Effect of eHMI-equipped automated vehicles on pedestrian crossing behavior and safety: A focus on blind spot scenarios.

Accid Anal Prev

January 2025

Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China. Electronic address:

Blind spot collisions are a critical and often overlooked threat to pedestrian safety, frequently resulting in severe injuries. This study investigates the impact of automated vehicles equipped with external human-machine interfaces (eHMIs) on pedestrian crossing behavior and safety, focusing on scenarios where AVs create mutual blind spots between pedestrians and adjacent traffic. A virtual reality experiment with 51 participants simulated crossing situations in front of yielding trucks with obstructed pedestrian visibility, featuring three eHMIs: 'Walk,' 'Don't Walk,' and 'Caution! Blind Spots'.

View Article and Find Full Text PDF

Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by systemic inflammation. While RA primarily affects the joints, its systemic effects may lead to an increased cerebro- and cardiovascular risk. Atherosclerosis of the carotid arteries is a significant risk factor for cerebrovascular events and serves as a surrogate marker for cardiovascular risk.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!