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Related Concept Videos

Impact01:30

Impact

Impact occurs when two bodies collide, leading to the application of impulsive forces between them. Analyzing impact mechanics involves considering two colliding particles moving along a line known as the line of impact, which passes through their centers and is perpendicular to the contact plane.
When particles with different initial velocities collide, they induce deformation by applying equal and opposite impulses. At the point of maximum deformation, the particles move together with...
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
The...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Types of Impact01:30

Types of Impact

Impacts can be classified in various forms, primarily under two subgroups: central impact and oblique impact. A central impact occurs when two objects collide head-on, possessing opposite velocities aligned along the line of impact. Conversely, an oblique impact occurs when two objects collide at an angle, resulting in a modification of both direction and velocity.
The coefficient of restitution is a metric for understanding the dynamics of impacts. It quantifies the ratio of relative velocity...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

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Related Experiment Videos

Missing infrastructure for real-world predictive AI impact.

Benjamin I Perry1,2, Ben Hammond3, Dominic Oliver4

  • 1Institute for Mental Health, University of Birmingham, Birmingham, UK b.i.perry@bham.ac.uk.

BMJ Health & Care Informatics
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

Predictive artificial intelligence (AI) tools can improve chronic disease management but face organizational barriers to clinical implementation. Addressing institutional ownership and stewardship is key to translating AI innovations into routine healthcare.

Keywords:
Artificial intelligenceClinical GovernanceData ScienceImplementation Science

Related Experiment Videos

Area of Science:

  • Health systems research
  • Medical informatics
  • Artificial intelligence in healthcare

Background:

  • Chronic diseases represent a growing burden on healthcare systems globally.
  • Predictive artificial intelligence (AI) offers potential for earlier detection and targeted interventions.
  • Despite research, few AI tools are integrated into routine clinical practice.

Purpose of the Study:

  • To identify the primary barriers hindering the translation of predictive AI tools into routine healthcare.
  • To propose actionable recommendations for overcoming these translational challenges.

Main Methods:

  • The study presents an argument based on the analysis of translational barriers in predictive AI implementation.
  • It synthesizes current challenges in the adoption of AI in healthcare settings.
  • Recommendations are developed based on identified organizational hurdles.

Main Results:

  • The primary barrier to predictive AI tool translation is organizational, not methodological.
  • Lack of defined institutional ownership and long-term stewardship impedes progress.
  • Navigating regulatory certification and governance structures presents significant challenges.

Conclusions:

  • Organizational factors, including ownership and stewardship, are critical for successful AI tool implementation.
  • Addressing these structural issues is essential for moving predictive AI from research to practice.
  • Recommendations focus on establishing clear accountability and support structures for AI in healthcare.