Interesting reads ... October 2022

This study offers an overview of how #AI can benefit future #Healthcare, in particular increasing the efficiency of clinicians, improving medical diagnosis and treatment, and optimising the allocation of human and technical resources.

The research follows the Topol Review recommendation to develop a healthcare workforce able and willing to use AI and #Robotics, and is part of Health Education England‘s Digital, AI & Robotics Technologies in Education programme.

The purpose of this paper was to study in depth the processes of forming business models for AI start-ups in the healthcare industry.

Queensland, a large state in Australia, undertook a capability assessment of public health services. The results reveal a variation in DHI scores reflecting the diverse stages of health care digitization across the state which is consistent with global trends.?

The authors summarise recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective AI systems and discuss the possible future direction of AI augmented healthcare systems.

The approaches the authors of this paper describe can guide reimbursement policy to prioritize value and disincentivize overuse. In combination with careful regulation, a reimbursement model that recognizes AI’s rapid scalability and automation will reward value rather than volume.

Secondary use of #HealthData can enable a wide range of benefits across the entire healthcare system. It can also help innovation by extending research data to assess whether new therapies would work for a broader population.

With increasing incidence rates of #Cancer , it is our obligation to capitalize on benefits offered by AI methods to accelerate discovery and translation of advances into clinical practice to serve patients and Healthcare providers.

Increasing data streams and advances in computational algorithms have positioned AI to improve clinical #Oncology via rigorously evaluated, narrow-task applications interacting at specific touchpoints along the cancer care path.

This paper discussed the prospects of the AI future from the perspective of implementation. By integrating implementation considerations from the modelling to the deployment stages of AI-driven Healthcare, the authors considered the challenges that lie ahead.