Evaluation of the impact of artificial intelligence-assisted image interpretation on the diagnostic performance of clinicians in identifying pneumothoraces on plain chest X-ray: a multi-case multi-reader study.

Background: Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of clinical innovation. Most research to date has focused on the performance of AI-assisted algorithms in comparison with that of radiologists rather than evaluating the algorithms' impact on the clinicians who often undertake initial image interpretation in routine clinical practice. This study assessed the impact of AI-assisted image interpretation on the diagnostic performance of frontline acute care clinicians for the detection of pneumothoraces (PTX).

Delivering the power of discovery in large pharmaceutical organizations.

Increasing the output from discovery is currently a major objective for the pharmaceutical industry aimed at reversing recent downward trends in productivity. Although significant attention has been focused on innovative assay and process technologies, these only address specific points in the discovery process. Little effort has been made to manage the multiple interconnected steps within discovery effectively.