LONDON – The first systematic review and meta-analysis of the accuracy of artificial intelligence in health care has concluded AI may be as good as clinicians in interpreting medical images, but it is hard to be sure because of the poor quality of published studies. Researchers at Birmingham University, U.K. considered 31,887 journal papers appearing between January 2012 and June 2019, of which 20,530 were screened. They found most were methodologically flawed.

LONDON – The future role of artificial intelligence (AI) in health in the U.K. was cemented recently with the announcement of £250 million (US$301 million) in government funding to set up a dedicated AI laboratory that will work to systematically apply the technology and harness the benefits at a national level.

In retrospect, it seems inevitable that an algorithm would be appointed to a board of directors. Hong Kong-based Deep Knowledge Ventures named Vital (an acronym for Validating Investment Tool for Advancing Life Sciences) to its board five years ago and credits it with making better decisions than its fellow members, humans all.

PERTH, Australia – There is pervasive use of artificial intelligence and machine learning (AI/ML) across the health care industry in Australia, and excitement is building on the opportunities it offers to technologies and ultimately to patients, Ausbiotech CEO Lorraine Chiroiu told BioWorld.

Just as artificial intelligence (AI) becomes an ever-more common part of drug discovery, its potential role in clinical trials is slowly becoming more visible, too. Efforts to improve trial recruitment, efficiency and decision-making are underway at companies of all sizes as organizations look to better the oft-daunting odds of clinical success, industry executives told BioWorld.

By streamlining processes, cutting costs and improving data quality, artificial intelligence (AI) and machine learning can reduce clinical trial spend and speed time to market. The technology is showing up in a number of applications, from guiding recruitment to developing biomarkers to determine who will respond to certain treatments and driving cost efficiencies.

The U.S. Patent and Trademark Office (PTO) is seeking feedback on artificial intelligence (AI), posing questions on whether the regulations or even the statute will have to be amended to allow the agency to issue patents for items invented in part or in whole by AI.