Research

Deep learning is an important element of AI that’s helping advance diagnostics and treatment, but it also remains relatively uncharted territory.

Using big data and AI-driven prediction models can be clinically useful, but it’s also important to learn about that data and the processes involved in collecting it, according to work published in JAMA Psychiatry.

Multinational investment holding conglomerate Tencent is working with the Shanghai Cancer Center to establish an AI-based, big data laboratory to streamline the cancer treatment process, according to a report by Shine, a digital news organization under Shanghai Daily.

Dana Solutions, a California-based AI company, is partnering with the FDA’s Center for Drug Evaluation and Research to improve the drug development process by using AI, the company announced Feb. 25.

More than 300 companies, universities and organizations are investing more than $260 million to support 16 new centers for doctoral training in AI in the United Kingdom.

The Yale School of Public Health’s Department of Biostatistics has launched a new health informatics division and masters program aimed at using data from electronic health records (EHRs) to advance clinical and public health research.

Despite AI’s potential in healthcare, major ethical concerns—like consent, transparency and responsibility—still surround the technology and its use in medicine. To address those concerns, Georgia researchers are encouraging physicians and healthcare companies to provide detailed information on AI systems to mitigate concerns patients may have with the technology. 

The Vanderbilt University Medical Center (VUMC) is looking to transform electronic health records (EHRs) by leveraging voice and AI technology to allow EHRs to naturally interact with physicians to find relevant information and hopefully enhance patient care.  

IBM Watson Health is partnering with the Broad Institute of MIT and Harvard to use AI and genomics to help clinicians better predict the onset of serious cardiovascular diseases, the company announced Feb. 13.

Researchers at West Virginia University (WVU) were awarded a $1 million grant from the National Institute of Justice to develop novel AI techniques to combat the opioid epidemic and opioid trafficking. The funding will be provided over a three-year period.

The Vatican and Microsoft are offering a nearly $7,000 prize for an international competition that aims to promote ethics in AI, according to a report by the Associated Press.

An NHS hospital in Scotland was honored by Microsoft during the HIMSS conference for its effort with KenSci to leverage AI and machine learning to reduce emergency hospital admissions among the highest risk chronic obstructive pulmonary disease (COPD) patients.