Precision Medicine

Academic experts in disaster response have developed an AI-based simulation model that accurately predicts ebbs and flows in traffic at drive-through vaccination stations.

Researchers have demonstrated two deep learning tools aimed at uncovering the psychology of aging.

Only 19 of 159 radiation oncology professionals working across Canada, or 12%, feel they’re well-versed in AI. However, more than 90% are open to learning its ways.

Various scenarios within medical diagnostics are among the AI use cases that an official European watchdog has flagged as a potential source of hazards to fundamental human rights.

North of the border, two grants of $200,000 are on offer for researchers innovating transformative ways to apply AI in healthcare—and they’re only one part of an ambitious academic endeavor to expand medical AI.

Only two of 156 scientific papers on AI published over the past 12 years used emotion as input data, according to a new literature review. And the reviewers focused on a specialty ripe for augmentation by artificial emotional intelligence: pregnancy health.

Psychological researchers have used AI to not only test a hypothesis on COVID-related behaviors but also to help come up with the hypothesis in the first place.

The COVID-19 pandemic is a bad dream in the truest sense of the word—and AI helps to prove it, a team of researchers assert in a study published online Oct. 1 in Frontiers in Psychology.

Saykara, a Seattle-based healthcare technology company, has launched a new AI-powered solution for documenting physician-patient conversations.

Researchers have developed two AI-powered tools for automatically extracting key information from free-text pathology reports. The team shared its findings in the Journal of the American Medical Informatics Association.

AI models can predict when patients may be at an increased risk of in-hospital mortality, according to new research published in JAMA Network Open. If implemented, such models could be used to help healthcare providers improve decision-making and deliver better patient care.

Radiology researchers are turning to deep learning (DL) technology to make NLP even more effective—and it’s a growing trend that shows no signs of slowing down.  

Around the web

Emergency medicine doctors were hit particularly hard, with 60% citing burnout compared to just 43% in last year's survey results from Medscape.

Higher elasticity ratios discovered using SWE were an independent predictor of insufficient rotator cuff repairs, according to a new study published in the American Journal of Roentgenology.

The initiative led to a 30% increase in the number of patients who required fewer visits before receiving a diagnosis, University of Michigan Health System researchers reported.

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