While AI-powered solutions have the potential to revolutionize the diagnosis and treatment of mental illness, providers need to understand the technology better so that the promise can be harnessed without unintended consequences.

Among other things, analysis suggested that the algorithm may be effective at detecting heart weakness in all patients, regardless of race and gender.

Spending in the U.S. on behavioral health treatment and services reached $225 billion in 2019, a 52% increase since 2009. 

The WHO projects that by 2050, nearly 2.5 billion people will experience some degree of hearing loss, with 700 million requiring rehabilitation.

With the rise of AI, researchers noted, a new class of genome interpretation methods are being developed with the promise of removing the interpretation bottleneck for rare genetic disease diagnosis.

While children infected with COVID-19 have tended to have milder symptoms, researchers note some have developed severe complications such as respiratory failure or heart inflammation.

AI can facilitate faster diagnoses, predict the likelihood of a particular patient outcome and help conduct research on new treatments, says one stakeholder, but the risks, including hidden biases, are real.

New algorithm that uses “evolutionary principles” to identify genes enabling plants to grow more with less fertilizer also has myriad medical applications.

Among other outcomes, the new algorithm predicted which patients had better responses to specific therapies and had better overall survival rates.