AI & Data Analytics

The promise of 5G lies in its ability to connect patients, but negatives abound.

Clinical decision support tools can be lifesaving.

Health IT 2.0 will be successful if cloud-based computing is leveraged.

Shereese Maynard, M.S., MBA, discusses the influence of health tech in the 2010s and makes projections on what's to come.

Survey results offer insights into AI challenges and solutions.

Featuring Amy Abernethy, M.D., Ph.D., principal deputy commissioner and acting CIO of the FDA.

AI is here to stay.

The healthcare industry has seen a massive acceleration in the overall acceptance of cloud-based tech.

A real-time testing solution could lead to more precise treatment and better outcomes.

The product uses machine learning and could lead to more accurate and quicker patient diagnosis.

How health systems can act to leverage incumbent advantage to compete with new market entrants.

Using AI and EHR data, researchers developed a risk score that achieved an AUC of 0.88.

EchoGo Core could help improve patient care delivery.

Google has access to tens of millions more health records.

The model identified risk patterns in ECGs that human experts did not.

AI Medical Service’s tech helps physicians detect cancerous lesions.

Early signs that using AI helps tumor boards improve workflows and care decisions.

The challenge has already received a record-breaking number of submissions.

Arthur Harvey discusses health IT pain points and recruiting talent at BMC.

Google will use its platform and software to build a strong wearable.

This is just one of the many partnerships announced in October that aim to use tech to reduce administrative tasks.

The hope is that the tech leads to earlier diagnosis and treatment of the condition.

At HLTH2019, an expert at Fitbit discusses wearable devices.

The platform will alert clinicians about what is happening in a room at any time.

The machine-learning model and human experts achieved a 90% accuracy.