AI & Data Analytics

Andělín answers questions and provides general information related to post-stroke rehabilitation.

The solution flags cases of pulmonary embolism in chest CTs to prioritize patients at high risk.

CDs are costly — and they can affect treatment and patient satisfaction.

Google search histories could lead to early diagnosis and treatment of cancer.

The company is partnering with health plans, aiming to leverage the enterprise to bring its devices and personalized platform to more individuals.

As enterprise adoption of AI chatbots increases, health systems must ensure they are improving the patient experience.

Clinical stakeholders don’t talk to each other enough. By opening the lines of communication, healthcare can fight substance abuse.

Healthcare orgs that run afoul of HIPAA risk exposing patient data and big fines.

But a new study suggests the tool can help eliminate waste.

3 physicians discuss enterprise-level strategies to combat digital misinformation.

The World Health Organization has several recommendations for how countries can and should integrate digital tools into their health systems.

The machine learning model more accurately diagnosed children than parent-reported child symptoms.

The model placed 31% of patients with future breast cancer in the top risk decile, versus the 18% seen with traditional models.

Two health-tech leaders examine potentially groundbreaking human and computing efforts to stop diagnostic errors.

Janae Sharp and community data organizer Andrea Downing discuss the leak’s implications for healthcare and patients.

The browser could give insight to participants and researchers about the data that are being collected.

The data brief reveals how non-acute federal care hospitals are using their EHR data.

Physicians will be able to use an iPad to program and manage data from implanted cardiac devices.

Customized AI models trained on localized patient data can support health system growth.

Why Holon says the tech could mean big progress for interoperability.

3 cases that highlight how Python & machine learning could optimize medicine.

Why better patient-provider matching requires better provider data.

The agency has launched several initiatives that focus on amplifying the technology that empowers patients and improves outcomes.

The technology can do more than increase efficiencies in the hospital setting.

AI can save physicians time and aid them in being more efficient and better at their job.