Conferences

RSNA 2021 planner: AI educational sessions

Radiology being the medical specialty furthest along with AI, the technology will take the spotlight at sessions, in exhibits and on a pavilion reserved for healthcare AI vendors.

RSNA 2018: Challenges and benefits of using AI in radiologists' workflows

One size does not fit all when it comes to adopting AI into radiologists' workflows. That’s the message Penn Medicine physician William W. Boonn, MD, encouraged radiologists, developers and vendors to remember while speaking during the annual RSNA meeting in Chicago.

RSNA 2018: Researchers use AI to predict cancer survival, treatment response

After using deep learning on patient scans to track cancer evolution, one research team is hopeful the “promising results” can help improve treatment response and survival predictions for cancer patients.

Philadelphia physician earns RSNA Margulis Award for AI research

A physician whose research produced promising results for using AI to improve the detection of tuberculosis (TB) was awarded the Alexander R. Margulis Award for Scientific Excellence during the annual RSNA conference in Chicago.

1 CISO's 5 pillars of an effective cybersecurity program

In a March 8 session at HIMSS 2018 in Las Vegas, Kevin Charest, chief information security officer of the Health Care Service Corporation (HCSC), outlined the five pillars of its cybersecurity program.

HIMSS18: 5 best practices of virtual care

In a March 6 presentation at HIMSS18 in Las Vegas, Blake McKinney, CMO and co-founder of the virtual health platform CirrusMD, presented key learnings from how health systems and payers are meeting the needs of consumers though virtual care.

HIMSS18: Machine learning system mines data to reduce costs, minimize waste

Orion Health has announced its machine learning system, Amadeus Intelligence, could improve patient care while reducing operating costs by minimizing waste.

Smartphone addiction creates chemical imbalance in brain

As younger patients grow up using smartphones and the internet, some may become addicted to the technology and develop imbalances in brain chemistry, according to a study presented at the annual meeting of the Radiological Society of North America (RSNA) in Chicago.

Change the incentives, says MIT Media Lab's Joichi Ito

BOSTON—Predicting the future is becoming more and more futile, said Joichi Ito, director of the MIT Media Lab, speaking at the Connected Health Symposium, held by Partners HealthCare.

Endless possibilities for the digital infrastructure's data dividend

BOSTON—“Inevitably, we complain about all the things that haven’t gone as well as we’d like but the real opportunity is the optimism of what we’ve been able to do,” said Jonathan Perlin, MD, PhD, MSHA, CMO and president of clinical services for HCA Healthcare, speaking at the AMIA’s iHealth 2015 Conference on the data dividend. 

Use technology to prepare for healthcare's coming shift to value

BOSTON—The new vernacular is healthcare can be challenging even though it’s really just a case of “providers using technology to take care of patients,” said Alan Roga, MD, founder and CEO of StatDoctors, speaking at mHealth + Telehealth World 2015.

Conference shows progress of telehealth

BOSTON—A conference that covers the ROI of telehealth and mobile health means “it’s no longer whether these things are going to happen. We’re at a stage where we can evaluate these things,” said Jennifer Kent, director of research quality for Parks Associates, speaking at mHealth + Telehealth World 2015.

Around the web

Radiology Business

Why RadNet is betting heavily on AI to reshape radiology workflows

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.

Health Exec

Special note from the editor

We’re moving, but we’re not going far.

Health Exec

Healthcare AI today: AI succeeds Hippocrates, Amazon looms large, 2026 predictions begin

The largest healthcare system in the Middle East is partnering with Nvidia to decode the human genome. If successful, the AI-heavy project will translate almost the entire language of heredity into actionable information.