Deans' stroke musings: AI helps cardiologists terminate AFib for good with ablation

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, May 7, 2025

AI helps cardiologists terminate AFib for good with ablation

So you can effectively discuss your Afib with your doctor.

AI helps cardiologists terminate AFib for good with ablation

Artificial intelligence (AI) can improve atrial fibrillation (AFib) outcomes by providing real-time feedback during cardiac ablation procedures, according to new data presented at Heart Rhythm 2025, the Heart Rhythm Society’s annual meeting in San Diego.

The study’s focus was the effectiveness of DeePRISM, an advanced AI algorithm that helps cardiologists and electrophysiologists perform cardiac ablation in a way that maximizes the odds of achieving AFib termination.

DeePRISM was trained using data from 110 patients who presented for ablation due to persistent AFib. When testing the AI model, researchers found that it helped clinicians achieve acute AFib termination in 40% of ablation patients. The group added that the AI was associated with improved two-year outcomes, including freedom from recurrent AFib in up to 70% of patients.

“With the introduction of the DeePRISM model, we are taking a significant step forward in the treatment of persistent atrial fibrillation,” Chih-Min Liu, MD, PhD, a researcher with Taipei Veterans General Hospital in Taiwan, said in a statement. “Our study shows that AI-driven, real-time analysis not only enhances the success of the procedure but also ensures patient safety, marking a promising advance in electrophysiology.”

Heart Rhythm 2025 continues a long tradition

Heart Rhythm 2025 is the 46th annual meeting of the Heart Rhythm Society, which has said it received more than 3,400 scientific abstracts ahead of the show. Nearly 10,000 attendees are expected, including cardiologists, electrophysiologists, researchers, device manufacturers and many others.

“With the significant increase in both data submissions and attendee registration, this year’s meeting will highlight scientific advancements, discoveries, and real-world insights that electrophysiologists can apply to their daily clinical practice,” HRS President Ken Ellenbogen, MD, director of clinical cardiac electrophysiology at VCU Health, said in a statement ahead of the conference.

The Heart Rhythm Society stayed busy leading up to the conference, publishing detailed recommendations on how to develop AFib Centers of Excellence and when to consider same-day discharge after cardiac ablation.