I’ve kept a close eye on the research, and a few centers have started pilot programs using AI‑driven EEG monitoring in epilepsy units. In those studies the algorithms flag subtle changes in wave patterns seconds before a clinical seizure starts, allowing staff to intervene early—sometimes with a quick dose of medication or a calm, quiet environment. The technology isn’t standard everywhere yet, but it’s moving fast, and I think it’ll become a routine part of monitoring in most tertiary epilepsy centers within the next few years. If you’re interested, I can share some of the papers I’ve read or even set up a trial at our hospital.

That’s a great plan. I’ll pull the recent peer‑reviewed papers and the datasets they used, and send them over by end of day. Once you’ve had a look, let’s schedule a quick meeting to go over your model’s performance metrics and outline the pilot protocol. Looking forward to seeing how our thresholds hold up in a real‑world setting.

Sounds good, I’ll review the datasets and papers tonight. Expect a concise report on performance metrics and a draft pilot protocol for tomorrow. Looking forward to the meeting.

Sounds good—if you run into any hiccups with the datasets or need a quick clarification on any of the algorithms, just give me a shout. I’ll review your draft and we can fine‑tune the protocol before tomorrow’s meeting. Good luck tonight!