An artificial intelligence tool that analyzes data from portable blood pressure cuffs and wrist-worn fitness trackers can identify patients at risk of a hypertensive crisis up to three days before it occurs, according to preliminary research presented at the Scientific Sessions 2026.
The research, which involved 4,190 adults with stage 2 high blood pressure in Pakistan, suggests that continuous monitoring of cardiovascular signals may allow healthcare providers to intervene before a medical emergency develops.
AI identifies patterns in sleep and waking blood pressure
During a 12-month study period from January 2025 to January 2026, participants used a portable cuff-based monitor to take repeated readings during daily activities and sleep, while also wearing a wrist device with light-based sensors to track heart rate and heart rate variability. The AI tool analyzed 47 different characteristics within this data to predict upcoming crises. Research shows that two specific patterns emerged as the strongest predictors of a hypertensive crisis.
- The odds of an impending hypertensive crisis were nearly five times higher for participants who did not experience a drop in blood pressure while sleeping.
- A rise in blood pressure after waking of more than 35 mm Hg compared to nighttime levels was associated with nearly four times the odds of a crisis.
The study found that 312 participants experienced a total of 418 hypertensive crises, representing approximately 7 percent of the group. The predictive accuracy of the alerts was notable: Medical Daily reports that among participants who received a positive alert, about 32 percent experienced a crisis, while 97.4 percent of those without an alert remained crisis-free.
Timely medication adjustments reduce emergency visits
When the AI system flagged a patient as high risk, the protocol prompted physicians to contact the patient, review symptoms, and adjust medication. This proactive approach showed significant clinical benefits. Inside Precision Medicine and UA.News both report that in the group where doctors adjusted medications within 24 hours of an alert, hypertensive crises were reduced by 61 percent and emergency department visits decreased by 45 percent.
The study subjects were adults aged 40 to 85, with an average age of 62.4 years. The demographic breakdown included 46 percent women and 54 percent men.
Other research in blood pressure monitoring
Other research teams are investigating various methods for tracking blood pressure through wearable technology. In a preprint study published via medRxiv, a team of researchers from Google and their colleagues found that an AI model could identify indicators of high blood pressure by utilizing signals from consumer smartwatches. This study involved 196 diverse participants who were free from known cardiovascular disease and were not using antihypertensive medication. Over seven days of real-world monitoring, the AI-PPG-ACC-HTN model detected hypertension with a sensitivity of 65.8% (95% CI, 54.0%-76.3%), a specificity of 90.0% (95% CI, 83.2%-94.7%), and a positive predictive value (PPV) of 80.6% (95% CI, 68.6%-89.6%). In comparison, initial office blood pressure screening achieved a sensitivity of 55.3% (95% CI, 43.4%-66.7%), a specificity of 90.0% (95% CI, 83.2%-94.7%), and a PPV of 77.8% (95% CI, 64.4%-88.0%). This research was a collaborative effort involving Google Research, Beth Israel Deaconess Medical Center, and Harvard Medical School.
The consumer wearable market also features devices designed for blood pressure fluctuations. Other specialized hardware includes the Huawei Watch D3, which utilizes a micropump system to inflate a cuff to measure blood pressure, and has a miniature oscillometric cuff packed into an 11.3mm smartwatch whose strap physically inflates around your wrist.
Digital health technologies complement clinical decision-making for hypertension
Studies like this highlight the growing potential for digital health technologies to complement, not replace, clinical decision-making when caring for people with hypertension,
Dr. Maria Delgado-Lelievre
According to current guidance from the American Heart Association, readings exceeding 180/120 are classified as severe hypertension if there are no signs of organ damage, whereas readings of that level accompanied by symptoms of organ damage are categorized as a hypertensive emergency. A hypertensive emergency may involve symptoms such as shortness of breath, chest pain, back pain, numbness, weakness, vision changes, or difficulty speaking, in which cases calling 911 is advised.
Patients seeking information regarding their blood pressure should consult with a qualified healthcare professional for diagnosis and management.