Your Phone Could Save Your Life: The Quiet Revolution in Mobile Health Diagnostics.

Published: 2024  |  Perspective updated: 2025

One of the things I have come to love about the menstrual health space is that it has drawn me into the broader world of health tech — and health tech, right now, is doing some genuinely extraordinary things.

I want to celebrate one of them, because it is easy to spend all your time in this space writing about what is not working, what needs to change, what the system is failing to do. All of that is true and important. But so is the innovation happening at pace, often in places and by people who are not getting nearly enough attention.

Zuri Health, a Kenyan company, is using AI to identify potential health issues through vital signs screening — through your phone camera. The technology detects physiological signals that can indicate a range of conditions, and is designed to support conversations with medical professionals rather than replace them. The model is simple and radical at the same time: quality, affordable, on-demand healthcare available on a mobile device, wherever you are. Including access to specialists — gynaecologists among them — for people who might otherwise have no path to that kind of care.

The technology behind it

Using smartphone cameras to monitor vital signs is no longer experimental. Smartphones equipped with advanced sensors and AI algorithms are now capable of monitoring heart rate, blood oxygen, respiratory rate, and other key indicators using photoplethysmography — essentially detecting tiny changes in skin colour caused by blood flow, captured through the camera lens. The technique was first validated in clinical research settings and is now making its way into consumer and healthcare applications.

Research published in peer-reviewed journals has confirmed that smartphone camera sensors can accurately estimate heart rate and blood pressure — metrics that are important for monitoring hypertension, heart disease, and a range of other conditions. The next frontier is extending this from individual vital signs to broader disease screening — which is exactly what companies like Zuri Health are working toward.

The global market for AI-powered smartphone health diagnostics is projected to grow at a compound annual growth rate of 28 to 34% between 2025 and 2030. That is not marginal growth. It reflects a genuine shift in what is technically possible and what people are willing to use.

Why this matters for access — not just convenience

In high-income countries, mobile health diagnostics are often framed as a convenience play — saving a trip to the GP, monitoring a known condition from home. That is genuinely useful. But the more transformative application is in contexts where the alternative is not a slightly inconvenient appointment. It is no appointment at all.

Research into smartphone-based community health screening has consistently found that the populations who most need accessible diagnostics are often those least served by conventional healthcare infrastructure. Building screening tools on a device that billions of people already own is one of the few ways to genuinely reach those populations at scale.

For women specifically — and for menstrual health specifically — the access gap is acute. Conditions like endometriosis, PCOS, and fibroids are chronically underdiagnosed, in part because the diagnostic pathway is long, expensive, and often requires repeated engagement with healthcare systems that many women, globally, cannot easily access. Tools that can flag patterns, prompt earlier investigation, and connect women with specialists — all through a device in their pocket — have the potential to change that.

The design question

None of this is automatic. Research has also noted that many mHealth innovations have not achieved their anticipated impact despite significant investment, largely due to low levels of adoption and poor understanding of end-user needs. Technology that works in a lab or a clinical trial does not always translate into something people will actually use — particularly in communities where trust in digital health tools may be limited, or where literacy, language, or connectivity present barriers.

This is the design challenge that matters as much as the engineering one. Zuri Health's focus on on-demand, affordable care — rather than simply on diagnostic accuracy — reflects an understanding that the product is not the algorithm. It is the experience of a woman in Nairobi being able to speak to a gynaecologist she could not otherwise access. That is the outcome worth designing toward.

I find myself genuinely hopeful about what is happening in this space. The technology is real, the need is real, and increasingly the builders are people who understand both.