Prosthetic access in Africa is still out of reach for most people who need it. The World Health Organization (WHO) says only 1 in 10 people in need has access to assistive products, including prostheses and orthoses. High cost, few trained staff, and weak financing are the main reasons.
Artificial intelligence (AI) is now offered as a fix. ProsFit, a company that began in Europe, shows how far that claim can go. Its story also shows where it stops.
Why Prosthetic Access in Africa Needs New Ideas
The gap is wide. The United Nations Development Programme (UNDP) notes that about 30 million people need prostheses and orthotics, yet fewer than 20 percent can get them. It adds that more than 75 percent of developing countries have no training programme for these skills.
Traditional socket making is slow. A prosthetist takes a cast, builds a mould, and shapes the socket by hand. The socket is the part that meets the residual limb, so a poor fit causes pain and sores. Many users stop wearing the device.
Digital tools aim to change this. Scanners, design software, and 3D printers can cut the steps. UNDP Rwanda launched 3D computer-aided prosthetics and orthotics in 2022 for this reason. The earlier process there relied on manual work across seven stages.
Where AI Fits in ProsFit’s Model
ProsFit is not an “AI printer” company. It sells a digital service. A clinician scans the limb. The cloud platform PandoFit helps design the socket. A manufacturing partner then makes it. The HP case study explains that the Optimal socket uses HP Multi Jet Fusion printing. The machine prints the socket. AI does not.
ProsFit says its software uses machine-learning methods to automate design tasks when enough scan and patient data exist. That claim comes from the company, so readers should treat it with care.
Design support that saves clinic time
Machine learning can take over repeat design work. That may cut variation between sockets and free staff time. It cannot replace a prosthetist’s hands-on assessment or judgement.
The time savings look real. HP reports that digital design cut socket delivery from weeks to days, with fitting in two visits. The same case study says ProsFit once found that two in every ten printed sockets failed quality checks on its earlier printing method. That is why it moved to a new process.
Follow-up that supports prosthetic access in Africa
ProsFit reports work on video capture, pose estimation, and gait analysis. These tools could track mobility and flag fall risk from home. For users who live far from a clinic, fewer trips would matter a lot.
The company also uses finite element analysis and robotic gait simulation to test socket forces. These are engineering methods, not AI. They help design but do not replace trials with real users.
How the Business Model Could Widen Prosthetic Access in Africa
The business idea matters more than the AI. Industry reports describe ProsFit as selling monthly software subscriptions to clinics and delivering finished 3D-made devices. Clinics do not need to buy an industrial printer.
ProsFit also offers PandoPoint, a low-cost franchise model for small care units. PandoScale aims to build local skills. You can read more on the ProsFit website.
This design could help in three ways. Clinics carry less equipment cost. Scarce specialists can serve more people through scans and remote design. And local clinicians can handle fitting while a hub handles production. These factors, combined, may help boost prosthetic access in Africa
ProsFit says that since 2016, 30 customers in 15 countries have fitted more than 750 sockets through PandoFit. The company reported that figure itself. No outside audit confirms it. It also says little about how many poor or rural African users have gained a working device.
What the Togo and Madagascar Pilot Revealed
The best African evidence comes from a 2016 pilot by Humanity & Inclusion (HI). It tested digital design and 3D-printed below-knee sockets in Togo, Madagascar and Syria. The pilot is described in HI’s report on 3D printing for transtibial prostheses.
The early results were good. Tests showed printed sockets matched conventional ones for strength. All five people in a comfort comparison preferred the printed socket. The clinical part involved 17 people across three countries. The AT2030 review by Oldfrey and colleagues reported that digital production cut active work time for prosthetists.
HI’s rehabilitation director, Isabelle Urseau, took a careful view. She said 3D printing could be “a great option in certain circumstances” but would not be the only route.
HI kept going. By 2019 it was testing 3D production in Ugandan refugee camps under the AT2030 programme. Today it combines scanning, telerehabilitation and remote printing across several African countries.
The Costly Gaps Holding Back Prosthetic Access in Africa
The pilot also exposed a hard fact. The printed devices cost far more than locally made ones in Togo and Madagascar. Printing and shipping drove most of the gap. The AT2030 authors called cost a major barrier in low-resource settings.
The same review notes that most digital socket work sits in high-income countries. Yet most people with limb loss live in low and middle-income countries. That mismatch is the core problem.
AI can trim design time and labour. It cannot fix import duties, freight, weak supply chains or thin budgets. It cannot repair a socket in a village with no power or internet. Sample sizes were also small and follow-up was short. We still lack proof on durability, long-term outcomes and cost to the user.
The WHO standards, built with the International Society for Prosthetics and Orthotics (ISPO) and USAID, make the wider point. Access depends on a full system. That system needs people, policy, products, provision and a people-centred approach. A clever tool alone does not deliver it.
What Comes Next for Prosthetic Access in Africa
ProsFit’s value may be indirect. AI helps make a custom product more repeatable and easier to deliver at a distance. That could reach more users if prices fit local budgets and boost prosthetic access in Africa.
Several things must come first. Prices must match local buying power and donor funding. Production should move closer to users to cut shipping costs. Local prosthetists need training, with users involved in choices. Repairs and follow-up must be reliable. Health and disability data also need strong protection.
Policy will shape the outcome. The recent UN resolution on assistive technology puts pressure on governments to fund and plan for these services. Readers can also explore related innovations in the AT Innovation Wiki database and learn why the platform exists in our founding story.
The fair conclusion is simple. ProsFit shows how AI and digital production could widen prosthetic access in Africa. It does not show that this has happened yet. The evidence is encouraging but early. Costs, local capacity, and long-term proof will decide whether the promise becomes real.
