We asked patients and doctors and this is what they said
Patients surveyed about Algocyte found that getting a regular appointment for a blood test was too long (at least a week on average)
which together with the time they had to wait for their blood test results amounted to up to two more weeks in total.
A majority of patients say yes to finger-pricking over the alternatives
Patients find the main features of Algocyte useful.
The number of tests and hours that doctors and nurses request and spend on blood testing is significant
Enabled by the responsible AI-powered capabilities of Algocyte, doctors found that they could save appointments and spend several hours a week on other activities, including providing more time and greater quality of care to patients.
There was a clear consensus on time-saving and usefulness of results and analytics in a remote app and solution for rapid remote blood testing.
* Data collected from a survey independently conducted and answered by 28 people including doctors (all levels), paramedics, nurses, and patients by the Medici Medical Centre clinic in Luton on June 11, 2020, a GP practice with over 15,000 patients.
OIA's CTO Dr. Jürgen Riedel and Senior AI Researcher Dr. Santiago Hernández-Orozco delivered an invited technical talk at the international conference AUTOMATA 2020, the 26th International Workshop on Cellular Automata and Discrete Complex Systems, one of the most reputable conferences in the field.
Jürgen and Santiago explained some of the most fundamental technical aspects behind OIA's A.I. and Machine Learning approaches to transforming medicine from simple statistical pattern-matching to causal diagnostics, and how OIA's methods and technology give it an edge when it comes to robustness (e.g. to perturbations and interventions), generalisation (over-fitting avoidance) and explainability, features of what we call a responsible A.I. approach to applications in healthcare.
According to a survey conducted by London venture capital firm MMC, 40% of European startups that are classified as A.I. companies don't actually use artificial intelligence in a way that is “material” to their businesses. Another percentage are startups or companies that adopt AI, but very few innovate in AI as much as in its domain of application, as OIA with its group of AI leaders and pioneers does.
Here are some of OIA's most recent papers published in some of the top journals in the fields of AI, automata and molecular biology research: