Day by day, artificial intelligence (AI) is becoming an integral part of modern medicine. Algorithms and artificial intelligence are increasingly a key support for medical services. They also play an important role in improving and innovating clinical research.
Currently, the main uses of AI are to complement and reinforce the decisions taken in the clinical setting, both in the general health of the patient and in other related areas such as mental health. In short, artificial intelligence facilitates a more efficient and effective access to the most relevant information for the patient, as well as to pre-process it.
In medical image analysis, AI tools are used to analyse CT scans, X-rays, MRIs and other images for lesions or other findings that a radiologist might miss. To exemplify this case, AI powered by artificial neural networks can be as effective as human radiologists in detecting signs of breast cancer and other conditions, according to recent research.
Researching and developing proprietary algorithms and AI
At Intelligent Data we are working on the research and development of our own artificial intelligence algorithms and applications related to improving people's health. In our research we seek to evaluate whether a combination of biological data, based on the portable, continuous and non-invasive recording of vital signs, allows us to obtain a prediction of the need for hospitalisation in complex chronic patients.
For the development of this research and the collection of reliable data, we are using the following components in the process:
- Wearable devices: with Bluetooth connectivity for data collection. These devices incorporate sensors capable of obtaining vital signs in a non-invasive manner.
- Wireless devices: Used at a later stage of the study. These will be devices placed in the main rooms of the patient's home, capable of recording heart rate and respiratory rate, among other data.
- Communications and telemedicine HUB: This device allows the data collected by the bluetooth device to be communicated to the next step in the processing system. In the first instance, it will be a smartphone and, subsequently, it will be adapted devices.
- Data lake & App: System for storage, processing and visualisation of results. Supported by a system for integrating clinical data to be fed anonymously by medical staff.
Together, these tools will also allow us to move beyond the development of applications and algorithms:
- We will be able to analyse the exact prediction period of the events.
- To deepen the differences between the predictive capacity of biological and clinical parameters.
- Analyse specific associations between parameters and pathologies.
In the coming days, we will be sharing further details and developments on our research related to the field of artificial intelligence (AI) and algorithms.