A team of experts from the University of Dundee’s School of Medicine has identified alternative medication for many patients currently on less effective or outdated treatment plans working with Red Star AI.
As reported by Medical Xpress, the team used machine learning to analyze heart failure patients’ records in a pilot project to determine whether or not contemporary medications and knowledge could significantly improve their welfare.
According to the team, AI could help create personalized treatment plans for every patient, ensuring they receive individualized treatment plans optimized to improve their well-being and quality of life.
With up to a million UK residents living with heart failure of varying degrees, which results in deteriorating quality of life, and increasing chances of being admitted to hospital with symptoms of heart failure, including fluid build-up or breathlessness, this technology could be a game-changer.
Leveraging The Power of AI and ML to Improve Healthcare
Using AI and machine learning (ML) to determine the effectiveness of various treatment plans can help select effective personalized plans to improve the quality of life.
According to the project’s team leader, Dr. Ify Mordi, Senior Lecturer at the University, artificial intelligence (AI) in healthcare is gaining traction, adding that this project was a demonstration of how modern technologies, ML, and AI can be harnessed to transform patient care.
By identifying alternative medication plans for heart failure patients at their early stages, clinicians can offer appropriate medical intervention before the patient’s condition deteriorates.
The research team used Red Star AI to create a software application capable of scanning echo reports, which are basically ultrasound scans of the heart and other relevant medical reports to determine the best treatment for each patient.
Additionally, the team developed medication plans tailored to improve each patient’s quality of life and stress markers.
While healthcare professionals would always require more time to comb through huge amounts of data and health records to help personalize treatment plans, AI can get it done quickly. The pilot project conducted by the Dundee team showed that the AI software was able to scan through the records quickly and accurately.
The study findings were presented at the European Society of Cardiology Conference in London.
