Health and Wellness Informatics News
Machine learning allowed researchers at Helsinki to find latent characteristics in infants’ movement signals. These could not get identified through conventional heuristic planning.
It’s hard to imagine babies wearing smart clothing to track their every move. But a romper suit piloted in Helsinki, Copenhagen, and Pisa does exactly that. Moreover, it makes use of AI in healthcare to promote such facilities. The ‘motor assessment of infants jumpsuit’ (MAIJU) looks like typical baby clothing. But there is a crucial difference. It is full of sensors that assess child development.
Professor Sampsa Vanhatalo is the project lead at the University of Helsinki. He said that MAIJU offers a kind of quantitative assessment of an infant’s motor abilities. This is through the age between lying to fluent walking. But unfortunately, this quantitation is not yet possible anywhere, not even in hospitals.
Vanhatalo describes the path from wishful thinking about a solution as a windy road. But, he also added, “There is no lack of dreams or technology, but we are lacking relevant and sufficient clinical problem statements, ecologically and context-relevant datasets, reliable clinical phenotyping of the material, as well as suitable legislation for products that don’t follow the traditional forms.”
Vanhatalo finds it important that the medical community needs to recognize sensible targets for AI. He argued that it is more important to train clinical decision support systems (CDSS) than to train clinical decision systems. AI holds great potential to revolutionize care in oncology.
Professor Karol Sikora is the chief medical officer (CMO) at cancer care vanguard, Rutherford House. Sikora believes that machine learning can benefit physicians by assisting in complex treatment decisions.
Sikora added that Precision oncology demands the analysis of large volumes of data in an unprecedented way. And we hope AI in healthcare will also provide patient benefits long term. Rutherford Health’s network of oncology centers uses the latest innovations in cancer technology.
To fully un-tap the potential of AI in healthcare, there is a need to demystify the noise around it. This can also get done by healthcare organizations. Atif Chaughtai, senior director of global healthcare and life sciences business at software firm Red Hat believes this.