TL;DR:
- AI and wearables are revolutionising healthcare, improving patient care and diagnosis.
- Google’s Med-Gemini AI model achieves 91.1% accuracy in complex patient health data scans.
- Smart contact lenses and IoMT devices are set to transform diabetes management and remote patient monitoring.
The Dawn of AI in Healthcare
Artificial Intelligence (AI) is set to revolutionise healthcare, and it’s not a moment too soon. Ageing populations, underfunded hospitals, and overworked staff have led to a decline in medical care quality. However, AI is emerging as a powerful solution to these challenges.
According to Eric Topol, author of “Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again,” AI’s greatest opportunity lies in restoring trust and connection in healthcare.
Wearables: The Data Revolution
Wearable technology is driving a data explosion in healthcare. Tech giants like Apple and Google are developing AI-powered health coaches and mood trackers, providing personalised workout routines and health tips based on user data.
One standout example is Google’s Gemini model, which offers customised health programmes. The tech industry is also exploring the Internet of Medical Things (IoMT) devices, which use advanced AI for sophisticated remote and local monitoring to enhance patient care.
Predictive Analysis: A Game Changer
Predictive analysis, integrating cameras, sensors, and intelligent software, can detect early signs of potential health issues before they become life-threatening. For instance, a team at Swansea University has developed a system delivering test results for various health conditions in just two minutes using a fingertip sample.
AI and Diabetes Management
Researchers are making significant strides in using smart contact lenses to monitor blood glucose levels, revolutionising diabetes tracking and treatment. A recent study from Yonsei University in the Republic of Korea has shown promising results in animal and human trials.
The Value of Patient Data
At the heart of this revolution is data, specifically electronic health records. Last year, Palantir, a US spy tech company, won a controversial £411 million, five-year contract to handle the UK’s national health service patient records, highlighting the growing value of patient data in the AI age.
Med-Gemini: A Breakthrough in AI Diagnosis
Med-Gemini, a collaborative set of medical AI models from Google and Microsoft, recently achieved a remarkable 91.1% accuracy in analysing complex patient health data. The system excels in finding subtle and rare medical conditions and performs well in medical evaluations using a chatbot.
The Future of Healthcare
While AI integration into global healthcare systems is still in its early stages, the potential for improved diagnoses, preventative medicine, and treatments is immense. However, the goal is not to replace healthcare professionals but to provide them with tools to improve outcomes.
As Mihaela van der Schaar, director of the Centre for AI in Medicine at Cambridge University, states, “We need to make sure that we design and build AI to help healthcare professionals be better at what they do…not to replace them.”
What are your thoughts on AI’s role in transforming healthcare? Have you used any AI-powered wearables or health apps? Share your experiences below and don’t forget to subscribe for updates on AI and AGI developments.
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