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AI in ASIA
AI in healthcare
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How AI and Wearables are Transforming Medicine

Exploring the transformative impact of AI and wearables on healthcare,

Intelligence Desk3 min read

AI Snapshot

The TL;DR: what matters, fast.

AI and wearable technology are transforming healthcare by providing personalized health insights and remote monitoring capabilities.

Predictive analysis, powered by AI, can detect early signs of health issues, with examples like rapid diagnostic tests and smart contact lenses for glucose monitoring.

AI models like Med-Gemini are enhancing diagnostic accuracy, and while AI integration is early, it aims to augment healthcare professionals rather than replace them.

Who should pay attention: Healthcare professionals | Technologists | Patients

What changes next: Debate is likely to intensify regarding data privacy and ethical AI use.

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."

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