The Examples and Benefits of AI in Healthcare

A key success, Kohane said, may yet turn out to be the use of machine learning in vaccine development. We won’t likely know for some months which candidates proved most successful, but Kohane pointed out that the technology was used to screen large databases and select which viral proteins offered the greatest chance of success if blocked by a vaccine. In some cases, these conditions are deadly when not treated correctly and promptly.

However, there is no aggregated repository of radiology images, labelled or otherwise. While the promise of AI/ML in healthcare has been there for decades, we believe its role came into the spotlight during the Covid-19 pandemic response. AI helped companies develop Covid-19 mRNA vaccines and therapeutics at unprecedented speeds. Further, the Covid-19 pandemic underscored the need for digital solutions in healthcare to improve patient access and outcomes, and represented a key inflection point for telehealth and remote monitoring. From a data standpoint, the healthcare industry produces and relies upon massive amounts of data from diverse sources. The need for these technologies is there given the inefficiencies in the healthcare system.

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These include conducting risk analyses to understand their unique risks and responding to those risks by implementing strong security measures, such as encryption and multi-factor authentication. Additionally, health care providers must have clear policies in place for the collection and use of patient data, to ensure that they are not violating patient privacy. A critical component of diagnosing and addressing medical issues is acquiring accurate information in a timely manner. With AI, doctors and other medical leverage immediate and precise data to expedite and optimize critical clinical decision-making. Generating more rapid and realistic results can lead to improved preventative steps, cost-savings and patient wait times.

NLP systems can analyse unstructured clinical notes on patients, prepare reports (eg on radiology examinations), transcribe patient interactions and conduct conversational AI. One benefit the use of AI brings to health systems is making gathering and sharing information easier. Another published study found that AI recognized skin cancer better than experienced doctors. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

AI in precision medicine

However, in a recent survey, around 50% of Americans say they prefer healthcare professionals who offer phone or web-based consultations. Startups such as Lark use conversational AI to help patients who are suffering from chronic diseases. The platform utilizes health data to monitor activity levels, sleep, and mindfulness, amongst other things.

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