Topic: Artificial Intelligence, HealthCare

Four Artificial Intelligence technologies that are transforming healthcare

Advances in AI have accelerated the innovation landscape in healthcare, resulting in improved health outcomes whilst reducing the cost of providing healthcare. AI is now enabling new possibilities in healthcare which were assessed as not feasible earlier. IBM’s Watson and Google’s DeepMind are solving real-world problems in medicine, free from cognitive biases, by partnering with various healthcare players. In this blog post, I will discuss the four Artificial Intelligence technologies that are transforming Healthcare:

1) Natural Language Processing (NLP)

AI plays an important role in converting complex data into simple meaningful insights; and this work is made easier by NLP. NLP focuses on mimicking human-like responses, by using algorithms to respond to queries and hold conversations. NLP in healthcare sector can be used to summarize long narrative text, such as academic journal articles or clinical notes by pointing out the key concepts or phrases in the reference document. NLP can also map data elements in EHRs, which are present as unstructured text, into structured meaningful data to improve clinical decision making.

For example, Intermountain Healthcare has used NLP to identify the cause of an illness in a person, by mining medical record data of patients to identify cases like stroke, cancer, heart failure, and cases with venous thromboembolisms (formation of blood clots in the deep veins of the leg).

2) Deep Learning

The diagnosis and treatment of diseases is likely to further improve with the implementation of AI in the healthcare sector. Deep learning, a component of AI, can be used to analyze medical data and images to enhance the ability of physicians to treat diseases. Deep learning can help the visually  challenged make sense of the environment, i.e., AI uses computer vision and text-to-speech to narrate the text, identify facial cues of the people nearby, study the surroundings anddescribe the environment. Three trends that drive the deep learning revolution include sophisticated neural network algorithms modelled on the human brain, more powerful Graphics Processing Units (GPUs), and access to the enormous amounts of data from the internet. For example, IBM Watson is being trained to help doctors with medical diagnosis using cognitive computing and a deep learning approach.

3) Context Aware Processing

AI can be utilized for virtual assistant applications like Apple’s Siri, Google Assistant, Amazon Alexa and Microsoft Cortana, in the healthcare sector, which can perform tasks as directed by the programmer. AI chatbots, when used in healthcare, can phenomenally reduce the burden on medical professionals to coordinating care and detecting issues or diagnosable health concerns. Bots would be an evolution of health assistants. For example, Bots like HealthTap or Your Md use AI to find solutions to the most common symptoms. However, chatbots act as enablers in the process to direct the patients to the right physician for diagnosis and therapy. They would be supplementary to the duties of an experience doctor.

4) Intelligent Robotics

AI can also be used with robotics. Physical robots can revolutionize life care facilities, by helping people stay healthy and reduce hospitalization needs. AI, coupled with the advanced humanoid design, is powering robots to have conversations and social interactions with aged patients to keep their minds sharp. Since robots have greater flexibility and reach, they can be used for making smaller incisions with more precision in the affected areas. Certain robots can serve as a social partner to treat mental health issues or to alleviate loneliness. Companies such as Blue Frog Robotics (developer of BUDDY), National Institute of Advanced Industrial Science and Technology, or AIST (developer of PARO), among others have augmented the concept of companion robots to the healthcare sector.

At Mindfields, we have been driving innovation and excellence by leveraging disrupting technologies to optimize business processes that enable our clients to 'Grow for tomorrow'. To learn more about applications of Artificial Intelligence in Healthcare and the technology landscape, download Mindfields’ AI in Healthcare report here.

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