AI-based Healthcare: What to Expect in the Near Future?

AI-based Healthcare: What to Expect in the Near Future?

Healthcare Tech Outlook | Monday, January 28, 2019

Although many other industries have made progress, healthcare is probably the market in which AI has had a significant impact that goes beyond convenience and has a positive effect on human life. Machine algorithms with AI can be more accurate when interacting with training data, giving people unprecedented insights into diagnostics, treatment processes, and variability of treatment.

From interacting with patients to leading patients to the most efficient care environment, virtual care assistants could play an important role in the time and cost reduction for the healthcare industry. Robot-assisted procedures can compensate for differences in the skills of doctors in new or difficult surgeries that often have an impact on the patient's health or the cost of the procedure. The idea of a machine operating on humans has been intimidating enough for years. But soon after it became a reality; in May 2006, the first AI doctor performed unassisted heart surgery on a 34-year-old man, which was able to give innovators the confidence to continue their field research. AI has already been deployed in Western countries to maintain drug surplus and inventory.

Silicon Valley-based healthcare technology company, Scanadu, invented, AI-based medical research companion that helps users customize their health data.

In healthcare, medical professionals could be relieved of the burden of easily and quickly diagnosable health concerns. In laboratories, health robots help medical personals to take samples, transport, analyze and store the samples safe. Juniper Research report found that the adoption of chatbots throughout the retail, banking, and healthcare sectors will save business costs by $11 billion per year by 2023, up from an estimated $6 billion in 2018. Accenture’s study has predicted that by 2021, the growth of the AI health space is expected to reach $6.6 billion with a CAGR of 40 percent.

The paper published in Nature Genetics shows that AI can now thoroughly understand and anticipate changes in DNA structure patterns. These findings indicate that the AI analysis of DNA structures exceeds human capabilities because of its speed and accuracy. When saving minutes can save lives, AI and machine learning can transform not only healthcare but also every patient.

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