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Executive Search · Headhunter · Medical Technology Industry · MedTech · Artificial Intelligence

Artificial Intelligence in MedTech *

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Artificial Intelligence in MedTech

Artificial intelligence (AI) is increasingly being used in medtech to improve healthcare in several ways.

Firstly, AI is helping physicians quickly identify medical problems.

Secondly, AI is enabling better and more discreet health monitoring.

Thirdly, AI is being used to develop AI-enabled prosthetics.

Fourthly, AI is providing better visualization during surgery.

For example, AI-assisted colonoscopy tools like GI Genius help gastroenterologists detect more potential diseases, while AI-powered Cardiac Performance System (CPS) devices like Sensydia's analyze heart sounds to provide a full cardiac assessment in under five minutes.

Additionally, AI algorithms hold promise for myoelectric control for prosthetics, and Activ Surgical's ActivSight Intelligent Light product provides enhanced visualization and real-time surgical insights during surgery.

The COVID-19 pandemic has forced medtech companies to adopt digital solutions, resulting in customer engagement preferences.

Medtech companies can leverage advanced analytics to micro-segment customers, create propensity-to-buy models, recommend next best actions, suggest tender prices, predict and prevent customer churn.

However, companies exploring commercial AI use cases should avoid five common missteps:

  • waiting for the perfect data or technology,
  • presuming that only the most advanced AI will deliver insights,
  • assuming that data scientists and field reps can’t work together,
  • pursuing only the areas of greatest opportunity,
  • and adopting a “go big or go home” approach to advanced analytics.

Commercial organizations can reap significant value from data and analytics without needing new data sets or an ideal technology foundation.

Overall, AI holds the promise to support humans in their daily lives, take care of routine tasks, and advance human health outcomes.

While there are challenges and limitations to its implementation, AI has already demonstrated its potential to revolutionize healthcare and improve patient outcomes.

We are impressed! Although...

... well, we are not arguing with the content of this computer manufactured article.

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