We set out to help enterprises lead the AI revolution. Then we launched two benchmarks that enterprises can use to assess their level of AI adoption. As a marketer, you could complete the marketing personalization benchmark to assess maturity of your personalization efforts. As a sales professional, you could complete the B2B sales benchmark to understand maturity of your sales tech efforts. Aim was to keep our users aware of developments in the sales landscape where bots can listen in to calls to provide in call guidance and analytics.
Days of squinting at X-ray results is over. As the New Yorker explains: In some trials, “deep learning” systems have already outperformed human experts. Medical imaging solutions allow companies to bring accurate and accessible disease screenings to doctors to proactively treat cancer and other diseases at their most manageable stages and improve patient outcomes.
As a result of our assessment of vendors providing Artificial Intelligence driven solutions in this space IBM Watson, Butterfly Network Inc., Arterys, Gauss Surgical and Zebra Medical Vision are the top vendors. Based on their momentum and size Sigtuple, Freenome, Enlitic are the rising vendors. Please see our methodology for details on how we select vendors to this list and how we pick top vendors and rising vendors. For the whole list of companies in the space, visit the medical imaging insights section of appliedAI.com.
Some AI use cases are already gaining significant traction with tens of vendors competing providing competitive solutions. In healthcare, patient data analytics is such a use case. Patient data analytics solutions allow companies to access multiple sources both within healthcare provider’s own records in different systems and from other healthcare providers and clinicial studies. These solutions include capabilities to analyze various data formats including natural language to uncover insights.
We have identified about a dozen artificial intelligence use case in healthcare industry and structured these use cases around typical process that used in healthcare industry. We are currently try to reveal big picture for artificial intelligence technologies in healthcare. It means that our framework is not comprehensive but it gives you an insight about the activities and use cases. Also, it is ever improving so please let us know if you have any comments and suggestions. The activities and AI use cases in these activities are:
Yesterday, we shared a selected list of leading vendors in healthcare using artificial intelligence related technologies. There were a few requests to provide more detail. In this version you can also learn a bit more about the areas these companies operate in:
Management activites include providing support&services for pricing, risk management and market research.
R&D: Drug discovery, gene analytics and editing, comparing device and drug effectiveness
Imaging& Diagnostics: Early diagnosis enabled via advanced imaging and machine learning techniques, medical imaging insights