Whether you are new to machine learning or are looking forward to coming up with a startup in the same domain, the best way to get inspired is by looking at successful startups. Machine learning has not left any industry untouched. Be it healthcare, defense, B2B services, or agriculture, machine learning has catered in numerous ways. In this article, we will throw light on the top 10 machine learning startups to watch in 2023. Read on!

Alongside the potential to remove tasks from the plate of clinical staff, artificial intelligence also enables the collection of thousands of data points a day on each patient. AI technology can recognize connections, formulate subsequent conclusions and can help advance health care practices, but only if the data is available.

AI has become a board-level priority. Last month, Optum published their 4th annual AI survey and 98% of the 500 healthcare executives they surveyed said they have an AI strategy or are planning to implement one. Healthcare organizations are not only ready for AI—they need it to succeed.

Built in ATX releases their annual Best Places to Work Awards, and ClosedLoop is honored to earn a place on the 2023 list.

ClosedLoop.ai CEO, Andrew Eye, shares the unique culture, vision, and approach to pleasing partners that make ClosedLoop the highest scoring software firm across all Best in KLAS technology providers.

Organizations will look to achieve actual ROI from artificial intelligence, but will need consultative help from solution providers such as ClosedLoop.ai.

By harnessing the power of machine learning in modern healthcare, teams at ClosedLoop are pushing to predict ailments before patients ever see a hospital bed.

Artificial intelligence and genomics will give clinicians more weapons in the arsenal to fight disease, but they’ll also pose integration challenges.

These are six startups that have had a banner year disrupting a variety of healthcare areas, from drug discovery and operational efficiency to disease detection and cell biology research.