Popular AI Healthcare Tools

Many popular medical AI tools have received a lot of attention in recent years. Here are some examples:

IBM Watson Health: IBM Watson Health is a well-known artificial intelligence tool used in healthcare. It uses language processing and machine learning algorithms to analyze large volumes of medical data, including research data, patient data, and clinical trials. It can help identify diseases, recommend treatment, and give patients personalized advice.

Streaming from Google DeepMind: Stream is a health app developed by Google's DeepMind team. It uses Ai tool to analyze patient data and make recommendations to the doctors advice. Flow specifically aims to improve the management of acute kidney injury (AKI) and other chronic conditions.

Zebra Medical Vision: Zebra Medical Vision offers a variety of intelligence-based analytics solutions. Its equipment analyzes medical images such as X-rays, CT scans, and mammograms to help radiologists detect and diagnose a variety of diseases, including lung cancer, pressure, and heart problems.

Tempus: Tempus is an artificial intelligence-driven platform that collects and analyzes clinical and molecular data on cancer patients.

It aims to improve cancer care and treatment by providing personal insights, identifying patterns in big data, and helping doctors make informed decisions.

Aidoc: Aidoc is an intelligent radiology system that uses deep learning to analyze medical images and assist radiologists in detecting abnormalities. It focuses on important problems such as intracranial hemorrhage or pulmonary embolism to help radiologists make a timely and accurate diagnosis.

Butterfly Network: Butterfly Network has developed an intelligent handheld ultrasound device called the Butterfly iQ. The device connects to a smartphone or tablet and uses artificial intelligence to generate high-resolution ultrasound images.

It can increase the accessibility and speed of diagnosis by allowing doctors to perform ultrasound examinations at the point of care.

These are just a few examples of popular medical AI tools that have been successful in recent years. It is worth noting that AI in healthcare is developing rapidly with new tools and applications emerging as technology.