EUR 3400.94 For Business Accounts Only

Artificial Intelligence in Healthcare - Thematic Research

Artificial Intelligence in Healthcare - Thematic Research

Summary

Machine learning is an artificial intelligence (AI) technology that allows machines to learn by using algorithms to interpret data from connected things to predict outcomes and learn from successes and failures.

There are many other AI technologies—from image recognition to natural language processing, gesture control, context awareness, and predictive application programming interfaces (APIs)—but machine learning is where most of the investment community’s funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans.

Many companies, like Alphabet, have already become “AI-first” companies, with machine learning at their cores. At the same time, many machine learning techniques are getting commoditized by being open-sourced and pre-packaged into developer toolkits that anyone can use.

The applications of AI in healthcare are numerous, with the potential to transform key aspects of the industry such as data management, drug discovery, personalized and precision medicine, clinical trial design, and management, and robotic surgery.

Scope

The focus of this report is on the applications of AI in healthcare, with the potential to transform key aspects of the industry such as:
-Data management,
-Drug discovery,
-Personalized and precision medicine,
-Clinical trial design and management, and
-Robotic surgery

Reasons To Buy

The report identifies:
-Key technology leaders in each of the 10 key AI technologies, including machine learning, smart robots, image recognition, video recognition, recommendation engines, NLP, virtual personal assistants, gesture control, context awareness, and predictive APIs.
-Key trends we expect to see in the AI sector over the next two to three years categorised as technology trends, macro-economic trends, and applications of AI in healthcare.
-The value chain across the 10 categories of AI, along with an industry analysis which includes the tech sector's angle, enterprise software players, proprietary datasets, the transformation of the Chipset market, timeline, and partnerships and acquisitions.
-The impact of AI on healthcare with the help of healthcare case studies.
-A technology briefing on the histroy of ML, and how deep learning works.