AI Articles and Analysis in Healthcare

Explore articles and analysis related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.

AI Healthcare Innovations in Europe - An Overview of Startups and Innovation

AI Healthcare Innovations in Europe – An Overview of Startups and Innovation

Accenture forecasts that growth in the AI healthcare market is expected to reach $6.6 billion by 2021 from $600 million in 2014, growing at an annual compound rate of 40%. We've covered AI in healthcare extensively on TechEmergence, but in this report we'll be looking at four European companies offering more niche solutions for both business and consumers in the healthcare space. We found that these solutions are intended to help CPG companies with at least one of the following business problems:

AI in Fitness

AI in Fitness – CRMs, Gym Management Software, and Chatbots

According to the International Health, Racquet & Sportsclub Association, the global fitness industry earned revenues estimated at $83.1 billion in 2016, up from $81 billion in 2015, and growing by 2.6%. If it continues at this rate, it should reach $87.5 billion in 2018. As of now, numerous AI vendors claim to assist gyms with signing up new gym customers, developing nutrition and fitness programs, and maintaining good customer relationships. Some offer chatbots that they claim can help gym members maintain personalized fitness regimens.

Business Intelligence in Healthcare - Current Applications

Business Intelligence in Healthcare – Current Applications

According to Deloitte, global healthcare spending is expected to grow annually by 4.1% from 2017-2021, up from just 1.3% in 2012-2016. The report suggests this growth will be fuelled by aging, rising populations, the growth of developing markets, advances in medical treatments, and rising labor costs.

Emerj CEO Presented at the World Bank’s Big Data, Artificial Intelligence and Decision Science in Health and Nutrition Program

Emerj CEO Presented at the World Bank’s Big Data, Artificial Intelligence and Decision Science in Health and Nutrition Program

Event Title: Big Data, Artificial Intelligence and Decision Science in Health and Nutrition

Event Host: the World Bank Group

Computer Vision in Healthcare

Computer Vision in Healthcare – Current Applications

According to Deloitte and the Economist, global annual health spending should reach $8.734 trillion dollars by 2020, and, as mentioned in our previous report on AI for Healthcare in Asia, InkWood Research estimated the size of the artificial intelligence market in the healthcare industry at around $1.21 billion in 2016. As of now, numerous AI vendors claim to help healthcare professionals diagnose patients using machine vision. Other AI vendors claim to offer solutions for increasing adherence to drug therapy programs.

Machine Learning in Radiology - Current Applications

Machine Learning in Radiology – Current Applications

It should come as no surprise that AI has found its way into radiology in a similar fashion to most other medical fields. Many AI vendors selling into the radiology field are just beginning to gain regulatory approval. We researched the use of AI in radiology to better understand where AI comes into play in the industry and to answer the following questions:

Using Wearable Data for Artificial Intelligence Applications - Current Use Cases

Using Wearable Data for Artificial Intelligence Applications – Current Use Cases

International Data Corporation reports that the global wearables market continued to grow in the second quarter of 2018 as shipments reached 27.9 million units, an increase of 5.5% year-on-year. This growth translated to $4.8 billion year-on-year for the quarter. Smartwatches continued to be the most popular wearables.

Artificial Intelligence in the Pharmaceutical Industry 950×540

Artificial Intelligence in the Pharmaceutical Industry – An Overview of Innovations

Several factors have contributed to the advancement of AI in the pharmaceutical industry. These factors include the increase in the size of and the greater variety of types of biomedical datasets, as a result of the increased usage of electronic health records.

Healthcare

Explore articles and analysis related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.