Among start-ups in the field of artificial intelligence (AI), it receives the most investment and healthcare.

The amount invested in the healthcare industry is 15% of the total venture capital (as of 2015).

Looking at the detailed areas invested in healthcare, healthcare analytics → personal life monitoring and management → medical image processing and diagnosis.

About $1.5 billion (1.6 trillion won) has been invested in 190 investments by artificial intelligence startups, and the analytics sector, which uses machine learning and natural language processing algorithms to provide predictions and insights on patients’ health, has recently drawn attention.

Imaging & Diagnostics: Since image analysis is the field of finding patients’ diseases by analyzing medical image (MRI, CT, etc.), image analysis accounts for one-third of artificial intelligence healthcare startups founded after 2015, and deep learning, an artificial intelligence technology, is expected to continue to increase.

Lifestyle management & monitoring: It is growing with the development of wearable devices, a field that provides personalized health care by monitoring an individual’s usual eating habits, lifestyle, exercise, and drug use and analyzing collected data.

Insights & Risk analytics: The field of providing insights into the health status of patients to medical service providers (doctors, insurance companies) using artificial intelligence technology and big data analysis technology together. All available data such as various factors, medical records, and demographic factors for symptoms are used.

Drug discovery: areas that reduce the time and cost of developing new drugs using machine learning technology, Emergency room & hospital management: helps manage optimized medical services, manages emergency room conditions in real time, and monitors the amount of blood administered to patients during surgery.

Wearables: Related SW, HW field that monitors biometric data from individuals, Virtual Assistant: areas where users can receive medical services through remote connections with doctors (video, voice, text, etc.), and venture investments are still small, but potential areas.

Mental Health: Managing not only physical health but also psychological and mental health, helping relieve patients’ depression or anxiety, and the number of companies in this field is still small, Research: Genetic analysis, etc.

Nutrition: By using artificial intelligence technology to analyze and provide the relationship between nutrition and health of food, the number of artificial intelligence startups in the healthcare sector increased nearly 200% in 6 months from about 32 (16.02) to about 92 (16.08).

The Watson for Oncology program can produce necessary results from a vast range of materials, including documents and documents held by the Memorial Sloan Kettering Cancer Center, more than 290 medical journals, more than 200 textbooks, and 12 million documents.

Watson, produced with IBM’s artificial intelligence computing technology, is a computer that resembles the human brain and learns and analyzes in the same way as humans.

Watson analyzes and interprets vast amounts of data within seconds to verify information and supports decision-making, and Watson is evaluated to be able to recommend treatment options to patients with considerable accuracy by announcing the results of cooperation with the MD Anderson Cancer Center.For the first time in Korea, Gachon University Gil Hospital will introduce IBM’s Watson For Oncology and put it into the multidisciplinary treatment team from October 15, and doctors will be offered various treatments that can be selected by integrating vast data in 20 seconds.

Major artificial intelligence healthcare startups

(1) iCarbonX

Founded on October 27, 2015, it is a Chinese artificial intelligence healthcare data analysis company that uses artificial intelligence to collect genomic information, medical information from each medical institution, and personal information to provide personalized medical information (Health Analysis and Health Index Forecast). It is expected to exceed $1 billion (about 1 trillion won) and will occupy a major position in the field of artificial intelligence.

Founded on September 13, 2005, it acquired Imagu Vision Technologies, an Israeli AI company, and established an iCarbonX-Israel AI R&D Center centered on healthcare to develop data analysis and machine learning technology.

(2) Gauss Surgical

It developed Triton, a system that monitors surgical blood loss in real time, and provided a service that accurately estimates real-time blood loss during surgery with a mobile vision system based on an iPad to prevent unnecessary blood transfusions.It was established in 2011 and in March 2016, it received $12.6 million (about 14 billion) in support, totaling $24.6 million (about 27 billion in funds).According to the Blood Management Association, about 88 percent of transfusions did not benefit patients, and it is estimated that surgical blood loss is visually judged and hyperecepted, and Triton is FDA-approved.

However, I would like to introduce HATI HATI, a Korean healthcare solution as much as this. As an artificial intelligence solution, it has already been introduced as the best paper in the society (Spanish Artificial Intelligence Association), as well as its own watch-type software such as blood pressure, electrocardiogram, blood sugar, and body temperature.

Above all, the core of medical treatment is thought to be diagnosis, and providing a quick and contactless treatment is an important indicator.

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Sam Kim

Asia Journal

Tech firms showcased their latest gadgets at the MWC, which kicked off with the keynote speaker SoftBank Group chief executive Masayoshi Son saying, “Artificial intelligence will be smarter than the human brain within 30 years.”

LG Electronics moved into the limelight at this year’s tech event by outpacing its rival Samsung in revealing its newest smartphone G6, the first non-Google phone to support the Google Assistant, an AI-based voice assistant.

With the adoption of machine learning — the ability to learn without being explicitly programmed — the AI assistant makes its smartphone smarter the more one uses it, the company said.

LG set up a separate room to demonstrate its Google Assistant and how it can be connected to other devices like a smartwatch. When one visitor vice commanded the smartwatch play Michael Jackson, the music was played through the G6 smartphone connected to the watch.

A LG official said, “The Google Assistant, with its open platform, can be further connected with other products like home appliances in the future.”

LG G6′s Google Assistant (The Korea Herald/Shin Ji-hye)

Korean telecom operator SK Telecom also showcased its AI-powered speaker NUGU alongside some home robots made in partnership with local tech companies Future Robot and IPL.

NUGU was demonstrated in English during the event in partnership with IBM’s question-answering computer system Watson. Other robots ran only in Korean language.

Visitors paid keen attention to how NUGU worked, giving out such commands in English as ”tomato spaghetti recipe,” to which the speaker correctly recited the instructions.

Ernst-Joachim Steffens, research director at Deutsche Telekom, said he tried several robots at the event.

“In Germany, we don’t have such home robots although we do have many industrial robots. I want to buy it if the price is affordable,” he said.

SK Telecom’s NUGU (The Korea Herald/Shin Ji-hye)

German automaker BMW, meanwhile, demonstrated its connected car technology outside the main hall in partnership with chipmaker Intel.

When an employee wearing a smartwatch made a gesture, the car parked in a garage moved backward for a driver to get in. It was possible as the sensors in the car can detect objects in its surroundings, according to the firm.

BMW’s autonomous driving technology is expected to be further developed through Intel’s 5G-ready solution platform when the 5G network is fully ready by 2020, it added.

Intel said it will deploy machine and neural learning technology to help the car “think” via cloud.

For instance, if there is a dog standing in front of the car, it will recognize it as a dog because it has the capability to recognize the type of an object and make an instant decision.

“The more the car is used on the road, the car becomes smarter as it collects more data and learns more realistic scenarios even car designers haven’t thought of,” Rob Topol, general manager of Intel’s 5G business and technology unit, told The Korea Herald.

BMW Connected car (The Korea Herald/Shin Ji-hye)