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Imaging studies are an important part of screening and diagnosis for some cancers, lung, and breast in particular. Such studies have led to more lung and breast cancers being diagnosed at a smaller size compared to what was found prior to the advent of screening programs. One important research question that is currently being explored is whether the use of artificial intelligence to aid in diagnosis can improve the performance of radiologists alone. Lets take a look at what we know so far.

According to the American Cancer Society (ACS), approximately one in eight women will be diagnosed with breast cancer in their lifetime. It is the second leading cause of death from cancer in women.

Breast cancer screening is commonly performed on patients who have no obvious signs of disease. Many of these women are not at high risk for the disease. Nor do they have a family history.

Although many preventive health guidelines recommend screening mammograms, concerns have been raised. For example, one in five abnormal mammograms is a false positive. That means the mammogram was read as positive by a radiologist but proved not to be cancer on biopsy.

Over the span of ten years, about half of women are given a false-positive result. This usually leads to further testing, anxiety, distress, and sometimes unnecessary procedures or treatment.

Experts from Google Health and its subsidiary, Alphabets DeepMind unit, recently worked with Northwestern University, Cancer Research UK Imperial Center, and Royal Surrey County Hospital to examine aspects of radiographic breast cancer diagnosis. In particular, they wanted to better understand the reasons for inaccuracies in the diagnosis of breast cancer. And, they wanted to determine if artificial intelligence could help.

In order to comprehend how AI can be used to improve the results of breast imaging moving forward, it is important to have a basic understanding of how this artificial intelligence system works. This is a type of system known as Deep Learning which involves a three-dimensional model:

The results of this research were recently published in the journal Nature in an article titled International evaluation of an AI system for breast cancer screening. The study compared the results of mammography readings in an artificial intelligence model to those read by radiologists. There were close to 26,000 women from the UK and over 3,000 women in the United States in the study.

The researchers found that the artificial intelligence model reduced both false positives (when patients are told they have cancer when they dont) and false negatives (when the disease is present, but not diagnosed).

Although in this early testing the AI caught cancers missed by radiologists, there were also cases in which it missed cancer that was caught by radiologists. This suggests that AI alone may not be the sole solution moving forward.

With approximately 160,000 deaths in 2018 due to lung cancer, it is the most common cause of cancer death in the United States. The U.S Preventive Services Task Forces (USPSTF) new guidelines for the use of low dose computed tomography has recently been updated for individuals at high risk of having lung cancer.

Lung cancer screening using this type of computed tomography testing has been shown to reduce death by 20-40%. However, similar to breast cancer screening, one ongoing issue with the use of this screening exam has been the high rate of false positives (a result that indicates that a person has a disease when they actually do not). Although low-dose lung CTs have helped immensely in early detection, it has been found that about one-quarter of the suspected nodules are actually not cancerous.

To determine if this could be improved upon, doctors at Northwestern University and Stanford, teamed up with Google to determine if the same type of artificial intelligence, called Deep Learning, could help improve upon our current methods with lung cancer.

Researchers from Google used more than 42,000 CT scans to train this artificial intelligence system to detect cancerous lung nodules on radiology imaging. The study, titled End-to-end lung cancer screening with three-dimensional deep learning on low dose chest computed tomography was published in Natureas well.

Over 6,000 National Lung Cancer Screening Trial cases were tested in this study. In addition, there was an independent evaluation of a set of over a thousand cases. The performance of the artificial intelligence system was compared against radiologists who had evaluated low-dose chest computed tomography scans for patients several of which had confirmation of cancer by biopsy within a year.

This deep-learning artificial intelligence system produced fewer false negatives (a result that indicates that a person does not have a disease when they actually do) as well as fewer false positives. When prior imaging was available, the model performed better than the radiologists (six of them) with an 11% reduction in false positives and a 5% reduction in false negatives.

The Nature study was a retrospective study that examined past cases. This type of study design is not as strong as prospective studies with randomization. Mozziyar Etemadi, MD, Ph.D., one of the authors of the study has said that the next step is to perform a prospective study to see if the tool, when used by a radiologist, can lead to earlier and more accurate diagnosis of cancer.

Another caveat is that it may be some time before AI with deep learning is routinely used in hospital and free-standing radiology suites. The algorithm that is the backbone of the AI-deep learning system is very sophisticated and will undoubtedly require some painstaking work to fully integrate into hospital computer systems. Further, the variability of many cancers could make new scenarios difficult for the deep learning system to interpret if they have not been seen before.

We also need to consider that although AI with deep learning improves some aspects of cancer screening diagnoses, it is not (yet) perfect. It may be that the best way to introduce AI into imaging analysis is to add it to the workflow of radiologists. This is because both have the potential to not catch something or make mistakes.

The performance of the deep learning system shows that there can be a beneficial role of artificial intelligence in cancer screening moving forward. In fact, the use of algorithms that incorporate co-morbidities and risk factors in medicine is not uncommon today. However, the use of such a sophisticated one on its own will most certainly take time. It will also require well-designed prospective studies that follow patients over time. Nonetheless, there is no denying that there will be an important role of artificial intelligence in cancer screening moving forward.

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Artificial Intelligence: Can It Improve Results of Cancer Screening... - The Doctor Weighs In

Without the help of AI, the agent has to go through the entire process of marketing, gathering leads, finding the right buyer and following up. Now, the reason for stressing on how time-consuming and tedious this job is, is that the restorative has been found - TruConnectRE.Com.

FALLS CHURCH, Va. (PRWEB) January 27, 2020

Artificial intelligence, as we know it, is going to revolutionize the real estate sector and give it groundbreaking innovation. It is clear that this phenomenal technology is going to impact the future of real estate in a huge way through its ability to gather, analyze and extract information more efficiently, speeding up processes. Other than efficiency, it saves heaps of money in real estate transactions. Experts have foreseen that the advancement of AI in the real estate sector will increase the weight of technical solutions and alter the pertinence of human involvement. In the future, artificial intelligence will, in particular, automate facility management, i.e. the management of the real estate. At this plane, it's not instantly visible how real estate is influenced by artificial intelligence but it is. This impact is on the buying, selling, and maintenance of the Real estate.

With the worldwide market size of $280.6 trillion and nearly $9.6 billion in technology investments, the real estate industry has become one of the most prominent industries in the world. At that rate, one would that this industry would be the most technologically enlightened. However, until very recently, real estate agents would go out into their neighborhoods, knock on doors and introduce themselves to prospective home buyers. Or they would buy lists of contacts and start cold calling. Fortunately for realtors, those days are long gone. The biggest strength of Artificially Intelligent systems lies in having access to tons of data and being able to find patterns in that data, generating insights and inferences while augmenting peoples ability to make decisions based on that data.

Recently, research proved that up to 98% of home buyers now start their research online before they get in touch with a real estate professional and 71% of them settle for the first agent they connect with. With both, the buyer and seller online, one would assume that all that needs to be done now is to find the right buyer and sell to them. Nope. Its not that simple. Without the help of AI, the agent has to go through the entire process of marketing, gathering leads, finding the right buyer and following up. Now, the reason for stressing on how time-consuming and tedious this job is, is that the restorative has been found - TruConnectRE.Com.

TruConnect Real Estate is deeply vested in the agents win. It not only furnishes solid leads for the realtor but also offers a turn-key solution to the problems at hand. With its data-driven, human-powered approach, TruConnectRE.Com provides the realtor with advanced Artificial Intelligence software to manage and track the leads provided. The best part? TruConnectRE charges only a 25% referral fee succeeding in a closing! A powerful lead generation system uses both, inbound and outbound marketing to engage buyers and take them towards conversion. To expedite that, TruConnect also tailors and executes marketing material, establishing an all-in-one platform for the realtor.

With its developing strategy, TruConnect Real Estate does all the work for the realtor by generating thousands of real estate leads from around the world. And it doesnt stop there. They call the turnover, strain and ensure follow-ups until they find the perfect client for an agent to connect with. All the while, they not only increase performance and cut down costs but also rid the agents of the tiresome task of calling leads. This frees up time for the realtor to focus on the buyer, closing 2 to 5 times the deals they normally do. Agents are introduced to screened and effectuate clients and are left to form a relationship and come to an agreement.

Artificial intelligence proves to be very advantageous in streamlining the glacial real estate processes. TruConnectRE.Com with its powerful AI software can now aid the human-led processes to make them accurate and more efficient, helping them serve their client better.

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How Artificial Intelligence (AI) Is Revolutionizing the Real Estate industry - PR Web

Mosquitos cause serious problems throughout the globe, spreading diseases such as malaria, dengue, and zika. According to the World Health Organization (WHO), they are responsible for more than 1 million deaths every year. Now, artificial intelligence (AI) is being used as a way to fight back. This comes at a time when the effects of mosquitoes continues to worsen, especially due to the consequences of climate change.

Back in the summer of 2018, Europe faced a growing threat of the West Nile virus infection. The increased threat was due to the rise of temperatures and wet weather, conditions that are preferred by the insect.

The Institute of Agrifood Research and Technology (IRTA) in Catalonia, Spain is now using artificial intelligence (AI), sensors, and satellite communication in order to automate the process of trapping mosquitoes. The technology also classifies them according to species, sex, age, and if they can cause infection.

IRTA is owned by the government of Catalonia, and they have developed the EU-funded VECTRACK project. Remote sensing and spatial modeling techniques will be adopted, and these will create special maps to help with risk surveillance and assessments.

The project will rely on the Earth Observation Satellite Sentinel service. It will also use ground nodes with optoelectronic sensors in order to remotely count and classify the mosquitos. It is set to be the first transnational and automated vector surveillance system.

VECTRACK was developed by Irideon, a Spanish-German company based in Spain. The company sells sensor-based products to different sectors.

Trapping has been used by countries for a long time in order to control mosquitoes, and manual trap inspections are done by researchers or technicians. These inspections take a lot of time and resources, especially when it comes to classifying mosquitoes accurately by eye.

The test phases with the special traps are being done by the Barcelona Public Health Agency (ASPB). They are responsible for controlling and monitoring mosquitoes in the city.

What makes the traps different from those already in use is the addition of optoelectronic sensors. This enables remote and automated counting and classification of targeted mosquitoes.

According to researcher Dr. Carles Aranda, mosquitoes are attracted to the traps. The traps emit carbon dioxide as an entree and then suck the specimens inwards so that they do not escape.

The sensors collect data for various different parameters including temperature and humidity related to the GPS location of the trap. A digital fingerprint of the mosquitoes is then created with the morphological, physiological, and flight kinetics of the insect.

The VECTRACK sensors are able to be installed throughout most of the globe. They are compatible with many different communication protocols such as 2G, 3G, 4G, Wi-Fi, LPWAN technologies NB-IoT and LoRA, and satellite IoT.

After the sensors collect the data, it is sent to the cloud to be analyzed by algorithms. It is then processed in geographic information systems that are provided by Avia-GIS Software, a Belgian company. The European Space Agency (ESA) provides satellite information which the data is integrated into.

The real-time risk maps that are developed by the researchers through the process can be provided to regional, national, and international public-health bodies like the European Center for Disease Control.

The new technology can be extremely helpful in preventing disease and controlling epidemics.

The Protocol of the Surveillance and Control of mosquito-borne diseases began in 2014. 507 cases of dengue have been detected in Catalonia, highlighting the importance of this technology.

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Artificial Intelligence Used to Fight Against Mosquitoes - Unite.AI

Exercise Coach, a high-tech fitness smart-gym which mainly relies on artificial intelligence vs traditional equipment, will open in Franklin at 1909 Mallory Lane, Suite 106.

The opening date is set for Feb 4th.

For owner Wil Soles, of Nolensville, this is his first Exercise Coach and he has plans to open locations in Belle Meade and/or Nolensville within the next three years.

This will be the fourth Exercise Coach to open in Tennessee. Exercise Coach has locations in Brentwood (241 Wilson Pike Circle), Collierville and Germantown.

Outfitted with high-tech computerized machines instead of traditional equipment, The Exercise Coach offers highly personalized programs optimized for efficiency, resulting in only two 20-minute workouts per week that cant be matched in effectiveness with even seven days a week of traditional activity-based exercise. The national franchise offers a unique, comprehensive approach to fitness designed to be the perfect fit for anyone, regardless of current fitness levels. The Exercise Coach combines bio-adaptive exercise technology with the guidance and encouragement of certified coaches. The studios create a dynamic exercise experience that blends personalized strength and interval cardio training in each session.

Soles, age 53, spent 31 years in various leadership roles for insurance companies. He ventured into the health and wellness arena when he took a position at Nashville-based Healthways (now part of Sharecare). Most of his career experience has been in sales, customer satisfaction and corporate training. Soles said he chose to open an Exercise Coach franchise so that he could immerse himself in an environment that provides a phenomenal service to a virtually untapped market.

I started off by looking for a company that would provide a great service to others and a great living for me. What I also found along this journey is the value I get personally from being a customer. Im EXACTLY who The Exercise Coach is looking to help. At 53, Im certainly in the demographic but, more importantly, Im the person who has struggled with weight issues for my entire life. Ive been in traditional gym environments and had success in gaining strength and losing fat. Im also that person who had short-lived success and need something like the The Exercise Coach to make a long-term change in my quality of life. What started out as a business venture has also turned into an investment into my personal health and well-being, Soles said.

More than 120 million Americans say they know they need exercise and wish they participated more. The Exercise Coach uses its technology to capture the more reluctant exercise consumer people who are either too busy to spend a great deal of time at the gym, dislike the gym scene and/or are afraid of injuring themselves. Rather than use their proprietary technology competing with other gyms to court the most athletic people, The Exercise Coach offers privacy, convenience, personalization, efficiency and guidance to change the quality of life for people who are less familiar with fitness successes.

About The Exercise CoachFounded in 2000, The Exercise Coach began franchising in 2011 and currently has approximately 70 studios operating nationwide. In addition, The Exercise Coach began its international expansion in Japan in 2017 and has 25 locations there today. Our goal is to see 250 units open in the U.S. and 100 open in Japan by the end of 2022. Learn more here.

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"Smart Gym" That Uses Artificial Intelligence to Open in Franklin - Williamson Source

With the emergence of Artificial Intelligence (AI) and Machine Learning, technology has become an integral seat of thought, regardless of the industry. With such integration, it seems scary to see the effects of these on our social and inter-personal lives. Indeed, when it comes to managing tasks, AI is without a doubt the most useful technology.

However, the impact it has on our neuralarchitecture leads to loopholes in our lives and especially in our careers. According to hbr.org, 37% of executives say that managers lack ofunderstanding of cognitive technologies hampers AI adoption. As theseautomation technologies keep on achieving more, we need to acquire skills thatbuild our neural architecture to stop the neural hijacking from the advent ofthese technologies.

In general, there are a lot of jobs thatmachines can perform with the utmost efficiency in comparison to humans.Especially, that needs absolute accuracy like the accumulation of data, examiningthe data, illustrating the outcomes, figuring out the best-suited course ofaction, and enforcing this action. However, the seat of planning and organizingactions towards a goal still lies in the hands of humans.

To create an integration process between the automation work process and human authorization, one has to understand the synergy of big data Hadoop training. Chatbots Magazine cites, 41% of executives believe AIs most important benefit is providing data that can be used to make informed decisions. Well, this says everything even when the task is done by automation technology, the final stroke is made by humans only, i.e. decision making.

IBM Watson is solving medical cases with the help of automation, leaving doctors baffled. The investors are providing funds without any hesitation for letting the automation perform better. This means the most top paid career options are already at a major risk for humans; especially those that do not involve harmony between human emotions and thoughts. Therefore, to master the art of understanding AI for a brighter future, an aspiring data scientist ought to have a fintech degree as it provides him the added benefit of discovering this abode better.

However,human interference will be an integral part of organizations where skills likemotivation, emotional understanding, and interaction between humans are high indemand. That is the reason why pwc.comstates, 76% of CEOs are mostconcerned with AI adoptions lack of transparency and potential for bias.A piece of intellectual machinery might provide a better diagnose than a doctorand a feasible solution to it.

But, only a human can connect with you onan emotional level and understand your undetectable conditions such asfinances, quality of thoughts and emotions, connection with family and provideyou an optimal treatment solution. Another fact stated by pwc.com defines it all for us,77% of CEOs say vulnerability anddisruption to their businesses could increase with AI and automation.

ToConclude:

Persuasion,empathy, social insights, understanding human emotions are the skills that willdifferentiate humans from machines. However, when it comes to technical fields,without a doubt, Machine Learning and Artificial Intelligence will rule thoseover humans.

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Emotional Intelligence and Its Connection with Artificial Intelligence - Techiexpert.com - TechiExpert.com