Public Health


How AI Is Helping Diagnose Rare Genetic Diseases

#artificialintelligence

AI has the power to search through millions of genetic variants at high speed and identify likely ... [ ] causes of rare diseases, while also comparing what they find with the existing medical literature. This is greater than the population of the United States, yet the ominous figures don't end there. According to the Global Genes organization, eight out of ten rare diseases are caused by a faulty gene, yet it takes an average of 4.8 years to arrive at an accurate diagnosis. This is part of the reason why 30% of children with a rare disease won't live to see their fifth birthday. Neither is this situation helped by the fact that 95% of rare diseases lack an FDA-approved treatment.


How artificial intelligence is empowering healthcare -

#artificialintelligence

It is hard to think of any area of our lives that might not one day be affected by artificial intelligence, and an exponential rise in recent years has already seen it become increasingly embedded in healthcare. After an early focus on supercharging the way in which new drugs can be discovered, AI is now empowering healthcare improvements in diagnosis and patient care. Across these themes we see many exciting technological advances that are changing our conception of how healthcare is delivered as the capabilities of smartphones and sensors continue to increase and improve. By putting a compact, portable computer in our hands, smartphones have already enabled huge changes in our lives over the last decade or so. Now, as artificial intelligence comes of age, smartphones and other mobile devices are becoming cleverer still.


How AI Is Helping Diagnose Rare Genetic Diseases

#artificialintelligence

AI has the power to search through millions of genetic variants at high speed and identify likely ... [ ] causes of rare diseases, while also comparing what they find with the existing medical literature. This is greater than the population of the United States, yet the ominous figures don't end there. According to the Global Genes organization, eight out of ten rare diseases are caused by a faulty gene, yet it takes an average of 4.8 years to arrive at an accurate diagnosis. This is part of the reason why 30% of children with a rare disease won't live to see their fifth birthday. Neither is this situation helped by the fact that 95% of rare diseases lack an FDA-approved treatment.


How AI Is Helping Diagnose Rare Genetic Diseases

#artificialintelligence

AI has the power to search through millions of genetic variants at high speed and identify likely ... [ ] causes of rare diseases, while also comparing what they find with the existing medical literature. This is greater than the population of the United States, yet the ominous figures don't end there. According to the Global Genes organization, eight out of ten rare diseases are caused by a faulty gene, yet it takes an average of 4.8 years to arrive at an accurate diagnosis. This is part of the reason why 30% of children with a rare disease won't live to see their fifth birthday. Neither is this situation helped by the fact that 95% of rare diseases lack an FDA-approved treatment.


Machine learning for causal inference in Biostatistics

#artificialintelligence

General inference problems and quantifying uncertainty have long been the cornerstone of statistical science. While machine learning advances have permeated many disciplines, inference for these procedures, and in particular, causal inference, has not been widespread. However, this is rapidly changing. As different scientific fields begin to converge on machine learning for causal inference, we thought now would be an excellent time to have a public discussion. In our roles as editors of Biostatistics, we decided to organize a series of commentaries on the topic from scholars with expertise in statistics, computer science, epidemiology, health economics, policy, and law.


AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health

#artificialintelligence

Decades ago, Japan faced an unavoidable, long-term economic challenge. Even as its economy reached record highs in the late 1980s (fueled by strong auto sales, the rise of innovative companies like Nintendo, and real estate speculation), it was preparing for the coming day when more than a quarter of its population would be over age 65. Today, Japan's median age is more than 10 years older (47) than that of the US (36). To offset the economic realities of a rapidly aging workforce, Japan made the decision to become a world leader in robotics. Advanced robotics in manufacturing, healthcare, consumer electronics, and soon personal services are now deeply entrenched in the Japanese economy, a movement created out of a need to maintain productivity and GDP growth.


FDA approves Hologic artificial intelligence mammograms

#artificialintelligence

Marlborough medical device maker Hologic announced Tuesday it has received U.S. Food & Drug Administration approval for its 3DQuorum Imaging Technology to reduces image interpretation time. The company said when combined with its high-resolution imaging technology, this new technology reduces the number of images needing to be reviewed without compromising image quality or accuracy through using artificial intelligence to find the best images. The number of images to be reviewed is reduced by 66%, according to Hologic, saving an average of one hour per eight hours of image interpretation time. The technology is available for use with existing and future Hologic 3D mammography systems.


HeartVista Brings Artificial Intelligence to Cardiac MRI

#artificialintelligence

HeartVista is hoping to increase the use of CardiacMRI's. To achieve this goal, the Los Altos, CA-based company has developed the One Click Cardiac Package MRI software, which recently received FDA clearance. "It has been widely excepted in the clinical community and the scientific community that cardiac MRI is the gold standard for everything that you can almost do or diagnose in a cardiac setting," Itamar Kandel, HeartVista's CEO, told MD DI. "But the problem is that the actual scan itself is very complex; takes a lot of time, and takes a very high level of skill to even perform." He added, "You have this situation where the best technology is not approachable to the vast majority of the needs. The problem we came to solve is to bring this technology to the masses -to democratize Cardiac MRI." HeartVista's FDA-cleared Cardiac Package uses AI-assisted software to prescribe the standard cardiac views with just one click, and in as few as 10 seconds, while the patient breathes freely.


FDA Clears Subtle Medical's AI-Powered Image Enhancement Software

#artificialintelligence

Subtle Medical today announced its artificial intelligence (AI)-powered image processing software, SubtleMR, received 510(k) clearance from the U.S. Food and Drug Administration (FDA). SubtleMR uses deep learning algorithms, denoising and resolution enhancement to improve the image quality of existing scanners. "We are pleased to received FDA clearance for SubtleMR, and we look forward to helping radiology departments and imaging centers get the most out of their existing MRI scanners," said Enhao Gong, Ph.D., founder and CEO of Subtle Medical. The software, which Subtle Medical said is compatible with any brand of MRI scanner and picture archiving and communication systems (PACS), could be beneficial for patients who have trouble staying still for long periods of time. Reducing the scan time for these patients not only improves the patient experience but could result in fewer artifact-ridden images and the need for physicians to re-scan an individual.


Canon Medical's Ultra-High Resolution CT Receives FDA Clearance for Artificial Intelligence-Based Image Reconstruction Technology BioSpace

#artificialintelligence

WIRE)-- Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced Intelligent Clear-IQ Engine (AiCE) for the Aquilion PrecisionTM further expanding access to its new deep convolutional neural network (DCNN) image reconstruction technology. This technology, now available on both the Aquilion Precision and Aquilion ONE / GENESIS EditionTM premium CT systems, uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal, forging a new frontier for CT image reconstruction. Aquilion Precision - the world's first Ultra-High Resolution CT provides 2 times the resolution of conventional CT, revealing detail that is typically only seen in Cath labs. With AiCE, the system now enables clinicians to perform super-high resolution studies at doses equivalent to standard resolution CT (with traditional hybrid iterative reconstruction techniques). AiCE learns from the high image quality of Model Based Iterative Reconstruction (MBIR) to reconstruct CT images with improved high contrast spatial resolution*.