Towards a Non-invasive and Personalized Care
The value of AI has been accelerating the healthcare space at an increasing rate. In fact, AI-powered medical diagnostics is today driving the critical changes across the care continuum. However, AI technologies are not believed to replace doctors despite its transformative power. “We view AI only as a new medical device that allows doctors to ‘better see’ each case,” says Gabriela Fuentes, COO, Transmural Biotech or TMB. “For instance, doctors with different degrees of training reach different conclusions on a clinical diagnosis. Instead, if they have access to data-driven AI image processing technology to support their decision, objective results can be attained regardless of their training.” Upholding the same principle, TMB develops innovative clinical solutions and services using disruptive technologies based on AI. The company is formed by a group of experienced AI scientists and business developers with strong support from reputable clinical advisors who delivers image diagnosis and processing that helps clinicians to improve healthcare in a reliable, fast, and easy-to-use way, maintaining a worldwide and 24/7 service.
“We offer direct clinical prediction from ultrasound images by texture analysis and have the necessary robustness to ensure reliability in clinical environments,” notes Fuentes. Their flagship product, quantusFLM predicts Fetal Lung Maturity (FLM) from a fetal lung ultrasound and is available via an easy-to-use web application. Through quantusFLM’s novel image processing, AI technology gives a personalized result within a few minutes, helping doctors establish if the fetal lungs are ready to breath out of the womb. In many clinical situations, the decision of whether to deliver or wait is in a “grey zone”, particularly in late preterm to early-term pregnancies. For instance, cases like difficulty-to-control hypertension or diabetes, moderate preeclampsia, maternal fluid retention with edema, etc. For these circumstances, delivery may be a reasonable, but not an absolute, option to avoid danger to mother or fetus. This is where quantusFLM provides a safer and personalized fetal medicine healthcare by identifying the risk of neonatal respiratory morbidity in a non-invasive manner and generating critical information in the decision-making process, either to confirm or otherwise delay delivery. “We estimate that this technology has the potential to be used in 5–10 percent of all pregnancies, and contributes to reduce the number of Neonatal Respiratory Morbidity cases in a 20–30 percent.”
Following the same path, TMB developed quantusPREMATURITY, another easy-to-use web application that predicts the risk of spontaneous preterm birth just by analyzing a cervical ultrasound image. The early detection of premature births is very important considering that more than 15 million babies (1 in 10 babies) are born preterm every year, according to the World Health Organization, and out of those, almost 1 million children die each year due to complications arising from prematurity. The solution is the first test for an early detection of the cervical remodeling based on AI and texture analysis that obtains robust and replicable results regarding the risk of spontaneous premature labor before the neck is shortened. It has been developed to be used as a universal screening tool during the second trimester of pregnancy.
“Our technology not only involves a change of functioning in the image diagnose process but also involves a change of paradigm for the current clinical practice introducing the concept of digital lab. These changes are not always easy to accept or implement,” notes Fuentes. However, TMB has learned to work with different regulations for different territories and to allocate additional resources if needed for technology implementation.
Also, through a Sotware-as-a-Service (SaaS) business model, the company lowers the cost of its products and reach patients anywhere in the world. Going forward, TMB wants to start a cost-efficiency study for quantusFLM, consolidate its expanded markets, start FDA process and improve brand positioning. Additionally, “we plan to build a personalized e-commerce to ease billing.” Alongside, they want to launch their product, quantus PREMATURITY, the tool to early detect cervical remodeling in order to predict spontaneous premature births, and they need to replicate all of quantusFLM’s infrastructure to commercialize it worldwide. “Moreover, we will to continue to validate the technology through a multicenter study and see its clinical use in hospitals around the world,” ends Fuentes.
Top 50 Healthcare Technology CEOs Of 2020
AI to help kids struggling with ADHD, PDD-NOS and other ASD’s
By Stephane Bourles, CIO at Brain Balance
AI to help kids struggling with ADHD, Autism, Asperger Syndrome , PDD-NOS and other ASD’s
Left Brain or Right Brain?
In a properly functioning brain, both hemispheres communicate equally and at lightning speed, millions of times per minute. In a poorly functioning brain, the left and right sides of the brain only impart partial information, causing frequent miscommunication. This is called Functional Disconnection and is the root of many types of learning, behavioral and social problems found in children. The Brain Balance program puts the left and right brains back in sync using sensory motor exercises, academic skill building, and nutrition guidelines.
How does the Assessment Work?
The assessment consists of sensory, motor, and academic testing of more than 900 functions. The outcome of this assessment is a highly customized report providing parents with a complete understanding of their child’s behavioral, social, and academic skill levels.
We use AI to determine which brain hemisphere we believe to be stronger or weaker. The Machine Learning algorithm used for the assessment is not always accurate, which we know based on the feedback from our staff—yes we let them disagree with the system, which is intended as a tool to help them support their own assessment, but not to necessarily force them into a decision they don’t agree with.
But as valuable as an individual observation based on years of experience is, it still remains just the view of one individual. That is why we look at Artificial Intelligence as a new solution combining neural network architectures with massive computing power to enable our solution to learn a pattern from large datasets and make statistical predictions based on test results and feedback we already have for tens of thousands of students.
What is next?
Thanks to many product releases with different Machine Learning models we tested, we were able to improve our assessment accuracy and achieve precision, recall and F1 scores over 0.95. The limitation of this AI model is it is not 100% accurate and you don’t know for sure the source of truth. Since AI is a “black box” which can’t explain its prediction for most models, you have to trust your staff first.
Similar to clinical decision support systems helping healthcare practitioners, we believe this fast growing dataset about children, combined with new Artificial Intelligence models such as Explainable AI, will help our staff improve a child’s initial assessment, which will then improve our overall program’s results.
The importance of information to empower health-app users
By Liz Ashall-Payne, CEO, ORCHA
Shining a light between the rock and the hard place: The importance of information to empower health-app users
Apps, and their use for the promotion of health and wellbeing, are the subject of increasing interest and enquiry; particularly in light of the NHS’ Long Term Plan, and ever-increasing pressures on scarce NHS resources. But finding and downloading effective, engaging, and most importantly, safe health-apps, is a significant challenge. While many have suggested that health-apps could be a ‘silver-bullet’, aimed at quashing the woes that stem from decreasing funding and increasing demand for incumbent NHS services, it is important to tread with caution.
Unlike pharmaceuticals, over the counter remedies, talking therapies, physiotherapy or surgery, health-apps can not only be sought, but readily obtained in absence of gatekeeping and safeguarding. The result is that you or I can download upwards of 200,000 health-apps today, with as little as a click of a button on the app-store. While this can be argued as the unique value-proposition of app-based health technologies, a lack of guarantees regarding the quality and content of such apps, means that this open-access feature of apps also represents the chief concern; and is likely limiting the enthusiasm with which healthcare professionals engage and promote their use.
The number of apps labelled as ‘pranks’ or for ‘illustration purposes only’ has been subject to year-on-year growth. But for those looking for convenient, easily accessible, and often cost-free support; or for those who are either vulnerable or impressionable; such technologies can pose significant health risks, beyond those that are apparent and conveyed (if at all) in the short description within the app store. An app that misleadingly claims to monitor blood pressure or blood sugar for example, may result in either (1) misleading information, (2) modifications to disease management not representative of true disease status (including the use of insulin or warfarin), or (3) serious adverse events including hypoglycaemia or stroke. One such app for monitoring blood pressure has been downloaded upwards of 1,000,000 times on the Android Google Play app store, while boasting a review rating of 4.3/5.
This raises questions regarding the utility of both the subjective user review score (which is inherently limited in only capturing both very positive or very negative views) and the number of prior downloads of an app, as potential surrogates for app quality. Recent research into apps targeted at chronic insomnia disorder conducted by the Organisation for the Review of Care and Health Applications (ORCHA) confirmed this. In this analysis, which is now available in the journal BMJ: Evidence-Based Mental Health, it was demonstrated that both user review scores, and the number of prior downloads of a health-app, were not only unreliable as proxies for quality, but in fact were inversely related; and as these metrics increased, the objectively measured quality of apps decreased (as assessed by presence of clinical evidence, data privacy policies etc.) This has left a considerable void regarding where reliable indicators of the safety and quality of app-based health technologies can be found, something which at least in part, has been tackled by the National Health Service (NHS).
Courtesy of the NHS’s digital assessment questionnaire (DAQ), and the NHS apps library (beta version), the number of ‘accredited’ and NHS-approved health-apps is increasing, albeit at a leisurely pace, with approximately 50 apps accredited so far. While a step in the right direction, the rigour with which such reviews are conducted comes at the expense of speed, and an estimated review time of 6-8 weeks, limits the possibility of such initiatives being conducted at scale. As such, the difference between the total number of health-apps available (~300,000), and those which have been quality-tested and approved by regulators or accreditation bodies (~50); is if anything, increasing; leaving little or no information regarding the validity, efficacy, and most importantly the safety, of 99.99% of health-apps available today; which to date have been downloaded by potential users upwards of 50million times.
This is where the Organisation for the Review of Care and Health Applications (ORCHA) aim to transform the process of health-app research and information provision. Positioned as an open-access, free of charge and publicly facing repository regarding the user experience, clinical efficacy, and data privacy of thousands of health-apps, ORCHA’s aim is simple; to empower and inform potential users of health-apps regarding potential risks and benefits, prior to committing to use. Through a structured, objective and peer-reviewed assessment, consisting of 160 question areas, answered on a ‘yes’ or ‘no’ basis, ORCHA provides information to the 99% of users of health-apps, which are yet to be formally assessed by health technology assessment bodies, and in doing so, ORCHA removes the information asymmetry that is currently clouding the health-app market in, distrust, disbelief, and uncertainty. Publishing a new review of a health-app every 30minutes on average, ORCHA pull in information for all 300,000+ apps available on both iOS and Android Google Play, organise these into medically approved sub-categories (including diabetes, mental health and diet and exercise), and then order these apps from the most to the least downloaded.
Barbara Howard, MD to Receive the 2019 C. Anderson Aldrich Award
By Karen Gauthier Sales & Marketing Coordinator, Total Child Health
August 20, 2019
The American Academy of Pediatrics (AAP) Section on Developmental and Behavioral Pediatrics announced that Barbara Howard, MD will receive the 2019 C. Anderson Aldrich Award.
The C. Anderson Aldrich Award is bestowed by the Section on Developmental and Behavioral Pediatrics of the American Academy of Pediatrics to honor professionals who have made outstanding contributions to the field of child development. Its earlier recipients include some of the world’s most famous pediatricians, such as Benjamin Spock and T. Berry Brazelton; child psychiatrists, such as Anna Freud, and Sir Michael Llewellyn Rutter and child psychologists, such as Erik Erickson.
Howard is a Developmental-Behavioral Pediatrician who trained with Dr. T. Berry Brazelton at Harvard University. Dr. Howard is probably the most popular and beloved teacher and recognized care innovator of developmental and behavioral aspects of pediatrics in the United States. She has been a frequently invited national speaker over the past several decades and at one point was noted by the AAP as the highest-rated speaker of any specialty in pediatrics.
Pediatricians also have had access to her wisdom about practical approaches to developmental and behavioral aspects of pediatrics through a regular column in the free Pediatric News over the past two decades. Many pediatricians have attended the free monthly case conferences through a federal grant she has had continuously for thirty years, first in person and in recent years as a national webcast. Pediatric residents at Hopkins, Duke, Sinai, and U Mass have benefited and she also co-directed a fellowship program to train developmental and behavioral pediatricians as a faculty member at Johns Hopkins, where she continues a faculty role.
In recent years, Barbara has used an innovative online “clinical process support system”, called CHADIS to provide “moment of care” education to pediatricians specifically related to their own patients via pre-visit questionnaires, reaching 3,000 pediatricians for over 2 million of their patients.
Dr. Howard was past President of the Society for Developmental and Behavioral Pediatrics. She was a contributing author for Bright Futures™, Diagnostic and Statistical Manual for Primary Care (DSM-PC) and Bright Futures in Practice: Mental Health and has served on national committees of the American Academy of Pediatrics. Dr. Howard has also made contributions by leading thirteen NIH and CDC funded research programs in areas such as autism, ADHD, asthma, infant mental health and current grants for Social Determinants of Health, teen depression and substance use prevention. These research programs have made contributions to the literature and also evidence to support modules in CHADIS that continue to teach and guide pediatricians family medicine doctors and now branching out to mental health providers and adult medicine.
Howard will receive the award during the 2019 AAP National Conference & Exhibition in New Orleans, LA on Saturday, October 26, 2019.
The mission of Total Child Health, Inc. is to provide products and services that improve mental and physical health. In particular, the company focuses on the development and distribution of CHADIS (CHADIS.com).