Tag: Intelligence

Advanced Health Intelligence Ltd Selected as Finalist for Singapore Ministry of Health Project


  • AHI’s final presentation is on September 29 on stage in Singapore, where three winners will be granted a validation project for up to SGD $400,000 with a Ministry of Health (MOH) cluster.

South Perth, Australia–(Newsfile Corp. – September 13, 2023) – Advanced Health Intelligence Ltd (ASX: AHI) (NASDAQ: AHI) (“Advanced Health Intelligence” or “AHI”) is proud to announce its selection from 163 registrations from 28 countries as a finalist in the prestigious 2023 InnoMatch program. Singapore’s Healthcare InnoMatch is a platform that seeks to accelerate the adoption of near-market or market-ready healthcare innovations that are fit for mainstream use to bridge the last mile from innovation to adoption at speed at scale. The event is scheduled for September 29, 2023.

This esteemed program is supported by key healthcare organisations in Singapore, including the Singapore National Healthcare Group (NHG), the Singapore National University Health Systems (NUHS), and SingHealth. Singapore’s Ministry of Health established its ‘Healthier SG’ initiative, a long-term, multi-year effort involving substantial financial commitment. The initial setup costs for the program are estimated at S$1 billion over the next three to four years, with an additional annual budget of S$400 million for recurrent costs.

A total of 163 participants from 28 different countries registered for Healthcare InnoMatch in 2023. Following a thorough evaluation process by Cluster Innovation Teams, Synapxe, and Temasek Foundation, 7 of the applicants have been selected as finalists and AHI are proud to announce that AHI is one of the seven selected finalists in this prestigious program. The Finale is scheduled for September 29, 2023, the event will allow AHI to present its ground-breaking biometric health assessment (BHA) solution live on stage, showcasing how it effectively addresses the pressing challenges that Singapore faces across its aging population. Three finalists will be granted a contract with a

Artificial intelligence could aid treatment of mental health issues

‘Knowing ahead of time that a patient may be at risk of harm can help us develop intervention strategies … and adjustments to their care plan,’ says Waypoint official




It’s crucial to keep patients safe when they receive care. This is especially important for mental health conditions, where early intervention can make a big difference. In recent years, the application of artificial intelligence (AI) in healthcare has shown great promise, and one area where it holds significant potential is the development of an early warning score (EWS) system for mental health patients.

“Early warning scores help care teams identify early signs of a patient’s health getting worse so they can take action early,” said Dr. Andrea Waddell, Medical Director Quality Standards and Clinical Informatics.

“Knowing ahead of time that a patient may be at risk of harm can help us develop intervention strategies such as increased nursing attention and adjustments to their care plan.”

Data from the Canadian Institute for Health Information in 2021-22 shows that 1 in 17 hospital stays had unintended harm, and almost half of them could have been avoided.

Waypoint’s Dr. Waddell is also the regional clinical co-lead for mental health and addictions at Ontario Health’s Mental Health and Addictions Centre of Excellence. She and her team of researchers are seeking to change this statistic creating an EWS to prevent harm before it happens.

Artificial intelligence has revolutionized various sectors and mental health care is no exception. It can look at a lot of data, find patterns and give helpful information. When used in mental health care, AI can help detect problems early, make personalized treatment plans, and reduce the burden on healthcare providers.

While early warning scores are commonly used in acute medical settings, they haven’t been

A New Balance Between Health Care Privacy and Artificial Intelligence

A scholar highlights problematic ways that artificial intelligence and health privacy interact.

As artificial intelligence (AI) continues to revolutionize health care, the need to protect personal health data has become increasingly crucial. But intervening attempts to protect personal health data may also slow health care AI development.

Society can establish a new balance between technological progress and data protection to protect personal health data without disrupting innovation. In a recent article, law professor W. Nicholson Price II explores the complex relationship between increased privacy protections and health care AI, offering a unique perspective on achieving a balance that may allow for both AI innovation and personal privacy.

AI-created privacy problems are rapidly evolving. Price discusses a new AI-created privacy issue: AI’s ability to find patterns in seemingly disconnected data may unintentionally reveal information never meant to be revealed. Price illustrates this problem through a real-world example of a large corporation whose AI analyzed shopping habits to infer pregnancy status—an observation unlikely to be made by human analysts.

Price also demonstrates how AI weakens mechanisms, such as deidentification, used to protect medical data to establish AI’s impact on medical privacy. Deidentification, Price points out, is a commonly used method of protecting medical privacy by removing identifiers from private information. The governing legal rule for health data privacy, the Health Insurance Portability and Accountability Act (HIPAA), only oversees identifiable health information and carves out a safe harbor for deidentified information.

By stripping the listed identifiers, users of health data can avoid HIPAA oversight. And AI is capable of doing just that. With enough computing power, AI can reidentify anonymous data. It can also make sophisticated guesses about a person’s non-health data.

AI has reduced the effectiveness of this deidentification, argues Price. He notes that researchers have used AI to

Cybersecurity, privacy and artificial intelligence in health | Waterloo News

Canada’s adoption of the latest information technology in the healthcare system is a hot button issue, and the stakes couldn’t be higher 

That was the consensus of experts at a recent Waterloo conference held in Ottawa called “Cybersecurity, Privacy, and Artificial Intelligence in Health Data: Advancements and Challenges Conference.” 

The good news is, with the right information technology, the Canadian health-care system has the potential to optimize most aspects of medical care to ensure patients get the right care at the right time.  

One of the main challenges is that advances in technologies like AI are moving so fast that administrators and front-line workers may not fully trust in them such that they can enable their full use across the healthcare sector.  

“Our health data is something we rightfully want to keep safe and secure. It’s deeply personal information,” says Dr. Vivek Goel, President and Vice-Chancellor at the University of Waterloo, and an expert in governance, health data and policy. “The challenge is ensuring that we appropriately steward data to improve outcomes for patients and communities, health system management, population and public health, and research and innovation while ensuring that we keep this information safe and secure.” 

Vivek goel speaking to an older man in a suit
Goel, who chaired The Expert Advisory Group for the Pan-Canadian Health Data Strategy, played a leading role in setting the national agenda for the healthcare sector’s use of data.  

The problem is, Goel continued, “our systems, processes and policies are geared towards an analog world, while we live in a digital age. In Canada, the collection, organization and management of health data is not consistent. The primary obstacle we encounter is not technological but cultural in nature. Our fragmented approach and deep-seated distrust are what’s slowing down what we already know we

Can synthetic intelligence shut the health-treatment hole for women of all ages?

For many years, females have been vastly below-represented in professional medical research and trials. That’s starting off to change — Wellbeing Canada’s mandate that women of all ages be integrated in medical trials in 1997 was a valuable start off — but quite a few of the protocols for diagnosing and treating individuals are dependent on what functions for adult men. That means women of all ages are having drugs that have been dosed for the normal male physique body weight and are enduring unanticipated side consequences because of biological distinctions. In actuality, females are 50 to 75 for every cent extra probable to practical experience an adverse reaction to medication than adult men are.

Their signs are also less probable to be taken significantly. For instance, whilst heart disorder is the leading cause of premature dying in females in Canada, early coronary heart assault signals had been skipped by medical practitioners in 78 for every cent of girls, in accordance to the Coronary heart and Stroke Basis. And issues going through women especially obtain much fewer focus than these influencing only adult men — 5 occasions far more dollars goes to erectile dysfunction analysis than scientific studies on premenstrual syndrome.

In current a long time, scientists have been hunting to artificial intelligence (AI) to enhance overall health care. Experiments with the technology have proven guarantee in smoothing patient flows, assisting to diagnose pores and skin problems, lowering human several hours used on administrative details, prioritizing client requirements and facilitating drug discoveries, between other things.

So could AI enable shut the know-how hole and strengthen wellbeing care for gals and other underneath investigated groups? It’s an thrilling prospect and completely conceivable, suggests Ashley Casovan, the executive director of the Liable AI Institute in Ottawa. The non-gain firm is working

Exploring How Synthetic Intelligence Is Reworking The Market place

Saul Maslavi is CEO of Jovani Fashions, the well-known designer of prom attire, with thousands of wholesale associates across the region.

With the increase of synthetic intelligence (AI), the long run of fashion tech is on the lookout brighter than at any time. From automatic buying activities to voice-activated fittings, AI is revolutionizing how we store and interact with vogue. I want to explore how AI is reworking markets, assisting style entrepreneurs get nearer to their customers by providing bigger personalization and comfort, learn what’s in retail outlet for the foreseeable future of trend tech, as effectively as provide some tips on leveraging AI in your enterprise operations.

AI is enabling fashion tech to move past the traditional buying encounter. AI-enabled chatbots offer prospects the chance to store in the convenience of their own households by supplying customized suggestions, interactive merchandise shows and styling suggestions. AI also offers insights into shopper conduct, empowering trend business owners to develop more pertinent and much better-targeted internet marketing campaigns.

I want to focus on the part of digital try-on apps in increasing on the net searching and serving to purchasers to try on garments just about without leaving their houses. Digital try-on apps can use AI and personal computer eyesight technology to give consumers an correct 3D illustration of their bodies. This can give customers a superior sense of how dresses healthy them, reducing the risk of acquiring merchandise that don’t match or are unsatisfactory.

Employing a virtual attempt-on app may well simplify the searching procedure and let individuals with various entire body kinds or dimensions to just about consider on apparel with no distorting the impression. It could also let them see how an report of clothing appears with their personal equipment or shoes.

When designers and models start new

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