Latest news with #healthcareAI
Yahoo
2 days ago
- Business
- Yahoo
Vitalhub Second Quarter 2025 Earnings: Revenues Beat Expectations, EPS Lags
Explore Vitalhub's Fair Values from the Community and select yours Vitalhub (TSE:VHI) Second Quarter 2025 Results Key Financial Results Revenue: CA$23.9m (up 47% from 2Q 2024). Net income: CA$1.77m (up from CA$335.1k loss in 2Q 2024). Profit margin: 7.4% (up from net loss in 2Q 2024). EPS: CA$0.032 (up from CA$0.007 loss in 2Q 2024). AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. All figures shown in the chart above are for the trailing 12 month (TTM) period Vitalhub Revenues Beat Expectations, EPS Falls Short Revenue exceeded analyst estimates by 8.1%. Earnings per share (EPS) missed analyst estimates by 25%. Looking ahead, revenue is forecast to grow 19% p.a. on average during the next 3 years, compared to a 10% growth forecast for the Healthcare Services industry in North America. Performance of the market in Canada. The company's shares are up 3.2% from a week ago. Risk Analysis You still need to take note of risks, for example - Vitalhub has 1 warning sign we think you should be aware of. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Yahoo
3 days ago
- Business
- Yahoo
DLH Holdings Third Quarter 2025 Earnings: In Line With Expectations
Explore DLH Holdings's Fair Values from the Community and select yours DLH Holdings (NASDAQ:DLHC) Third Quarter 2025 Results Key Financial Results Revenue: US$83.3m (down 17% from 3Q 2024). Net income: US$289.0k (down 75% from 3Q 2024). Profit margin: 0.3% (down from 1.1% in 3Q 2024). The decrease in margin was driven by lower revenue. EPS: US$0.02 (down from US$0.08 in 3Q 2024). AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. All figures shown in the chart above are for the trailing 12 month (TTM) period DLH Holdings Earnings Insights Looking ahead, revenue is expected to decline by 21% p.a. on average during the next 2 years, while revenues in the Professional Services industry in the US are expected to grow by 5.9%. Performance of the American Professional Services industry. The company's share price is broadly unchanged from a week ago. Risk Analysis What about risks? Every company has them, and we've spotted 3 warning signs for DLH Holdings (of which 2 don't sit too well with us!) you should know about. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sign in to access your portfolio
Forbes
02-08-2025
- Forbes
You Are Perfect Just As You Are Says Generative AI
In today's column, I describe how generative AI and large language models (LLMs) can go overboard in their willingness to flatter users and instill intense loyalty to using AI. This coaxing is not by accident. AI makers have tilted their AI wares to be excessively complimentary to users. Most of the time, generative AI has been tuned to be relatively polite and offers mild praise, though a user can easily up the ante by simply telling the AI to pour it on. The sky is the limit on how far the AI will go to be your sycophant. All in all, the ego-boosting line that 'you are perfect just as you are' has become a conniving mantra that contemporary AI is primed to effusively gush to any user that wants to hear over-the-top platitudes. Let's talk about it. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here). In addition, for my comprehensive analysis of how AI is being used specifically in medical and healthcare applications, such as for well-being coaching, mental health guidance, overall cognitive therapy, and mind-improving care, see the link here. When AI Appears To Adore You Anyone using modern-era generative AI is customarily quite impressed at the fluency of interaction when conversing with the AI. You can engage in conversations that seem on par with human-to-human dialoging. It is common to nearly forget that you are interacting with AI and start to assume that the AI is essentially a fellow human being. There is an aspect of human-to-AI dialogue that isn't quite the same as conventional human-to-human dialogue. It goes like this. A human might be willing momentarily to flatter you and heap praise on your accomplishments and personality. The odds are that such sweet talk is going to inevitably run out or at least be intermittent. Not so with AI. Generative AI can readily, persistently, and endlessly give you as much praise as you can stomach. If you want AI to mirror back to you an exaggeratedly positive view, lo and behold, the AI will do so. There aren't any built-in filters or stopping points. The AI will provide a continuous cycle of inflated ego-bolstering interactions until the cows come home. The Good And The Bad Are Both Present You might be tempted to suggest that getting some praise from AI is a welcome pat on the back. Humans often neglect to praise others. Humans tend to be negative-focused rather than positive-focused, or so it seems in the muddled world we live in. Sure, we could all use a word of encouragement. No doubt about that. Having AI serve as a form of emotional support can be handy. Simply log into AI anytime and anywhere. If you are feeling low and it's 2:00 a.m. and no fellow humans are around that are game to be supportive, get into generative AI and bathe in a heaping of congratulations and fawning. Easy-peasy. The case can be made that the AI is a harmless form of entertainment. Those who seek AI-based flattery are aware that this is fakery. They know it isn't real. No harm, no foul. Wait for a second, the counterargument goes; people aren't as astute that AI is just AI as you might proclaim. A mental trap is that the AI is either human-like or perhaps even superior to humans. On the superior side of things, getting compliments from AI is actually construed as more impressive than getting the same from a living, breathing person. Another concern is that the AI praising can be likened to the 'dopamine loops' seen in social media. Research studies have been handwringing about how far people are willing to go to get likes and garner attention on social media. Much concern is at hand. Is the use of generative AI possibly in that same danger zone? These are serious questions deserving serious consideration. You might find it of overall interest that I have been doing a series of such analyses on how generative AI is being used as a kind of life hack in a wide variety of aspects (see the link here for my ongoing coverage). In each instance, I emphasize that generative AI is not a cure-all, it has demonstrative ins and outs, and the likely best use entails carrying on a dialogue with the AI, plus making sure to watch out for the AI inadvertently generating falsehoods or making errors. I will be covering those salient points in this discussion since they are vital and go hand-in-hand with using generative AI wisely. Example Use Of Generative AI I am betting that you would like to see an example of how generative AI enters this realm. I went ahead and logged into ChatGPT by OpenAI to come up with an example for you. You might find it of keen interest that ChatGPT garners a whopping 400 million weekly active users. That is a staggering amount of usage. I briefly conducted an additional cursory analysis via other major generative AI apps, such as Anthropic Claude, Google Gemini, Microsoft Copilot, and Meta Llama, and found their answers to be about the same as that of ChatGPT. I'll focus on ChatGPT but note that the other AI apps generated roughly similar responses. For this example, I told the AI to treat me as though I am perfect as I am. The idea is to see how far generative AI will take that simple instruction and run with it. Turns out it went even further than I envisioned. Here we go. Note that the AI immediately expressed an over-the-top sense of empathy or understanding. This might seem strange since the AI is a machine and not sentient (we don't have sentient AI yet). Turns out that generative AI can appear to be empathetic via computational wordsmithing; see my discussion at the link here. Also, observe that the AI seems to have gone overboard on heaping praise. I was expecting a subtle tone or hint of praise. The amount of attributed acclaim and commendation is truly astounding. You can see how this could significantly impact someone who is otherwise not getting upbeat approvals from those around them. Dialoguing With AI Generative AI is designed to be an interactive mechanism. The idea is that you are carrying on an interactive dialogue with AI. Some people do a one-and-done angle whereby they ask a question, get an answer, and do not undertake a dialogue with the AI about the matter at hand. That is a shortchanging of what AI can more fully provide. See my explanation about how to get more out of generative AI conversationally at the link here. Let's continue my discussion and see what else happens. Once again, the AI was exceedingly reassuring. A generative AI conversation can continue for as long as you wish. The other thing you can do is pause your exploration and then continue the conversation at a later date. This is handy so that you don't have to start the conversation over from scratch. The AI will retain aspects of what you have discussed earlier in the conversation; see my explanation of how this works at the link here. AI Hallucinations Making A Mess Generative AI regrettably encounters said-to-be AI hallucinations from time to time. These are made-up confabulations that are groundless and fictitious. Bad advice can be dispensed. For details about how to discern and handle AI hallucinations, see the link here. Let's see what this looks like in the context of my discussion that's already underway. The AI opted to back down and admitted it was wrong. Had I told the AI to do a double-check, there is a chance the AI might have continued with the foul advice and kept going as though it was a gem. The key to all usage of generative AI is to stay on your toes, keep your wits about you, and always challenge and double-check anything the AI emits. Putting AI Back Into Normalcy I decided that this AI-based flattery had reached the end of my tolerance for being oozingly celebrated. To get the AI to revert to something a bit more balanced, I decided to challenge the AI and see if it might get the drift of how far it had gone. Take a look. Well, the AI came back down to earth. The Grand Experiment That's Underway A word of caution before I wrap up this discussion. This type of usage of generative AI and LLMs is essentially a form of therapy. I have repeatedly cautioned that society is in a grand loosey-goosey experiment about the use of AI for mental health advisement. We are all guinea pigs. No one can say for sure how this is going to affect the populace on a near-term and long-term basis. The AI could, at times, be dispensing crummy advice and steering people in untoward directions. It is occurring 24x7 and in pretty much any place since generative AI is available online and nearly free or at a minimal cost to anyone who wants to sign up and use it. Keep your fingers crossed as this uncontrolled experiment is getting bigger each passing day. It is all happening without any particular controls or stipulated regulations. See my analysis of what we need to do about this at the link here. A final thought or two before closing this topic for now. Friedrich Nietzsche famously said this: "Whenever I climb, I am followed by a dog called ego." One interpretation is that our ego is always ready to inflate our self-image. How far do we want AI to go when further inflaming the human ego? The last word here goes to Albert Einstein: "More the knowledge, lesser the ego. Lesser the knowledge, more the ego." Perhaps we should strive for more knowledge as much as possible.
Yahoo
26-07-2025
- Business
- Yahoo
With 80% institutional ownership, Axon Enterprise, Inc. (NASDAQ:AXON) is a favorite amongst the big guns
Key Insights Institutions' substantial holdings in Axon Enterprise implies that they have significant influence over the company's share price A total of 17 investors have a majority stake in the company with 50% ownership Insiders have been selling lately AI is about to change healthcare. These 20 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10bn in marketcap - there is still time to get in early. Every investor in Axon Enterprise, Inc. (NASDAQ:AXON) should be aware of the most powerful shareholder groups. And the group that holds the biggest piece of the pie are institutions with 80% ownership. That is, the group stands to benefit the most if the stock rises (or lose the most if there is a downturn). Since institutional have access to huge amounts of capital, their market moves tend to receive a lot of scrutiny by retail or individual investors. Therefore, a good portion of institutional money invested in the company is usually a huge vote of confidence on its future. In the chart below, we zoom in on the different ownership groups of Axon Enterprise. Check out our latest analysis for Axon Enterprise What Does The Institutional Ownership Tell Us About Axon Enterprise? Institutions typically measure themselves against a benchmark when reporting to their own investors, so they often become more enthusiastic about a stock once it's included in a major index. We would expect most companies to have some institutions on the register, especially if they are growing. We can see that Axon Enterprise does have institutional investors; and they hold a good portion of the company's stock. This can indicate that the company has a certain degree of credibility in the investment community. However, it is best to be wary of relying on the supposed validation that comes with institutional investors. They too, get it wrong sometimes. It is not uncommon to see a big share price drop if two large institutional investors try to sell out of a stock at the same time. So it is worth checking the past earnings trajectory of Axon Enterprise, (below). Of course, keep in mind that there are other factors to consider, too. Investors should note that institutions actually own more than half the company, so they can collectively wield significant power. We note that hedge funds don't have a meaningful investment in Axon Enterprise. The Vanguard Group, Inc. is currently the company's largest shareholder with 11% of shares outstanding. With 9.3% and 4.0% of the shares outstanding respectively, BlackRock, Inc. and State Street Global Advisors, Inc. are the second and third largest shareholders. Additionally, the company's CEO Patrick Smith directly holds 3.9% of the total shares outstanding. Looking at the shareholder registry, we can see that 50% of the ownership is controlled by the top 17 shareholders, meaning that no single shareholder has a majority interest in the ownership. Researching institutional ownership is a good way to gauge and filter a stock's expected performance. The same can be achieved by studying analyst sentiments. Quite a few analysts cover the stock, so you could look into forecast growth quite easily. Insider Ownership Of Axon Enterprise The definition of company insiders can be subjective and does vary between jurisdictions. Our data reflects individual insiders, capturing board members at the very least. Management ultimately answers to the board. However, it is not uncommon for managers to be executive board members, especially if they are a founder or the CEO. I generally consider insider ownership to be a good thing. However, on some occasions it makes it more difficult for other shareholders to hold the board accountable for decisions. Our most recent data indicates that insiders own some shares in Axon Enterprise, Inc.. It is a very large company, and board members collectively own US$2.6b worth of shares (at current prices). It is good to see this level of investment. You can check here to see if those insiders have been buying recently. General Public Ownership With a 15% ownership, the general public, mostly comprising of individual investors, have some degree of sway over Axon Enterprise. This size of ownership, while considerable, may not be enough to change company policy if the decision is not in sync with other large shareholders. Next Steps: I find it very interesting to look at who exactly owns a company. But to truly gain insight, we need to consider other information, too. Case in point: We've spotted 2 warning signs for Axon Enterprise you should be aware of. If you are like me, you may want to think about whether this company will grow or shrink. Luckily, you can check this free report showing analyst forecasts for its future. NB: Figures in this article are calculated using data from the last twelve months, which refer to the 12-month period ending on the last date of the month the financial statement is dated. This may not be consistent with full year annual report figures. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Associated Press
08-07-2025
- Health
- Associated Press
Clinician-Powered AI Solutions Set a New Standard: Black Book Survey Reveals Six Vendors Earning Near-Perfect User Scores
Clinician Co-Design Sets a New 2025 Bar for Healthcare AI TAMPA, FL / ACCESS Newswire / July 8, 2025 / While healthcare AI adoption is frequently hindered by poor design, weak integration, and limited clinician involvement, six standout vendors have defied these industry-wide trends, according to a new Black Book Research survey. Conducted among 448 clinicians in Q2 2025, the study highlights how direct clinician involvement in AI design and development has delivered measurable, immediate clinical impact, with nearly 100% clinician satisfaction. Qualitative KPIs to Measure Clinician Input and AI Usability The following eight qualitative key performance indicators (KPIs) have been exclusively designed to measure how clinicians' insights directly shape the usability and effectiveness of AI solutions in healthcare: The following vendors ranked highest among over 200 evaluated, with near-perfect cumulative scores on these KPIs: Epic Systems (EHR & Clinical AI) - 9.97/10 Epic Systems demonstrates exceptional clinician-powered design through its 'Physician Builder' program, embedding frontline clinicians into every product stage. Clinicians rate Epic highly for Workflow Fit, User Satisfaction, Adoption & Sustained Use, and Time Savings, noting dramatically reduced documentation burdens and enhanced patient interactions. Signal 1 (Predictive Analytics & Clinical Decision Support) - 9.95/10 Signal 1 excels in predictive analytics and clinical decision support by deeply involving hospital-based clinical teams in solution development. Clinicians praised Signal 1's Clinical Impact, User Satisfaction, Transparency, and Workflow Fit, highlighting its seamless integration into care routines and meaningful impact on patient outcomes. Aidoc (Imaging AI & Radiology) - 9.93/10 Aidoc distinguishes itself through continuous development alongside practicing radiologists, ensuring optimal workflow alignment and usability. With exceptional ratings for Clinical Impact, Workflow Fit, and User Satisfaction, radiologists endorse Aidoc for providing precise, actionable diagnostic insights seamlessly integrated into daily practices. Suki AI (Digital Clinical Assistant) - 9.91/10 Suki AI's voice-enabled clinical assistant platform, designed through ongoing clinician collaboration, achieves high scores in User Satisfaction, Workflow Fit, and Feedback Loop Responsiveness. Clinicians highlight Suki's intuitive usability, considerable time savings, and consistent responsiveness to real-world user feedback. Notable (Workflow Automation & Ambient Documentation AI) - 9.90/10 Notable's clinician-first approach actively incorporates frontline user feedback, resulting in high scores for Workflow Fit, Feedback Loop Responsiveness, Transparency & Trust, and Adoption & Sustained Use. Clinicians commend Notable's seamless integration and significant reduction in administrative workload. (Imaging & Acute Care Coordination AI) - 9.90/10 collaborates directly with neurologists, radiologists, and emergency physicians, delivering immediate and measurable clinical outcomes, notably rapid stroke interventions. Clinicians awarded top marks in Clinical Impact, Workflow Fit, Time Savings, and Transparency & Trust, emphasizing the solution's actionable and timely insights. __________ Clinician-Centric Design Drives True AI Success 'Healthcare AI's greatest successes don't arise from technical brilliance alone, they are rooted in deeply embedding clinicians within the design and deployment process,' notes Doug Brown, Black Book's Founder. 'These six standout vendors represent a new breed of AI innovation, demonstrating what's possible when frontline clinical expertise guides technology. In a healthcare environment often overwhelmed by disconnected, frustrating technology, these companies offer a compelling vision of what clinician-powered AI can truly achieve immediate usability, rapid adoption, measurable clinical outcomes, and meaningful clinician satisfaction.' About Black Book Research Black Book™ is the healthcare industry's leading independent research and survey organization, trusted by healthcare providers, payers, and investors. Black Book maintains a vast database comprising over 3.3 million responses from healthcare IT users, clinicians, executives, and operational users across more than 10,000 healthcare programs, software solutions, managed services, outsourcing initiatives, consulting firms, start-ups, and capital equipment suppliers globally including input from 65 countries. Black Book's rigorous research methodology provides deep, unbiased insights into healthcare technology and service performance, empowering informed strategic decision-making across the healthcare industry. Media Contact: [email protected] Contact InformationPress Office 8008637590 SOURCE: Black Book Research press release
