Samir Khan PhD’s Post

🚀Exciting News from Dyania Health! We’re thrilled to share that Dyania Health has secured $10 million in Series A funding to advance their groundbreaking artificial intelligence (AI) technology, Synapsis AI, which automates patient chart reviews. This innovative platform is set to revolutionize how healthcare providers manage electronic medical records (EMRs) and enhance clinical research efficiency. The funding round was led by HealthX Ventures with Tech Square Ventures and Cleveland Clinic Innovations also backing the round, along with significant participation from existing investors. 💡What’s the impact?  While a human typically spends 30 minutes on chart review, Synapsis AI accomplishes this in under 5 seconds with over 94% accuracy! This leap in efficiency not only reduces manual workloads but also accelerates patient access to clinical trials, ensuring timely care. “Artificial intelligence has the potential to enhance patient care and increase the speed of medical research. Our efforts with Dyania Health combine deep computational and medical expertise,” said Rohit Chandra, PhD, Cleveland Clinic Chief Digital Officer. 👩⚕️ Founded in 2020, Dyania Health is a female-led tech company that combines deep medical expertise with advanced AI capabilities. The recent funding will allow them to expand their engineering team and forge new partnerships to improve clinical outcomes. As the healthcare landscape continues to evolve, innovations like Synapsis AI exemplify how technology can enhance patient care and streamline medical research. 🔗 Read more about this exciting development in healthcare innovation: https://hubs.li/Q02W06BV0 #HealthcareInnovation #ArtificialIntelligence #DyaniaHealth #ClinicalResearch #MedTech #AI #HealthTech #InvestInHealth

💡 Exciting developments from The Ohio State University in the field of healthcare and AI! Startups licensing and commercializing technology, like this AI model that can accurately predict treatment outcomes, pitch to the Ohio State Early Investor Network. 🤝 Join us for a chance to invest in cutting edge startups and technologies. This breakthrough has the potential to revolutionize personalized medicine by offering more precise predictions on how different patients will respond to treatments. The ability to leverage AI with large-scale data allows medical professionals to make more informed decisions, ultimately leading to improved patient outcomes and more efficient healthcare. This is a significant step forward in integrating technology with healthcare, and I'm eager to see how this will transform patient care. This is just the beginning of how AI can make a real difference in our health systems. #AI #Healthcare #Innovation #AngelInvesting #Research #VentureCapital

🌟 Excited to share some thought-provoking insights on the future of healthcare! Check out this fascinating article by Mitesh Patel: "Can AI Match a Doctor's Clinical Reasoning". Check it here: https://lnkd.in/d2qRsQQj 🔍 Here are some the critical thinking findings: 1. AI Complementing Clinical Reasoning: AI can enhance and complement the clinical reasoning of doctors by providing data-driven insights and recommendations. 2. Improved Diagnostic Accuracy: AI algorithms can analyze vast amounts of medical data to assist doctors in making more accurate diagnoses, potentially reducing errors and improving patient outcomes. 3. Personalized Treatment Plans: By analyzing patient data, AI can help doctors develop personalized treatment plans tailored to individual patients' needs, leading to more effective treatments. 🧠 Nonetheless, Patel delves into the evolving landscape where AI intersects with clinical reasoning. As AI continues to advance, the question arises: can it match the intricate decision-making abilities of physicians and if so what will be its role (complementary or of replacement)? 🔍 At BioGHP - Global Health Platform, we believe in leveraging AI as a complementary tool for physicians, not a replacement. Founded on the principle of enhancing healthcare through technology, we're dedicated to providing solutions that empower healthcare professionals. 🦾By harnessing the power of data and artificial intelligence, we enable physicians to make more accurate and streamlined decisions (diagnosis and tailored treatments) by presenting them the utmost complete portfolio of data on their patient, therefore and improve patient outcomes. 🚀 Through BioWallet and BioWallet Pro developed by BioGHP - Global Health Platform, both physicians and patients can augment their clinical reasoning with data-driven insights, ultimately enhancing the quality of care they deliver. It's about combining the best of human expertise with the capabilities of AI.   #BioGHP #ClinicalReasoning #ArtificialIntelligence #BioWallet

🌟 I share this article https://lnkd.in/drAPjebB by Kai Nicol-Schwarz for Sifted, as a call to action to address the systemic challenges and push for a more integrated approach to AI in healthcare. The point is on whether the NHS (and I add Spanish and EU Systems) is prepared to harness the potential of AI to transform healthcare. The article outlines the pressing needs of the healthcare sector, burdened by workforce shortages and the rising costs of treating an expanding and ageing population, suggesting AI could be a pivotal solution. Despite significant investment efforts, widespread deployment of AI in the NHS seems a long way off, primarily due to the rigorous process required for clinical validation to ensure safety and efficacy. However, their journey also emphasizes the challenges of navigating the NHS's complex structure for technology adoption. This same approach could be applied to the Spanish healthcare system. The article also touches on the broader implications for startups that, faced with slow adoption rates, may seek markets such as the U.S., where commercialization pathways are more accommodating. What steps are necessary to ensure that the current Healthcare System can capitalize on AI advancements to meet current healthcare demands and adapt to future challenges? This scenario underlines the need for streamlined processes and clearer pathways for technology adoption. #AI #HealthcareInnovation #NHS #EUHealthcare #DigitalTransformation

Sorcero named the #1 Small and Mighty company on Fast Company's prestigious World's Most Innovative Companies of 2024 list! 🏆 This accolade underscores our pioneering work in developing an AI-powered analytics platform that illuminates actionable insights from complex medical data. By unifying disparate data sources, our transformative biomedical AI technology empowers organizations to extract relevant evidence, accelerate data-driven decision-making, and optimize patient outcomes. We are deeply honored by this prestigious recognition from Fast Company as we relentlessly pursue our mission of democratizing access to critical research and facilitating breakthrough treatments to save lives worldwide. This achievement is a testament to the tireless efforts of our incredible team, as well as the invaluable support of our partners and investors. Sorcero remains steadfastly committed to redefining industry standards and elevating patient care globally through the power of AI. We are humbled by this recognition and energized to continue pushing the boundaries of what's possible in the life sciences. Read the full press release here: https://hubs.li/Q02sKDf00 #FCMostInnovative #Innovation #AI #ArtificialIntelligence #LifeSciences #Technology #Knowledge #Inspiration #FastCompany #Awards #TechStartup #MakingKnowledgeAccessible #Achievement #CompanyMission #GratefulTeam

Glad to see AdventHealth in this top 25 list, an intriguing study from CB Insights creating an AI Readiness Index. While there are objective methods used to estimate both #Innovation and #Execution, these may not reflect the recent efforts of systems like AdventHealth to accelerate AI transformation: 🩺 Clearly defined use cases to improve the workflow of clinicians, leading to less burnout and better patient experience, such as adoption of Nuance Communications for smarter approaches to documentation. 🩻 Seamless integration into diagnostic and EHR platforms; our single instance of Epic is a major accelerant. 👨💻 Investment in data scientist, AI engineer, and process engineer talent to accelerate change significant technical talent from UCF College of Engineering & Computer Science. ⚖️ Governance and risk frameworks to create trust, enabling speed and scale in adopting AI tools for well-defined use cases; and for the counsel of advisors like David Rhew, M.D. along the way. 🤝 Deepening partnerships with tech or other enablers of AI adoption such as AdventHealth’s continued work with Microsoft, Coalition for Health AI (CHAI), Siemens Healthineers, Premier Inc., Vizient, Inc, Trilliant Health, and others. #ai #aireadiness #leadership #healthcare #hospitals #digitaltransformation #processengineering #datascience #machinelearning #transformation #changemanagement AdventHealth Central Florida AdventHealth Colorado AdventHealth West Florida UChicago Medicine AdventHealth #responsibleai

As an individual keen on understanding the future of healthcare, I recently attended an enlightening webinar on "If AI will make the treatment decisions in the future, what does this mean for clinical trial design now?". The discussions were incredibly thought-provoking and provided a glimpse into the transformative potential of AI in medical research and patient care. The webinar by Branding Science Group explored crucial topics such as: - The potential impact of AI on treatment decision-making - Innovations in clinical trial design to accommodate AI advancements - Implications for patient care and safety The panel featured esteemed experts Agathe Acchiardo, Eydith Comenencia Ortiz, and Chris Recaldin, moderated by Lucy Ireland, who provided invaluable insights into these pressing questions. Their expertise highlighted how AI can optimize clinical trial efficiency, enhance patient outcomes, and pave the way for personalized medicine. Personally, I found myself contemplating: 1. How AI can predict and prevent adverse events during clinical trials, ultimately improving patient safety -      This capability could revolutionize patient safety and enhance the efficiency of clinical trials. It’s exciting to think about how AI can analyse vast datasets to identify risks and implement preventative measures. 2. The necessary training and education researchers and clinicians need to effectively integrate AI into clinical trial processes -      Bridging the gap between traditional clinical expertise and advanced technology is crucial, and it’s inspiring to consider the educational pathways that will prepare future professionals for this integration. The insights I gained from this webinar have fuelled my enthusiasm for the future of clinical trials and the role AI will play in shaping the medical landscape. It sparked a curiosity in me to delve deeper into this dynamic field. I look forward to exploring more opportunities to learn and contribute to these advancements in the future. #AI #ClinicalTrials #HealthcareInnovation #PatientSafety #FutureOfMedicine #StudentPerspective #WebinarInsights

In this month's founder spotlight, our partner Parul Singh sits down with Glass Health CEO and cofounder Dereck Paul, MD. Glass Health is a company that is empowering doctors with an AI-powered platform that supports clinical decision-making. During the interview, Dereck shared how his background in biotechnology inspired him to start Glass Health during the pandemic. His goal is to use AI to improve healthcare software, enhance patient outcomes, and support doctors. Here is a slightly edited version of the full conversation. Q: Tell us a little bit about your background and what led you to become a founder. A: I was interested in becoming a founder even before medical school. While studying biotechnology at Johns Hopkins, I was inspired by professors who were inventors. I tried to start a company as a pre-med student, but it didn't work out. During medical school at UCSF, I served as the chief of staff at a Y Combinator-backed AI drug discovery company, where I learned the importance of execution, market, and solving real problems. During the COVID-19 pandemic, I saw the weaknesses in our healthcare system and the lack of support for doctors, which led me to co-found Glass with Graham Ramsey. We aimed to provide better software for doctors, and our focus on AI has evolved over the past two years to create products that were previously impossible. Q: How Glass will help improve healthcare in the future? A: Many focus on efficiencies and optimization, but what's special about Glass is our focus on patient outcomes. We care about whether our product improves a patient's quality of life, wellness, or lifespan and saves lives. As AI models rapidly improve and outperform human experts in many tasks, including medical and clinical reasoning tasks, it seems inevitable that AI models will become the standard of care. This creates a moral imperative for us to build safe, reliable, responsible AI implementations that doctors can use. My biggest hope is that in 5-10 years, we'll look back and see that we made significant improvements in patient outcomes and saved lives through the application of AI as an assistant to doctors. Q: What challenges did you face in starting Glass? A: We've been fortunate to be a Y Combinator and Initialized company, receiving a lot of belief and support. However, the challenges of starting Glass included making something out of nothing—building a founding team willing to work without pay, developing the first product version, and acquiring the first 100 users. These initial steps were tough. Then came raising money, scaling the user base, and scaling revenue. Each stage of the startup presented new challenges. Fortunately, we've had great investors and mentors helping us overcome these barriers. Check out our blog for the full conversation ⬇

Tech enthusiasts love to wax lyrical about how AI could boost efficiency and cut costs in practically every industry under the sun — but in many ways, few could do with a sprinkling of AI magic more than healthcare. Beset by workforce shortages, rising costs as well as the strains of treating growing and ageing populations, the global healthcare sector has come under increasing pressure over the past few years. Many industry watchers point to the potential of AI to lend a helping hand — and the UK government seems to have the same line of thinking. Over the past few years, the NHS has been increasing its investment in AI. In 2019, the government announced it would invest £250m into a new NHS AI Lab to help tech companies develop and trial their tools in clinical settings. But despite the growing number of startups looking to deploy and trialling AI tools in the NHS, few have so far managed to secure commercial contracts with the organisation.    I found out exactly where startups are looking to deploy AI in the NHS — and the hurdles they face rolling out their products. Featuring: Peter Kecskemethy & Sarah Justine Kerruish — Kheiron Medical, Dr Dom Pimenta M.D. — TORTUS, Tom Searle PhD — CogStack and Greta Anderson — Balderton Capital. https://lnkd.in/eCBd4d5r

Fascinating learning from Jayme Strauss RN,MSN,MBA,SCRN, Viz.ai, Chief Clinical Officer (former), on using AI at scale in clinical care. Viz.ai is robust in using AI in imaging and radiology for neurovascular and cardiovascular disease identification, and is innovating in oncology. Key highlights:  - Viz.ai paved the way with de novo FDA clearance for computer aided triage for stroke in 2018 -  Recently received second de novo FDA clearance for cardiac AI -  Part of differentiated approach is focus on evidence generation and clinical evidence in real word settings to ensure that the tech works; not just validation work required for FDA approval study -  Many AI companies don’t have clinical evidence and that is necessary to build trust and confidence with stakeholders -  Benefits generated by using Viz.ai: decrease in time to treatment; better patient outcomes; lower length of stay -  Headwind for Viz.ai to scale quickly is the tech and process customization required -  Differentiator is Viz.ai designs and builds products with actual care teams. It takes time to understand each stakeholder, analyze complex workflows and identify gaps. Then with care teams, it problem solves where patients fall through the cracks or don’t get the right risk categorization.   -  Customization required to avoid throwing AI at healthcare without solving root issues -  Biggest barriers to market adoption at scale of this technology are limited resources and bandwidth at health systems to evaluate AI start ups -  The robust competitive landscape for AI startups is good as it causes each startup to be better, however it’s very cumbersome for providers to have the bandwidth to evaluate AI start ups Link to full episode https://lnkd.in/eHnZxYFp. Thank you for tuning into The Beat! #health #healthcare #wellness #ceo #leadership #innovation #technology #digital #business #data #ai #artificialintelligence #investment #venturecapital #privateequity #founders #startups #money #entrepreneur #grateful #light #love #service #codebreakermindset #media #podcast #hlth HLTH Inc.