Artur Olesch’s Post

The Demise of AI in Healthcare? Abt 10 years ago I was in discussions with several supermarket/pharmacy chains re investing in our project to commercialise the Strannik technology. One of these chains invested in Theranos and was stung when the Theranos scam was uncovered. Now I read of the impending demise of Babylon Health which has peddled Ali Parsa’s vision of advancing healthcare by AI. It is possible, indeed likely, that in the US Babylon Holdings has become severely overextended as a result of the overselling of the products and services which they have offered. When Ali Parsa was selling his vision I was promoting the Strannik technology. Perhaps therefore I have some knowledge of this matter. The online consultations offered by Babylon cannot deliver a better service than the GP who has the privilege of seeing the patient if required. The GP at Hand app is limited - severely limited in principle - because it is based upon biomedicine, warts and all. I’ve spent 20+ yrs promoting a fundamentally better technology - based upon measuring the number of pathological reactions. The technique is based upon a cognitive neuroscience type of approach rather than the plethora of medical diagnostics tests. It does so by measuring the emission of biophotons from pathological reactions which influences sense perception; and how the brain uses frequency to modulate the body’s function. To illustrate the brilliance of this research the EC invested EUR1.2BN in the Human Brain Project to do what was incorporated into the Strannik years before. So what can I learn from my experience? Firstly the healthcare systems of the world are not yet in favour of such radical and disruptive technologies. Secondly the investors were dazzled by the immense prospects for such a technology that they failed to undertake an adequate level of due diligence. Perhaps they did not have the knowledge to understand the limitations of the AI tech. being offered. Thirdly there are people who peddle dreams of AI changing healthcare yet the solutions being offered have fundamental limitations and/or can be immensely expensive. Many products touted as AI are not really AI. They are the application of mathematics in the line extension of existing products. The Strannik technology which I have promoted for the last 20 years is not AI. It is a precise mathematical model (simulation) of the relationship between sense perception, brain function, the physiological systems and related organs, and cellular and molecular biology; although there may be aspects of the technology which may qualify as an algorithm or AI. I’m a little frustrated, I admit, that I’ve been able to present a significantly better scientific case (90 peer reviewed medical papers and reported studies) than either Theranos or Babylon but have not been able to secure the funds required to take this project forward. Who knows what the future holds. As it was developed by a Russian researcher…….

Learn more about the incredible advancements happening in the heartbeat of medicine and uncover the ethical dimensions of AI in healthcare! Dive into this #forbes article and the revolution where #AI is reshaping the delivery of #medical news. Stay informed and stay ethical. #AIinHealthcare #MedicalNews #HealthTech #EthicalAI

Study shows potential for generative AI to increase access and efficiency in healthcare

Enhanced prompts elevate AI's accuracy in patient history summaries. #EnhancedMedicalRecords Follow us: https://t.me/webappia Summary: Researchers from Stanford and Duke universities have found that the artificial intelligence program ChatGPT can improve its ability to summarize patient notes when physicians engineer the prompts used to initiate the process. The study compared the program's histories of present illnesses (HPIs) with those written by senior internal medicine students. The results improved over three rounds, with the grades differing by less than a point on a 15-point scale. Common errors made by ChatGPT included adding patient ages and genders, as well as introducing information that was not present. The study highlights the importance of prompt quality in the program's performance and the need for collaboration between clinicians and AI developers. Hashtags: #chatGPT #AISmartensSPatientHistory #RefinedPrompts4BetterRecords

ICYMI, I recently published an article on the Orderly Health Blog about how AI would reshape healthcare (and in many ways already has): https://lnkd.in/guTDGyiU No surprise then to see this study recently published by JAMA indicating that AI may already be outperforming human doctors in clinical reasoning: https://lnkd.in/gfa5K6qR Before you assume that your next doctor's visit will be with a robot, it's important to note the authors comment that "AI [should be seen] as a complementary tool rather than a replacement for human expertise in healthcare." Still, exciting changes are coming... some of which are already here. #healthcare #ai #genai #futureofhealthcare

👉🏼 ChatGPT and Transcranial Direct Current Stimulation for Chronic Pain 🤓 Edson Silva-Filho 👇🏻 https://lnkd.in/eZ5neKRT 🔍 Focus on data insights: - The integration of artificial intelligence (AI) in science and clinical practice - Use of transcranial direct current stimulation (tDCS) for managing chronic pain - Analysis of responses generated by ChatGPT and comparison with existing literature and guidelines 💡 Main outcomes and implications: - AI, such as ChatGPT, can be a potential strategy to assist clinicians and researchers - Revolutionizing the academic field and clinical practice - Unmet scientific and clinical discussion regarding the use of AI in neuromodulation for chronic pain treatment 📚 Field significance: - Understanding the limits of AI usage in academic and clinical settings - Caution advised in the application of AI tools like ChatGPT in research and clinical practice 🗄️: [#AI #transcranialdirectcurrentstimulation #chronicpain #neuromodulation]

What should we know about AI in Medicine or AI in Healthcare? Undoubtedly, Artificial Intelligence in Medicine has and will have unbelievable potential. The AI technology in medicine will modernize conventional approaches in the next couple of years. Get in touch!

🤖 "Dr. Google" vs. "Dr. Chatbot" A phrase I hear from patients often: “I know I shouldn’t, but I googled it and…”. I don’t think “Dr Google” is inherently unhelpful, more information can help patients better understand their own bodies and attend medical consultations better informed. The issue is there is SO MUCH information out there and much of it can be inaccurate, irrelevant, and difficult to process, particularly while your stressed about your health. So where do we stand on “Dr Chatbot”? Generative AI use is on the rise, and those seeking quick medical advice are increasingly turning to AI Chatbots, like chatGPT. But can we trust them? False info can lead to serious health issues, from delayed treatment to inaccurate self-diagnosis. But, if these chatbots prove accurate, they could be a game-changer for health literacy. 🚀 The Need for Speed in Assessing AI in Healthcare In the ever-evolving AI landscape, speed is crucial. Effective, standardized testing models are essential. This paper introduces a promising pilot exercise, a step towards ensuring the reliability of AI-generated health advice. 💬 Join the Conversation Would you use a chat bot for health advice? Would you trust it? 📚 Read more about the pilot study: https://lnkd.in/e8MCrUi5

This year, AI took healthcare by storm, reshaping how we approach medicine and patient care! 🌟 🤖 ChatGPT and generative AI are easing the documentation load for healthcare pros, allowing more focus on patient care. 👁️ A new AI model for retinal image disease detection is improving diagnostic accuracy. 💡 AI-driven devices are ramping up medical productivity. 🩺 Advances in medical imaging and AI in education are creating more precise tools for doctors. 🔬 AI is speeding up cancer research, leading to personalized treatments. 🏥 The rise of FDA-approved AI medical devices, especially in radiology, is changing the healthcare landscape. 2023 is just the beginning of AI's transformative impact on healthcare. The future is here, and it's powered by AI! https://lnkd.in/gYx_tEsM #AI #Healthcare #Innovation #TechTrends #news #EONReality

Degradation of predictive power in clinical AI models over time #AIModelDegradation 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 _ ❇️ Summary: Predictive AI models used in healthcare are becoming less accurate over time, potentially leading to harmful results, according to new research from Mount Sinai. Many health systems are not tracking the performance of AI models over time, meaning they can be affected by data drift. Further complications arise if several AI systems are used simultaneously. Retraining the models and other processes also appeared to fail, making performance degradation a "ticking time bomb", one expert said. The FDA has issued guidance to address the issue, but researchers said there must also be new regulations covering model manufacturing and deployment. Hashtags: #chatGPT #PredictiveDegradation #AIModelErosion