Wednesday, October 25, 2023

g-f(2)1502 Navigating the AI Revolution in Medicine: Current Progress and Future Prospects

 

Lighthouse of the Big Picture of the Digital Age


genioux Fact post by Fernando MachucaChatGPT and Bard 


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Lighthouse of the Big Picture of the Digital Age


Introduction:


The field of medicine is on the cusp of an AI revolution that could significantly transform healthcare as we know it. The integration of AI tools into clinical practice has made considerable strides in recent years, but the road ahead remains complex. In this Genioux Fact post, we delve into the evolving landscape of AI in medicine, exploring how it has impacted healthcare professionals, the limitations it currently faces, and the promising developments that could reshape the future of patient care.



genioux GK Nugget:


Despite initial concerns, AI has not replaced human radiologists, with AI tools primarily focusing on medical imaging tasks and often leaving clinicians underwhelmed.



genioux Foundational Fact:


The fundamental issue lies in the fact that current AI tools function as support mechanisms for healthcare practitioners. They help in swiftly reviewing scans and highlighting potential issues. While they can significantly aid in the diagnostic process, they are not infallible. An incorrect AI diagnosis can have adverse consequences, and there are challenges in integrating AI tools across the healthcare system. Furthermore, existing AI tools tend to concentrate on specific tasks rather than offering comprehensive interpretations of medical examinations.



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  1. Surveys indicate that only a small proportion of physicians, ranging from 10% to 30%, have used clinical AI tools. Cautious optimism and a lack of trust in these technologies are prevalent among clinicians.
  2. Despite their potential, there's a lack of robust analysis on whether AI tools translate into better patient care outcomes.
  3. Generalist medical AI models, similar to those behind AI chatbots like ChatGPT, are generating enthusiasm. These models, trained on extensive medical data, hold promise for surpassing the limitations of current medical AI tools.
  4. Foundation models are gaining traction in the medical AI field, inspired by large language models like ChatGPT. These models, trained on diverse data types, offer flexibility and adaptability for different medical tasks.
  5. While foundation models avoid the need for extensive image annotation, most medical AI devices rely on supervised learning, which can be costly and time-consuming.
  6. Foundation models have the potential to address some of the limitations of first-generation medical AI tools, offering a broader approach to medical examinations and diagnoses.
  7. Big tech companies are investing in medical imaging foundation models that combine multiple image types and health data.
  8. Google Research introduced REMEDIS, an approach that significantly improved diagnostic accuracies, with only a small number of labelled images required.
  9. Microsoft is integrating language and vision into a single medical AI tool, making it possible to have conversations with images.
  10. AI tools, when extensively trained on diverse data, may be able to identify patterns that humans cannot perceive, potentially leading to significant advancements in diagnostics and disease understanding.






Conclusion:


While the promise of AI in medicine is undeniable, there's still a long journey ahead before AI can be seamlessly integrated into clinical care. Existing tools have shown their potential, but there are challenges regarding trust, accuracy, and their impact on patient care. Foundation models and generalist medical AI offer hope for overcoming current limitations, potentially enhancing the abilities of healthcare professionals. The transformation of healthcare through AI is inevitable, but it must be undertaken with caution and responsibility.



REFERENCE


The GK Article


Mariana Lenharo, An AI revolution is brewing in medicine. What will it look like?, nature, October 25, 2023.


This is a summary of Bard, with Google’s double-check response indicating in green that this text is well supported.


The article "An AI revolution is brewing in medicine. What will it look like?" from Nature discusses the potential of artificial intelligence (AI) to revolutionize the field of medicine. AI is already being used in a variety of ways in medicine, such as developing new drugs, diagnosing diseases, and providing personalized treatment plans. However, the authors argue that the full potential of AI in medicine has yet to be realized.

One of the most promising areas for AI in medicine is in the development of new drugs. AI can be used to analyze large datasets of patient data and identify patterns that would be difficult or impossible for humans to detect. This information can then be used to design new drugs that are more effective and have fewer side effects.

AI can also be used to improve the accuracy of diagnosis. AI systems can be trained on large datasets of medical images and patient records to identify patterns that are associated with different diseases. This can help doctors to diagnose diseases more accurately and earlier, when they are more treatable.

Finally, AI can be used to provide personalized treatment plans. AI systems can analyze a patient's individual medical history and genetic data to identify the best course of treatment. This can help doctors to tailor treatments to each individual patient, which can lead to better outcomes.

The authors conclude by arguing that the AI revolution in medicine is just beginning. As AI technology continues to develop, we can expect to see even more innovative and transformative applications of AI in medicine.

Here are some specific examples of how AI is already being used in medicine:

  • AI is being used to develop new drugs for cancer and other diseases.
  • AI is being used to diagnose diseases such as Alzheimer's disease and breast cancer more accurately and earlier.
  • AI is being used to provide personalized treatment plans for patients with cancer and other diseases.
  • AI is being used to develop new medical devices, such as robotic surgery systems and AI-powered microscopes.

The potential of AI to revolutionize medicine is vast. As AI technology continues to develop, we can expect to see even more innovative and transformative applications of AI in this field.



Mariana Lenharo


Mariana Lenharo is a science and health journalist based in New Jersey. She has written for publications such as Scientific American, Undark, Nature, Elemental, and Health. Lenharo is interested in evidence-based medicine, public health, and epidemics.

In her article "An AI revolution is brewing in medicine. What will it look like?", Lenharo discusses the potential of artificial intelligence (AI) to revolutionize the field of medicine. She highlights the following ways in which AI is already being used in medicine:

  • To develop new drugs and treatments
  • To improve the accuracy of diagnosis
  • To provide personalized treatment plans
  • To develop new medical devices

Lenharo argues that the full potential of AI in medicine has yet to be realized, but that it is poised to revolutionize the way we diagnose, treat, and prevent diseases.

In addition to her work as a journalist, Lenharo is also a volunteer for the Brazilian Network of Science Journalists and Communicators (RedeComCiência). In this role, she was awarded a grant by the International Center for Journalists (ICFJ) to develop the video project "Jornalismo Científico em 5 Minutos," which aims to give practical tips for early-career science journalists. Lenharo has also represented RedeComCiência at several international events, such as the Science Journalism Forum and the SciComPT Congress.

Lenharo is a passionate advocate for science communication and for making scientific knowledge accessible to everyone. She is also a strong believer in the potential of AI to improve human health and well-being.


Sources

www.linkedin.com/in/mariana-lenharo-ab07291b#:~:text=About,Paulo.



Type: Viral Knowledge, Free Speech



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Reference


genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1502, Fernando MachucaChatGPT and BardOctober 25, 2023, Genioux.com Corporation.



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