What's Next For AI In Healthcare In 2023? - The Medical Futurist

The Medical Futurist
26 May 202306:41

TLDRIn 2023, AI is set to revolutionize healthcare with FDA approvals and adaptive algorithms that learn and evolve. Regulatory challenges arise with self-learning programs, and the American College of Radiology provides guidelines for AI in medical specialties. Large language models face new regulations focusing on safety and transparency. Despite hurdles, AI's potential in drug discovery and integration into healthcare businesses is immense, promising increased efficiency and innovative solutions in various medical fields.

Takeaways

  • 🧠 AI is a major disruptor in healthcare, with the FDA approving numerous applications and working on regulatory mechanisms.
  • 🔍 The FDA is developing a comprehensive database for AI-based healthcare technologies to track approved applications and their safety and effectiveness.
  • 🔄 Adaptive algorithms represent a new challenge for regulation, as they self-learn and constantly evolve, which could complicate the approval process.
  • 📚 The American College of Radiology has introduced guidelines for submitting AI-related studies and for radiologists to approach AI studies.
  • 🏥 Large language models (LLMs) are expected to face new regulations focusing on safety, transparency, and accountability to prevent misuse.
  • 🚫 Regulatory challenges may lead to temporary bans in some regions, but the benefits of AI in healthcare are likely to outweigh these obstacles.
  • 💊 Drug discovery is a key area where AI could make significant inroads into the pharmaceutical industry, saving time and money.
  • 📈 The number of AI applications in established medical fields like radiology, oncology, and cardiology is expected to increase, with new areas like mental health emerging.
  • 🤖 Innovative models combining AI with human interaction, such as AI chatbots with human therapists, will be developed for various healthcare purposes.
  • 📝 AI tools will increase efficiency in healthcare by automating tasks like voice-to-text applications for medical records.
  • 🌐 A wide range of AI demand tools, not strictly related to medical healthcare, can assist in various tasks, from web development to content creation.

Q & A

  • What is the main focus of the video by Dr. Bartolo meshku?

    -The main focus of the video is to explore the current landscape of AI in healthcare and to predict what developments and challenges we can expect in 2023.

  • What role is the FDA playing in the advancement of AI applications in healthcare?

    -The FDA is approving numerous AI applications, marking crucial milestones, and paving the way for AI applications to transition from concept to clinical use. They are also working on developing a comprehensive database for AI-based healthcare technologies.

  • What is the significance of the FDA's development of a database for AI healthcare technologies?

    -The database serves as a repository of approved AI applications, providing crucial information about their intended use, effectiveness, and safety, which is essential for robust regulatory mechanisms.

  • What is the challenge that adaptive algorithms pose to regulatory bodies like the FDA?

    -Adaptive algorithms are self-learning programs that constantly change and evolve. The challenge for regulatory bodies is to regulate something that is constantly growing and changing, as it involves giving approval to a product that may change significantly over time.

  • How is the American College of Radiology contributing to the integration of AI in healthcare?

    -The American College of Radiology has introduced instructions on how to submit studies related to AI technology and provides guidance on how radiologists should approach reading AI studies, which will be implemented across all medical specialties.

  • What is the potential impact of large language models (LLMs) on healthcare, and how are regulatory bodies responding?

    -LLMs could revolutionize healthcare with their ability to process and understand large amounts of data. However, misuse could lead to misinformation or privacy violations. Regulatory bodies are developing frameworks focusing on safety, transparency, and accountability.

  • What is the 'Trojan Horse' for AI in Pharma according to the video?

    -Drug discovery is considered the 'Trojan Horse' for AI in Pharma, as AI is expected to break into the pharmaceutical industry through its effectiveness in this area and the potential for significant cost savings.

  • How will the number of applied AI solutions in healthcare change in the future?

    -The number of applied AI solutions is expected to increase in established areas such as radiology, oncology, and cardiology, and new areas such as mental health will also see the emergence of AI applications.

  • What innovative models for AI integration in healthcare are being predicted for the future?

    -Innovative models such as paid subscribers accessing an AI chatbot rooted to a human therapist for escalated queries are being predicted, indicating a hybrid approach to healthcare services.

  • How will the use of AI-based tools impact the efficiency and adoption of AI in healthcare?

    -The use of AI-based tools like voice-to-text applications will increase efficiency by reducing the time spent on documentation, leading to wider adoption of AI in healthcare.

  • What is the overall outlook for AI in healthcare in 2023 according to Dr. Bartolo meshku?

    -The outlook for AI in healthcare in 2023 is challenging, frightening, and exciting. Despite the hardships of adapting to new technology, the potential benefits far outweigh the difficulties, and the technology revolution is expected to reveal solutions that were previously unseen.

Outlines

00:00

🤖 AI in Healthcare: Regulatory Challenges and Innovations

Dr. Bartolo Meshku introduces the topic of AI in healthcare, highlighting the importance of staying updated with the latest developments in the field. The FDA's role in approving AI applications and the creation of a comprehensive database for AI-based healthcare technologies are discussed. The video emphasizes the challenges of regulating adaptive algorithms, which are self-learning and constantly evolving. It also touches on the American College of Radiology's guidelines for AI technology in radiology and the potential for large language models to be regulated differently due to their unique capabilities and potential risks. The summary concludes with a mention of the potential for AI to revolutionize healthcare despite regulatory hurdles.

05:01

🚀 The Future of AI Integration in Healthcare

This paragraph delves into the future of AI in healthcare, focusing on the integration of AI technologies in various medical fields. It discusses the potential for AI to increase efficiency through tools like voice-to-text applications and the development of innovative models that combine AI with human interaction. The paragraph also mentions the wide range of AI demand tools that can assist in various tasks beyond medicinal healthcare. The summary ends with an optimistic view of 2023 as a year of challenge and excitement in the tech revolution of healthcare, inviting viewers to subscribe for updates and explore courses offered by the Medical Futurist.

Mindmap

Keywords

💡AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of the video, AI is revolutionizing healthcare by improving diagnostics, treatment plans, and patient care. For example, the FDA has approved various AI applications for clinical use, indicating AI's significant role in the healthcare sector.

💡FDA

The FDA stands for the U.S. Food and Drug Administration, which is the regulatory body responsible for protecting public health by ensuring the safety, efficacy, and security of medical products. In the video, the FDA is highlighted for approving AI applications in healthcare and working on developing a comprehensive database for AI-based healthcare technologies.

💡Adaptive Algorithms

Adaptive algorithms are self-learning programs that constantly evolve and improve based on new data and experiences. The video discusses the challenge of regulating these algorithms in healthcare as they can change their behavior autonomously, which is a new frontier for regulatory bodies like the FDA.

💡Regulatory Mechanisms

Regulatory mechanisms are the processes and rules put in place by governing bodies to ensure the safety and efficacy of products or services. The video emphasizes the need for robust regulatory mechanisms to oversee the use of AI in healthcare, especially with the advent of adaptive algorithms.

💡American College of Radiology

The American College of Radiology is a professional medical society representing radiologists, medical physicists, and other healthcare professionals. The video mentions the introduction of guidelines by this organization on how to submit AI-related scientific publications and how radiologists should approach AI studies.

💡Large Language Models (LLMs)

Large Language Models, such as the one mentioned in the video, are AI systems that can understand and generate human-like text based on input data. The video discusses the upcoming regulations for LLMs to ensure safety, transparency, and accountability in their use within healthcare.

💡Drug Discovery

Drug discovery is the process of identifying new drugs and medications for medical use. The video suggests that AI will make significant inroads into the pharmaceutical industry through its effectiveness in drug discovery, potentially saving time and resources.

💡Mental Health

Mental health refers to the state of an individual's emotional, psychological, and social well-being. The video predicts that AI applications will expand into the field of mental health, offering new ways to diagnose and treat mental health conditions.

💡AI Demand Tools

AI demand tools are applications and technologies that leverage AI to meet specific needs or solve problems. The video mentions a wide selection of such tools that can assist in various tasks, from building websites to generating emails, and their potential integration into healthcare practices.

💡Efficiency and Adoption

The terms 'efficiency' and 'adoption' refer to the effectiveness with which a tool or technology is used and how widely it is accepted and implemented. The video suggests that the use of AI in healthcare will lead to increased efficiency and broader adoption of AI tools among medical professionals.

💡Tech Revolution

A tech revolution refers to a significant change or leap brought about by advancements in technology. The video concludes by expressing excitement for the tech revolution in healthcare, which will uncover new solutions and improve existing practices with the help of AI.

Highlights

AI is set to disrupt and transform healthcare with FDA approval of various applications.

The FDA is developing a comprehensive database for AI-based healthcare technologies.

Adaptive algorithms in AI are self-learning and constantly evolving, posing new regulatory challenges.

The American College of Radiology provides guidelines on AI technology in radiology.

Regulatory bodies worldwide are developing frameworks for the use of large language models in healthcare.

Potential regulations on AI in healthcare may lead to temporary bans in some regions.

Companies and healthcare institutions are integrating AI services like chatbots into their businesses.

AI is expected to break into the pharmaceutical industry through its effectiveness in drug discovery.

Silicon Medicine is using AI to predict potential drug molecules, accelerating drug candidate design.

The number of AI solutions in established medical fields like radiology, oncology, and cardiology will increase.

New AI applications are emerging in fields such as mental health, offering innovative models for therapy.

AI tools will increase efficiency in healthcare, with voice-to-text applications aiding medical record documentation.

AI demand tools, not strictly related to medicinal healthcare, can assist in a wide range of tasks.

2023 is anticipated to be a year of challenges and excitement in the AI healthcare revolution.

The Medical Futurist offers courses on digital health and artificial intelligence in medicine and healthcare.

AI has the potential to reveal medical solutions that have been overlooked.

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