📰 From AI-Powered Consults to Enhanced Dementia Diagnosis: Dive into This Week's Med AI Innovations! 🚀
Updates on Artificial Intelligence & Emerging Technologies in Medicine 🤖💊
“Conversations around AI aren’t just happening within one industry or organization — these conversations are top of mind across genders, generations, occupations, and industries…In general, business owners, business leaders, and professionals at all levels should be developing their understanding of AI and embracing their AI literacy.” - Dr. Karin Kimbrough, LinkedIn’s Chief Economist
Dear Med AI Enthusiast,
Welcome to The ‘Med AI’ Capsule weekly newsletter! Here’s your inside look at how AI and emerging technologies are transforming medicine. ⚕
Whether you're a medical professional 👩⚕️, a tech enthusiast 💻, or simply curious 🧠, The 'Med AI' Capsule is for you!
Stay informed 📰 about the latest updates and insights into the world 🌍 of AI in medicine.
Let the adventure begin! I’m thrilled to have you with me. 🚀
In today’s capsule:
5 News Updates
4 Latest Research Papers
3 Industry Innovators
2 Upcoming Events
1 Knowledge Resource
Reading Time: 7-10 minutes
News Updates 📰
1. 🩺 Stanford Medicine Launches AI-Powered Consult to Improve Clinical Decisions and Outcomes
Stanford Medicine has introduced ‘Patients Like Mine’, a suite of AI-powered services aimed at enhancing the quality of care provided by community physicians. This initiative provides access to Stanford's expertise, enabling high-quality, evidence-based treatment for patients everywhere.
Why Important: By empowering community physicians with advanced tools and data, Stanford Medicine is revolutionizing healthcare delivery. The initiative ensures that patients receive top-tier care, leveraging AI to provide timely, evidence-based responses to complex clinical questions and offering detailed data reports for better decision-making.
Caution: Ongoing training and support for community physicians are essential to fully utilize these advanced tools and ensure the consistent delivery of high-quality care.
2. 🧬 AI-Driven Breakthrough in Cancer Treatment: Insilico Medicine and Fosun Pharma Advance New Preclinical Candidate
Insilico Medicine, an AI-driven drug discovery company, has successfully delivered its second preclinical candidate compound (PCC) in collaboration with Fosun Pharma. This candidate, targeting DNA damage repair mechanisms, utilizes a synthetic lethal strategy for the treatment of solid tumors and is expected to move to the IND-enabling stage.
Why Important: This milestone underscores the power of AI in accelerating drug discovery and development. By leveraging advanced AI platforms, Insilico and Fosun Pharma are addressing critical unmet medical needs in cancer treatment, highlighting the growing role of AI in creating innovative therapies.
"AI, as a revolutionary tool for discovering innovative drugs, is continuously deepening and expanding its innovation empowerment in the medical field.” - Xingli Wang, MD, PhD, CEO of Global R&D Center, and Executive President of Fosun Pharma
Caution: As the candidate progresses, continuous evaluation and validation are crucial to ensure safety and efficacy in clinical settings. Further research and regulatory approvals are necessary before the treatment can reach patients.
3. 🧠 AI Tool Enhances Diagnosis of Multiple Types of Dementia
Researchers from Boston University have developed an AI tool that can diagnose ten different types of dementia, including vascular dementia, Lewy body dementia, and frontotemporal dementia, even when they co-occur. This tool utilizes a multimodal Machine Learning (ML) framework to accurately identify dementia pathologies using commonly collected clinical data.
Why Important: This breakthrough addresses the complexity of diagnosing dementia due to overlapping symptoms. By enabling differential diagnosis with routine clinical data, the AI tool promises to improve accuracy and accessibility, especially in regions with limited access to advanced testing.
"There aren't enough neurology experts around the world, and the number of patients needing their help is growing quickly. This mismatch is putting a big strain on the health care system. We believe AI can help by identifying these disorders early and assisting doctors in managing their patients more effectively, preventing the diseases from getting worse.” - Vijaya B. Kolachalama, Ph.D., FAHA, associate professor of medicine at Boston University Chobanian & Avedisian School of Medicine
Caution: Continuous validation and integration into clinical practice are necessary to ensure the tool's reliability and effectiveness. The collaboration between AI and healthcare professionals is essential for optimal patient outcomes.
4. 🗣️ Rep. Wexton Embraces AI Voice Model Amid Medical Condition Affecting Her Speech
Rep. Jennifer Wexton is using an artificial intelligence-generated model of her voice due to Progressive Supranuclear Palsy (PSP), which affects her speech. In a video posted on X, she expressed her joy and hope that this technology can empower people facing similar health and accessibility challenges.
Why Important: Wexton's use of AI voice technology showcases innovative applications of AI in addressing accessibility issues. This development demonstrates how AI can enhance quality of life for individuals with speech impairments, offering a more personal and less robotic-sounding alternative to traditional text-to-speech applications.
Caution: While AI offers significant benefits, it also poses risks if misused. It is crucial to ensure ethical use and safeguard against potential malicious intentions, emphasizing the need for responsible AI development and deployment.
5. 🏥 OpenAI and Thrive Global Back New AI Health Coach Venture
OpenAI's venture fund and Arianna Huffington's Thrive Global are investing in Thrive AI Health, a startup aimed at using AI to provide personalized health coaching for chronic conditions. The AI health coach is designed to promote healthier lifestyles and address health inequities by offering expert-level advice on sleep, food, fitness, stress management, and connection.
Why Important: This initiative highlights the potential of AI in improving health outcomes and reducing healthcare costs by providing personalized, proactive coaching. By leveraging AI, Thrive AI Health aims to support individuals in managing chronic diseases and promoting overall well-being.
"So much of the conversation around AI has been about how much time it will save us and how productive it will make us. But AI could go well beyond efficiency and optimization to something much more fundamental: improving both our health spans and our lifespans.” - Sam Altman, OpenAI co-founder, and Arianna Huffington, founder of Thrive Global
Caution: Ensuring the AI health coach remains accurate and effective will require ongoing updates and integration with the latest scientific research. Ethical considerations and data privacy must also be prioritized to protect users' personal health information.
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Latest Research Papers 🔬
JMIR Human Factors - An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial - showed positive patient and practitioner opinions on its use, despite low uptake, identifying factors like content relevance, tailoring, trust, and usability as crucial for engagement and acceptance.
Frontiers | Applications of large language models in psychiatry: a systematic review (frontiersin.org) - highlights their roles in clinical reasoning, social media analysis, and educational interventions, while noting limitations such as challenges with complex cases and underestimation of suicide risks.
Prediction of precancerous cervical cancer lesions among women living with HIV on antiretroviral therapy in Uganda: a comparison of supervised machine learning algorithms | BMC Women's Health | Full Text (biomedcentral.com) - identifies the best predictors and machine learning (ML) model, concluding that the random forest (RF) model, particularly with features selected by recursive feature elimination, outperforms other models with an accuracy of 90% and an AUC of 0.901.
Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models | Scientific Reports (nature.com) - concludes that ML models, particularly Random Forest (RF) and XGBoost (XGB), outperform DL models in accuracy and reliability, identifying key predictors such as Glasgow Coma Scale (GCS) at admission, ICU admission, age, and biochemical markers.
Industry Innovators 👨🏭
2Morrow - specializes in digital health solutions, offering evidence-based behavior change programs to help individuals quit smoking, manage stress, lose weight, and improve overall wellness. Their services use a combination of mobile apps and behavioral science to deliver personalized support and tools for lasting habit change.
Aetion - provides real-world evidence solutions using advanced analytics and data science to support regulatory decisions, health economics, and outcomes research. Their platform enables stakeholders in the healthcare industry to assess the safety, effectiveness, and value of medical treatments.
AIgnostics - specializes in AI-powered pathology to enhance disease diagnosis and research. They combine AI with expertise in pathology to develop advanced digital pathology solutions, aimed at improving accuracy and efficiency in clinical and research settings.
Upcoming Events 🧑💻
AI Workshop 3.0 is just around the corner on 14th July and we are geared up to bring an exciting updated experience to all participants!
Limited seats are available for AI Workshop!
In this workshop, we will be covering:
Basics of AI/ML and Data Science
Introduction to Orange and Kaggle
Effective use of AI for literature search and writing medical manuscripts
Hands-on use of ChatGPT and Others GenAI platforms by doctors
Using AI to increase daily productivity and creativity by doctors
For complete agenda - CLICK HERE
This is a foundation course for all medical professionals exploring the use of AI in their daily practice!
Knowledge Resource 📚
In this video, the speaker discusses the new interface for data analysis in ChatGPT with the release of GPT 4o. The interface allows users to edit charts live, interact with data, and view it with a cleaner aesthetic. The speaker provides a guide on how to use ChatGPT for data analysis, suggesting it could potentially replace Google Sheets or Excel in the future.
He emphasizes the importance of cleaning and formatting data before generating charts and visualizations. The speaker demonstrates creating charts such as bar graphs and pie charts, and analyzing data using tools like dual AIS line graphs and scatter plots. He also shows how to upload and clean data from tables to Google Sheets or Excel for further analysis.
Let’s wrap it up with a poll! 📊
Your feedback is crucial to me, as it helps me understand your interests and improve my offerings. I would appreciate it if you could take a few minutes to share your thoughts about what you've enjoyed and what you think I could do better.
Stay tuned for our upcoming editions as we explore the latest breakthroughs and dive deep into the transformative power of artificial intelligence and emerging technologies, shaping a healthier future. 🚀
Warm regards,
Disclaimer: The content in this newsletter was partly curated and summarised using AI LLMs, which can make mistakes. Please check all important information. For any issues or inaccuracies, please notify me on avneeshkhareonline@gmail.com.