Explore How AI Is Impacting Medicine: From Better Cancer Detection to Transformed Wound Care, and Much More!🤖
Weekly Updates on AI in Medicine 🤖🩺🚀
“We need to design and build AI that helps healthcare professionals be better at what they do. The aim should be enabling humans to become better learners and decision-makers.” ― Mihaela van der Schaar, PhD, director of the Cambridge Centre for AI in Medicine at the University of Cambridge in the U.K. (source: The Guardian)
Dear Med AI Enthusiast,
Welcome to this edition of ‘The Med AI Capsule’ Weekly Newsletter! ⚕️🤖💊 I'm really excited to have you with me as we dive into the fascinating world of Medical AI.
In this newsletter, I'll be your guide, taking you through the latest news updates and thought-provoking ideas in the ever-changing field of artificial intelligence in medicine.
Whether you're an interested medical professional, a tech enthusiast, or just curious about the future of medicine, 'The Med AI Capsule' is here to lead the way and show you the exciting possibilities and cautionary areas for AI in medicine.
So, get ready for an adventure, and let's explore this thrilling journey together!
In today’s capsule:
8 Med AI News Updates (Including 1 Deep Dive)
1 Med AI Event
1 Med AI Work Opportunity
1 Med AI Resource
Social Post of the Week
1 Fun Fact
Reading Time: 5-7 minutes
Microsoft Partners with Paige to Develop Groundbreaking Cancer-Detecting AI Model 🤖
Microsoft is teaming up with Paige, a digital pathology provider, to create the world's largest image-based artificial intelligence (AI) model.
This AI model is designed to identify various types of cancer, including rare ones that are challenging to diagnose.
Paige's AI model, developed with Microsoft's support, aims to modernize the traditional pathology workflow, which has remained largely unchanged for over a century.
By digitizing and using AI to assist pathologists, the technology can potentially improve the accuracy and efficiency of cancer diagnoses.
Why is it important?
This partnership is crucial because it has the potential to address staffing shortages and growing caseloads in the field of pathology, potentially speeding up cancer diagnoses and ensuring more patients receive timely treatment.
It could democratize access to healthcare in underserved areas by offering advanced diagnostic capabilities.
"Until ChatGPT got released, no one really understood how this is going to impact their lives. I would argue this is very similar for cancer patients going forward. This is sort of a groundbreaking, land-on-the-moon kind of moment for cancer care." - CEO Andy Moye
Remember:
While this AI model holds promise, it is still in development and will be undergoing testing and regulatory approvals. It may take some time before it becomes widely available for clinical use.
Other Med AI News:
Cutting-edge 'smart bandages' are being developed to revolutionize wound treatment. These innovative bandages, equipped with AI and patient data, monitor healing and deliver medicine or stimulation as needed. They offer potential benefits for chronic wound patients, and cost-effectiveness, but are still in research and development.
Yale researchers have developed an AI model that enhances the detection of heart diseases, particularly left ventricular systolic dysfunction (LVSD). Using data from over 385,000 electrocardiograms (ECGs), the team created an AI model tailored to handle noise in real-world ECG recordings. The noise-adapted model showed significantly improved LVSD detection, offering the potential for earlier disease identification through wearable devices. While the model showed promising results, there is still work to be done to ensure the reliability of AI for LVSD detection in real-world scenarios.
Researchers have developed an AI tool to predict patient weight loss after bariatric surgery, offering informed choices for patients. Additionally, an AI-powered device for personalized drug delivery has been created, potentially revolutionizing treatment. Both innovations are promising but require further development and testing.
Researchers at The University of Texas at Austin have developed an AI model that can accurately diagnose knee osteoarthritis from medical x-ray images. The AI, when integrated into existing software, could assist clinicians in identifying potential cases of knee osteoarthritis during routine X-ray evaluations. While the goal is not to replace doctors, the AI system aims to enhance early diagnosis and improve patient care. This development has the potential to aid in tracking disease progression and provide comprehensive predictions for knee osteoarthritis, benefiting patients and researchers.
Stanford University researchers are leading the development of ACCEPT-AI, a new framework addressing the ethical use of AI in pediatric medical research. While existing guidelines like SPIRIT-AI and CONSORT-AI provide valuable standards for AI in medicine, they lack specific considerations for pediatric populations. ACCEPT-AI aims to guide researchers, clinicians, regulators, and policymakers through each stage of the AI life cycle, ensuring the ethical inclusion of pediatric data.
Starting in 2024, Nanyang Technological University, Singapore (NTU Singapore)'s Lee Kong Chian School of Medicine (LKCMedicine) will introduce an updated MBBS curriculum with a stronger focus on artificial intelligence (AI) and digital health. This curriculum adjustment includes incorporating tech-based teaching tools to create confident tech-savvy doctors who can provide compassionate patient-centered care.
Harvard Medical School's Department of Biomedical Informatics (DBMI) is launching an AI in Medicine Ph.D. track to train future leaders in the field of AI and medicine. The program aims to equip computational students with the skills to leverage biomedical data and cutting-edge AI techniques for transformative medical research. It fosters interdisciplinary collaboration, transcending traditional boundaries between fields like computer science, bioinformatics, and clinical medicine. AIM students will take clinical coursework, and the program emphasizes co-mentorship to enhance translational impact.
MED AI EVENT
MED AI WORK OPPORTUNITY
MED AI RESOURCE
GLOBAL CLINICAL ARTIFICIAL INTELLIGENCE DASHBOARD
Learn about the REAL-TIME STATE OF AI RESEARCH FOR HUMAN HEALTH using this free dashboard!
SOCIAL POST OF THE WEEK
Let’s wrap it up with a historical fun fact!
A milestone for artificial intelligence was reached in 1997 when IBM supercomputer Deep Blue defeated world chess champion, Garry Kasparov. The Russian champion defeated Deep Blue in their first encounter a year before, but in 1997, Deep Blue won two games while Kasparov only won one, with the last two ending as ties. (Reference)
Stay tuned for our upcoming editions as we explore the latest breakthroughs and dive deep into AI's transformative power, shaping a healthier future.
Warm regards,
P.S.: If you're a medical professional intrigued by artificial intelligence, but not sure where to start, feel free to reach out to me for personalised guidance HERE.
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Voluntary Disclosure: Generative AI tools were employed to help me in making this newsletter better for you.