Dr. Timos Papagatsias’ Post

Thoughts on this? >> Health-specific embedding tools for dermatology and pathology >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #mhealth #industry40 #healthtech #AI #IoT

Attention cancer hunters: here’s a powerful way to turn path slides into vectors for use in multiomics reasoning! Save for your research, drug discovery, and smart IR projects.

Google has just unveiled "Derm Foundation" & "Path Foundation," pioneering embedding tools designed for the nuanced fields of #dermatology and #digitalpathology. 🩺💻 👉 "Derm Foundation" is a #deeplearning tool designed for dermatology, transforming skin condition images into vectors to aid in the development of precise AI diagnostic models. 👉"Path Foundation" applies a similar approach to digital pathology, converting histopathology images into numerical vectors to enhance machine learning models for tissue analysis. 💡 My take? This is a monumental step towards democratizing medical expertise, potentially revolutionizing how we approach diagnostics and treatment planning. The preliminary outcomes are promising, showcasing enhanced performance in specific medical tasks over traditional methodologies. What are your thoughts on the impact of AI-driven tools in transforming medical diagnostics? #AIinHealthcare #MedicalInnovation https://lnkd.in/dg-MivbK

Google just made two AI foundation models in dermatology and pathology accessible! They describe how they have developed Path Foundation (models for pathology images) and Derm Foundation (to interpret images of dermatology conditions) and also made these available through API. "We envision that the Derm Foundation and Path Foundation embedding tools will enable a range of use cases, including efficient development of models for diagnostic tasks, quality assurance and pre-analytical workflow improvements, image indexing and curation, and biomarker discovery and validation. After gaining access to each tool, you can use the API to retrieve embeddings from dermatology images or digital pathology images stored in Google Cloud."

Health-specific embedding tools for dermatology and pathology There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately and efficiently. However, the development and implementation of such ML tools are often limited by the availability of high-quality data, ML expertise, and computational resources. #IntelligentCloudTransformation

AI's transformative impact on medicine, explored by Ryan Stidham, MD, reveals potential applications in dermatology, emphasizing caution, ethical considerations, and the need for collaboration across specialties. Discover the capabilities and risks presented at Masterclasses in Dermatology: https://lnkd.in/gWAPNQhV

They describe how Google have developed Path Foundation (models for #pathology images) and Derm Foundation (to interpret images of #dermatology conditions) and also made these available through API.

New research from MIT Media Lab and Sermo delve into the realm of dermatology diagnosis, utilizing a digital experiment to evaluate physicians’ diagnostic accuracy on images of inflammatory-appearing skin diseases. Over 1,000 physician participants opted-in from Sermo’s global community. The findings shed light on the complexities of dermatological diagnosis, paving the way for enhanced decision support systems and training initiatives to bridge diagnostic gaps and ensure equitable healthcare delivery. Key highlights include: 🔎 Specialists achieved a diagnostic accuracy of 38%, while generalists trailed at 19%. 🔎 Decision support from a fair deep learning system boosted overall diagnostic accuracy by over 33%, but highlighted a widening gap in accuracy among generalists, particularly across different skin tones. 🔎 DLS decision support significantly increases diagnostic accuracy, while leading to the inclusion of relatively few incorrect diagnoses. 🔗 Check out the full article and report here. https://lnkd.in/gmU6niw9 #sermo #research #insights #dermatology #skinhealth

#ArtificialIntelligence in Dermatology: Cure or Curse? 🤖✨ How will AI revolutionize patient care and reshape dermatology? Dive into the future of healthcare with this insightful feature story. https://okt.to/J3e8iZ #AI #Dermatology #HealthTech #FutureOfHealthcare #Derm #Dermatology #Dermatologist #DermInsights #SkincareExperts #DermDiaries #DermatologyExperts #Dermatology101 #DermatologyCare #DermatologyEducation