News

AI at Penn Medicine identified adalimumab as a life-saving treatment for a rare disease, iMCD. A patient near hospice care is now in remission for two years.

Johns Hopkins researchers have launched AbdomenAtlas, an AI-powered dataset of 45,000 annotated CT scans. This groundbreaking tool significantly enhances early cancer detection by providing AI models with extensive training data.

A revolutionary AI model, TD-CNNLSTM-LungNet, achieves 97% accuracy in diagnosing lung diseases using ultrasound, setting a new standard in medical diagnostics.

OpenAI's GPT-4b micro model, in partnership with Retro Biosciences, aims to extend human lifespan by re-engineering proteins and revolutionizing longevity science.

AI boosts breast cancer screening with 17.6% improved detection rates and faster workflows, as revealed by a landmark study in Germany.

The MIT Jameel Clinic released Boltz-1, an open-source biomolecular model that matches Google DeepMind’s AlphaFold3's accuracy in predicting 3D structures.

Stanford researchers unveiled SEQUOIA, an AI system that can predict gene expression patterns in cancer cells by analyzing standard biopsy images, potentially eliminating the need for expensive testing.

Evo, an AI model trained on 2.7M microbial genomes, can interpret and generate genetic sequences, revolutionizing DNA research and genetic editing.

NIH unveils an AI algorithm that streamlines clinical trial recruitment, boosting efficiency and advancing healthcare research.

Microsoft introduces BiomedParse, a groundbreaking AI model designed to unify and enhance biomedical image analysis, setting a new standard for precision and versatility.

ChatGPT-4 outperformed doctors in diagnosing complex medical cases, according to a UVA Health System study. The research highlights the potential and challenges of AI in medicine, urging a shift in how AI tools are integrated into healthcare.

Stanford researchers introduced the Virtual Lab, a revolutionary AI research platform where specialized agents work with scientists to tackle complex problems. Their first milestone? New COVID-fighting proteins.

Johns Hopkins researchers train a robot to perform surgery by watching videos, paving the way for autonomous surgical robots with human-like skill and adaptability.

AI-powered video analysis could soon replace bulky devices, screening for blood pressure and diabetes accurately without contact. Learn about this innovative breakthrough.

DeepMind open-sources AlphaFold 3, allowing researchers access to groundbreaking protein prediction AI, accelerating breakthroughs in biology and medicine.

Discover the importance of the International Day of Radiology, from its historical roots to the cutting-edge AI technologies revolutionizing the field today. Learn how X-ray Interpreter is celebrating this special day with a unique campaign.

AI is reshaping healthcare with platforms like Enchant from Iambic Therapeutics, which predicts drug success in early development stages. This innovation signals a future of more efficient and safer drug development, aligning with diagnostic advances that are making healthcare faster and more precise.

Harvard Medical School has unveiled a new AI tool capable of detecting various forms of cancer more accurately and quickly than traditional methods. This breakthrough in pathology image analysis could revolutionize early cancer diagnosis and patient care.

SLIViT, an AI model developed by UCLA, achieves expert-level accuracy in analyzing complex medical scans like MRIs and CTs. It promises faster, more accurate diagnostics, transforming the field of radiology and improving patient care.

Discover how Google's Med-Gemini is transforming the landscape of medical diagnostics with its advanced AI capabilities specifically tailored for X-ray analysis. This breakthrough technology enhances accuracy and efficiency, setting new standards in healthcare innovation.

Discover how GPT-4 AI is transforming radiology by matching the accuracy of experienced radiologists in detecting report errors, offering faster processing times and reducing costs in medical diagnostics.

Explore the impact of GPT-4 in radiology, focusing on its advances in AI-assisted image analysis and the balance between its potential and current limitations.