about.subtitle
The application of machine learning algorithms in healthcare is often touted as a «ready-made future», yet we examine this field through the lens of current practice, ethical challenges, and proven efficacy. This collection brings together materials that explore the transition from theoretical models to the real-world use of technology in diagnostics, pharmacology, and personalized therapy. We focus not only on technical milestones but also on the evolving role of the physician, the interpretability of neural network outputs, and where the line of accountability for clinical decisions is drawn. This is an attempt to frame medical automation not as a replacement for human expertise, but as a sophisticated tool for augmenting a specialist's cognitive capabilities. Here, you will find critical analysis of clinical trials, breakdowns of medical system architectures, and discussions on patient data security, helping to form an objective view of the industry's technological transformation.
Lab
Electrical Engineering & System Sciences
Researchers tested whether AI systems can comprehend real-world medical conversations – and the results delivered a harsh verdict for the entire industry.
This article examines the accuracy of AI transcription for pharmaceutical names, identifies which models perform best, and explains the importance of this for medicine.
AI: Events
Products
Zyphra has introduced ZUNA, a foundational model for brain-computer interfaces capable of interpreting brain signals, bringing thought-to-text technology one step closer.
The Lumeo regional health network is integrating Oracle Health's ambient AI to automatically generate medical notes. This solution aims to free physicians from routine paperwork, allowing them to focus more on patient care.
The Oracle Health AI agent can now do more than just record visit details; it can also generate draft clinical orders based on the conversation with the patient.
The L7 Center conducted an independent study of the «Celsus» algorithm on mammography images – the system demonstrated high accuracy in detecting breast pathologies.
Want to dive deeper into the world
of neuro-creativity?
Be the first to learn about new books, articles, and AI experiments
on our Telegram channel!