Subtle Medical

Find the latest for Subtle Medical company news

The Impact of Intelligent Systems on Medical Practice: Advancements in Diagnostics and Patient Care, Led by Gaurav Gupta

In today's rapidly evolving technological landscape, the application of intelligent systems is profoundly altering various sectors, with healthcare emerging as a primary beneficiary. Solutions powered by artificial intelligence (AI) are poised to reshape diagnostic procedures,

Here's what Maine health providers think of AI

The state's largest health care systems have already incorporated the technology into certain areas of practice, but many small providers are wary.

Telemedicine 3.0—The Future of Health Tech Is a Conversation

AI-powered conversation is emerging as a new vital sign in healthcare—continuous, intelligent and powerfully human.

Chatbots 7month
AI in healthcare may be making unfair decisions: Study unveils alarming bias

The study introduces G-AUDIT (Generalized Attribute Utility and Detectability-Induced bias Testing) as a data modality-agnostic auditing tool, meaning it can be applied across different types of medical datasets,

Weʼre Not There Yet, but Weʼre Headed in the Right Direction: The Promise of AI in Clinical Medicine

The Promise of AI in Clinical Medicine | AI is Transforming Medicine: A Doctorʼs Perspective on Its Impact and Future Potential

Mayo Clinic's secret weapon against AI hallucinations: Reverse RAG in action

To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.

NeuralCure AI Announces Breakthrough in AI-Powered Healthcare, Tackling the Third Leading Cause of Death in the U.S.

Medical errors are the third leading cause of death in the U.S., contributing to over 250,000 preventable deaths each year. NeuralCure AI is tackling this crisis head-on by eliminating diagnostic blind spots and accelerating treatment precision with its cutting-edge AI-driven decision support system.

Cybersecurity 7month
Healthcare's AI dilemma: Faster diagnoses, but at what cost?

The use of LLMs in healthcare involves sensitive patient data, making privacy a critical concern. Data leakage, unauthorized information retention, and vulnerabilities to adversarial attacks pose significant risks to patient confidentiality.