Diagnostics, clinical documentation and drug discovery — where AI meets medicine, with patient safety on the line.
217 articles
The NEO-ONE SCI brain-computer interface system has completed its first commercial implantation in China, offering a new rehabilitation path for spinal cord injury patients. It uses epidural signal acquisition to control external devices for hand movement.
虎嗅 · 64d ago
Researchers at UC San Diego used a Unitree G1 humanoid robot to perform a laparoscopic cholecystectomy on live pigs. This study, published in Nature, evaluates the feasibility of using general-purpose humanoid robots in surgical environments.
虎嗅 · 72d ago
A 17-year-old student developed 'RetinaMind', an AI tool using convolutional neural networks to analyze retinal images for autism and ADHD screening. The project achieved an 89% accuracy rate in tests, demonstrating the potential of AI in neurodevelopmental diagnostics.
虎嗅 · 73d ago
New research published in Nature shows that AI systems can match or outperform human clinicians in diagnosis and treatment planning. However, the study relied on synthetic patient data, highlighting a gap between controlled research and real-world clinical application.
The Next Web (TNW) · 92d ago
Researchers at the University of Cambridge have initiated the first human clinical trial for a vaccine with an antigen core entirely designed by AI. The project aims to provide broad protection against current SARS-CoV-2 variants and potential future zoonotic coronaviruses.
cnBeta (Full RSS) · 106d ago
The Coalition for Health AI (CHAI) has released a 228-page governance framework designed to help healthcare institutions manage AI risks, lifecycle, and ethical deployment. The guide provides actionable steps for policy, organizational structure, and third-party vendor management.
虎嗅 · 110d ago
A Harvard trial found OpenAI’s o1 model outperformed doctors in emergency triage diagnoses. The results showcase AI's potential as a second-opinion tool in hospitals.
Digital Trends · 141d ago
Empirisch Tech open-sourced Chaperone-Thinking-LQ-1.0, a 4-bit GPTQ quantized and QLoRA fine-tuned DeepSeek-R1-32B model hitting 84% on MedQA. It fits in 20GB VRAM on a single L40 GPU with 1.6x faster speed than base.
Reddit r/MachineLearning · 151d ago
Utah has become the first US state to allow AI to prescribe medicine through a regulatory sandbox. Health tech startup Doctronic launched the first such system, but security firm Mindgard identified risks in their chatbot during testing.
The Next Web (TNW) · 164d ago
Utah launched a one-year pilot allowing Legion Health's AI chatbot to renew certain psychiatric prescriptions without a doctor. Officials claim it cuts costs and addresses shortages; physicians call it opaque and risky.
The Verge · 169d ago
Corti launches Symphony AI, outperforming OpenAI and Anthropic on medical coding benchmarks. Built on the largest peer-reviewed medical coding study, it treats coding as a reasoning task.
The Next Web (TNW) · 171d ago
Apple is preparing an AI-focused update to its Health app, but Google Health’s past shortcomings offer a warning. The article argues that Apple will need to avoid similar issues around trust, usefulness, and execution.
TechRadar AI · 6d ago
Healthcare automation startup Forus has raised $150 million at a $3 billion valuation, tripling its value within months of its previous funding round. Its AI agents help patients and doctors navigate insurance, affordability, and drug fulfillment, with the new capital supporting expansion into oncology and neurology.
Bloomberg Technology · 11d ago
Seattle-based startup NewDays raised $16 million to expand its dementia-care platform, combining telehealth clinicians with an AI companion called Sunny. The company is bringing the service to Nevada and plans to operate across six states, citing early research showing cognitive-function benefits of up to 18 months.
GeekWire · 17d ago
Healthcare organizations can now connect EHR systems and additional industry data to ChatGPT. The feature helps clinicians securely access patient context, medical research, and other trusted healthcare information.
OpenAI News · 18d ago
Doctors have developed an AI tool that can identify signs of heart disease from a routine ECG in less than two seconds. Trained on millions of ECGs, it extracts signals that may be difficult for clinicians to detect visually and could help prioritize high-risk patients.
The Guardian Technology · 19d ago
Natera built an automated voice agent on Amazon Bedrock AgentCore that allows patients to schedule mobile phlebotomy appointments through natural conversation. Its architecture combines a dual-WebSocket bridge, event-driven latency masking, and progressive-trust authentication to achieve 100% tool-calling accuracy and sub-seven-second latency.
AWS Machine Learning Blog · 24d ago
China’s newly released 15th Five-Year Health Plan identifies innovative drugs, AI healthcare infrastructure, and commercial health insurance as the sector’s three major growth lines. For AI practitioners, the plan highlights national datasets, trusted data spaces, clinical pilot bases, and primary-care deployment.
虎嗅 · 41d ago
LLM-T1D combines Reinforcement Learning with LLMs like LLaMA 3.1 and Qwen3 to create a transparent, explainable insulin pump controller. The system achieves high blood sugar control accuracy while providing human-readable justifications for its medical decisions.
ArXiv AI · 64d ago
A paralysed man regained the ability to feed himself and drink from a cup after receiving a 'double neural bypass' brain implant. The technology bridges the gap between the brain and the spinal cord, allowing for restored motor control and sensory feedback.
The Guardian Technology · 65d ago
ScienceSoft leveraged Amazon Nova 2 Sonic and Amazon Bedrock Guardrails to develop a secure, HIPAA-compliant AI voice scheduling solution. This architecture demonstrates how to balance automated healthcare workflows with strict privacy and regulatory requirements.
AWS Machine Learning Blog · 67d ago
MedRealMM is a large-scale, real-world multimodal benchmark derived from authentic Chinese clinical consultations. It evaluates LLMs on their ability to handle text-image medical data, highlighting safety and reasoning gaps compared to human physicians.
ArXiv AI · 68d ago
This survey evaluates LLMs in healthcare by mapping clinical competency levels to computational reasoning patterns. It introduces a new benchmark across five reasoning levels and compares 18 state-of-the-art models to identify performance gaps in clinical practice.
ArXiv AI · 71d ago
Surgeons have successfully utilized humanoid robots to conduct a surgical procedure on live pigs in a preclinical trial. This milestone tests the feasibility of integrating humanoid robotics into complex medical environments.
Ars Technica AI · 72d ago
The NIH has launched a massive dataset pairing over 500,000 human genomes with comprehensive medical records. This resource aims to accelerate precision medicine research despite looming budget constraints.
The Next Web (TNW) · 80d ago
Researchers developed a multi-agent framework that integrates regulatory FDA data with patient narratives from Reddit and WebMD. The system uses a Neo4j knowledge graph to maintain provenance, ensuring psychiatric medication information is both context-rich and traceable.
ArXiv AI · 85d ago
This post introduces Chaplin, an open-source solution that uses AI agents powered by Amazon Bedrock and the Model Context Protocol (MCP) to provide self-service health event analytics.
AWS Machine Learning Blog · 86d ago
T2D-Bench is a new evaluation framework that uses a multi-layer knowledge graph to verify the clinical accuracy of LLM recommendations for type 2 diabetes. It identifies unsupported clinical omissions and forces compliance with evidence-based guidelines.
ArXiv AI · 86d ago
UnitedHealth Group is investing $3 billion into AI initiatives, including automated medical chart summarization and AI agents that schedule appointments. The technology is being deployed to streamline administrative tasks and improve clinical efficiency.
Bloomberg Technology · 92d ago
ACIE is an on-premise agentic RAG pipeline designed to handle complex patient contexts and cross-document dependencies in clinical settings. The system achieved a 96.5% clinician acceptance rate across 7,326 extractions, proving the efficacy of agentic reasoning in medical data triage.
ArXiv AI · 92d ago