CloudFountain Inc.的动态

Presentations of the FDA Digital Health Advisory Committee Meeting on Generative AI-Enabled Devices: Enhanced Oversight, Transparency, and Validation in Generative AI for Healthcare Enhancing Regulatory Oversight and Transparency for Generative AI in Healthcare Robert Steinbrook, Director, Public Citizen emphasized the necessity of strong regulatory oversight for generative AI-enabled healthcare devices. He outlined key areas of concern, including transparency to healthcare professionals and patients, as well as mitigating discrimination through diverse training datasets. Transparency and Responsible Integration of AI in Healthcare Frederick Chen, MD, MPH Chief Health and Science Officer, American Medical Association, emphasized four pillars for responsible AI integration: transparency, clinical validation, workflow integration, and data privacy/security. He urged developers to provide detailed information on AI training processes and limitations, arguing for mandatory labeling of AI-enabled medical devices. He supported a risk-based approach to validation, advocating for stricter testing of diagnostic tools compared to administrative applications. Addressing the Multi-Use Nature of Generative AI in Medical Devices Anil Bhatta, PhD and Sandy Polu, Ph.D., Deloitte Consulting, emphasized the distinct risks of generative AI, including misinterpretation, biases, and "jailbreaking" (unauthorized prompt injections). They proposed solutions through Deloitte’s "Trustworthy AI Framework," emphasizing five dimensions: safety, robustness, privacy, transparency, and fairness. Techniques such as domain-specific fine-tuning, prompt shielding, and bias mitigation during the AI life cycle were recommended. Clinical Validation as the Cornerstone of Postmarket Monitoring for Generative AI Dr. Keith J. Dreyer, Chief Data Science Officer, Mass General Brigham, provided a critical evaluation of existing regulatory paradigms for AI devices. He argued that premarket testing alone is insufficient to ensure real-world effectiveness due to site-specific factors like variable data inputs and subject matter expertise. Instead, he proposed a "clinical validation" model, where AI tools undergo continuous monitoring post-deployment to ensure consistent performance across diverse clinical environments. Standardizing Health AI to Ensure Safety and Usability Kerri Conn Haresign, Consumer Technology Association, detailed the CTA efforts in developing standards for AI, particularly in healthcare. She emphasized the importance of consensus-driven standards that are measurable, practical, and adaptable to generative AI. Highlighting initiatives like the CTA Health AI Planning Council, she underscored the need for industry-wide collaboration to address gaps in education, transparency, and data usage. Video Link: https://lnkd.in/eud4Jcv2 #GenerativeAI #LarageLanguageModels #LLMs #AIinHealthcare #Regulation #FDA #TPLC #Compliance

Interesting article on the American Medical Association website earlier this year on how ambient AI is saving providers time by transcribing patient encounter. Doctors have been saving an average of one hour a day at the keyboard. Does this time savings, as well as other potential upsides of ambient AI, outweigh any potential downsides? What are some potential downsides you see from widespread adoption of ambient AI? #ascentmedicalgroup #amg #amgblog #seniorhealth #seniorcare #aihealthcare #HealthTech #HealthAI https://bit.ly/3AhnE66

AI in Healthcare is very promising, it can improve patient care and reduce costs, but we don’t need to forget about the risks and concerns that come with it. AI errors, biased and inconsistent answers make it dangerous and unreliable for use in clinical settings. That's why keeping humans in the loop is essential. While AI can process vast amounts of data quickly, it still lacks the ability to understand the complex nuances of medical decision-making.

Learn how AI is revolutionizing medical documentation & charting in this #blog: https://ecw.co/4eGBoWJ

Learn how AI is revolutionizing medical documentation & charting in this #blog: https://ecw.co/3XZyKG7

Ensuring safe and equitable AI in healthcare requires strong guardrails, legislative support, and, most importantly, humans in the loop. In this recent article from Healthcare IT News, our CEO, Dr. Tim O'Connell, shares insights on the critical role of transparency, accountability, and fairness in AI's development and deployment. Check out the full article here: https://lnkd.in/g8B4mPYJ #HealthcareAI #AIethics #MedicalAI

Artificial Intelligence boosts efficiency in healthcare, streamlining resource allocation, scheduling and inventory management. #AI is revolutionizing #healthcare by analyzing large data sets quickly, helping doctors make accurate, data-driven decisions. Via https://lnkd.in/gDuZe88H #artificialintelligence #aiinhealthcare?

AI is revolutionizing healthcare, but these advancements come with an important question: Who’s responsible if things go wrong? AI systems can analyze massive amounts of data quickly, leading to early and precise diagnoses, optimized patient scheduling, and personalized treatment plans. However, errors in AI algorithms can result in misdiagnoses, inappropriate treatments, or delays in care, potentially harming patients. The responsibility can fall on medical practitioners, AI developers, and healthcare organizations. It's essential for all parties to ensure AI tools are safe, effective, and used correctly. Regular training, rigorous testing, and clear guidelines are critical. Check out our newest blog to learn more: https://bit.ly/3S8d9Ir

Scribetech (UK) to Launch Augnito Omni AI in 2025: Revolutionising Healthcare Documentation with Ambient Scribe AI https://lnkd.in/dcsWf7AS #MachineLearning #AdversarialAI #AI #EnterpriseAI #GenerativeAI

AI is transforming healthcare by assisting doctors with administrative tasks and enhancing patient interactions, but experts emphasize it should augment, not replace, human expertise.Artificial intelligence is reshaping healthcare by streamlining administrative tasks and improving patient interactions, but experts caution that AI should complement, not replace, human doctors.AI's #AI #digitaltransformation #healthcare #medicaltechnology #patientcare