MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data: Single-Subject Evaluations | HackerNoonEvaluation metrics improve significantly with increased fine-tuning data.
Reconstruction Evaluations Across Varying Amounts of Training Data: Mindeye2 | HackerNoonModel performance improves with increased training data, particularly in specialized contexts such as medical AI.
With AI models clobbering every benchmark, it's time for human evaluationGenerative AI assessment needs to shift from benchmarks to more human-centered evaluation methods.
Apple Quietly Working on AI Agent to "Replica" a Human DoctorApple is developing "Health+", an AI-powered health service to enhance its Health app by integrating features like personalized recommendations and tracking.
Hugging Face releases a benchmark for testing generative AI on health tasks | TechCrunchOpen Medical-LLM benchmark aims to evaluate generative AI models in medical tasks.
With AI models clobbering every benchmark, it's time for human evaluationGenerative AI assessment needs to shift from benchmarks to more human-centered evaluation methods.
Apple Quietly Working on AI Agent to "Replica" a Human DoctorApple is developing "Health+", an AI-powered health service to enhance its Health app by integrating features like personalized recommendations and tracking.
Hugging Face releases a benchmark for testing generative AI on health tasks | TechCrunchOpen Medical-LLM benchmark aims to evaluate generative AI models in medical tasks.
When Optimal is the Enemy of Good: High-Budget Differential Privacy for Medical AIThe balance between security and practicality is essential to avoid impractical outcomes.
Finding Clinical Compassion in Large Language ModelsAI-generated replies can enhance compassionate communication in healthcare.Structured compassion from AI increases patient engagement and adherence.Human input is crucial for personalizing AI's compassionate messages.
HuatuoGPT-o1: Advancing Complex Medical Reasoning with AIHuatuoGPT-o1 enhances medical reasoning by mimicking expert diagnostic processes through a two-stage training approach.
Finding Clinical Compassion in Large Language ModelsAI-generated replies can enhance compassionate communication in healthcare.Structured compassion from AI increases patient engagement and adherence.Human input is crucial for personalizing AI's compassionate messages.
HuatuoGPT-o1: Advancing Complex Medical Reasoning with AIHuatuoGPT-o1 enhances medical reasoning by mimicking expert diagnostic processes through a two-stage training approach.
It's remarkably easy to inject new medical misinformation into LLMsMisinformation training in models increases overall unreliability in medical content, even from minimal inclusion.
Exploring Positive-Sum Fairness in Medical AI | HackerNoonPositive-sum fairness in medical AI enables performance improvement without compromising subgroup fairness, by acknowledging not all disparities are detrimental.
AI could revolutionize health care. But first we need to revolutionize how we regulate itThe regulation and design of medical AI are critical for maximizing its benefits and minimizing risks to patient care.
What Should Be the AI Industry's Top Focus? 5 Leaders Weigh in on the Next YearAI development should prioritize ethical considerations to ensure it does no harm, akin to a medical Hippocratic oath.