Artificial Intelligence in Healthcare and Education
Moving in medRxiv, Nature Medicine, bioRxiv, Cell, Nature Computational Science, BMJ, Frontiers in Genetics and Nature Methods.
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Latest in Artificial Intelligence in Healthcare and Education
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Agentic AI systems like Co-Scientist, Robin, and Biomni can generate hypotheses, design experiments, analyze data, and refine reasoning through feedback, advancing autonomous scientific reasoning.
DIAGNO, an AI system, achieves 67% top-3 accuracy, surpassing neurologists' 63%, in diagnosing complex neurological disorders confirmed by neuropathology.
- Open access
Synthetic data generation has the potential to transform gastrointestinal medicine by enabling more effective prevention, diagnosis, and treatment strategies.
The Multimodal Anonymizer achieves near-complete deidentification of multimodal hospital data with over 98% sensitivity and preserves critical clinical information at rates above 99%.
- Open access
A ReAct agentic AI system achieves 93.4% accuracy in natural language querying and analysis of TCGA clinical data, surpassing rule-based and LLM baselines.
- Open access
42.7% of surveyed obstetricians and gynecologists in France reported using AI in routine practice, mainly for administrative and informational tasks.
- Open access
Physicians using conversational AI in Latin America achieved significantly higher validity scores (median 2.83 vs. 2.46) than usual search methods in clinical case responses.
- Open access
General-purpose multimodal large language models in histopathology exhibit errors and hallucinations in over 80% of outputs, impacting diagnostic safety and reliability.
- Open access
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