AI Forces Medicine to Rethink What Disease, Labels, and Evidence Mean
A new commentary argues that the greatest challenges facing clinical AI are philosophical, involving how medicine defines disease, draws diagnostic ...
A new commentary argues that the greatest challenges facing clinical AI are philosophical, involving how medicine defines disease, draws diagnostic ...
A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...
Researchers have built a hybrid deep learning model combining BiLSTM, Transformer and 1D CNN components that detects AI-generated text with ...
A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...
A large consortium of academic and industry researchers maps six open challenges facing large-scale randomized experiments, from organizational incentives and ...
A new systematic review reveals how artificial intelligence, generative models, and quantum computing are converging to transform drug discovery and ...
A new open dataset of 9300 Mandarin-English code-switched speech recordings, enhanced with AI-generated noise, speed and timbre changes, exposes how ...
Researchers adapted the human implicit association test for reasoning AI models and found that stereotype-inconsistent tasks demand measurably more computational ...
A new study found that ChatGPT's answers to clinical questions about adolescent eating disorders align substantially with American Psychiatric Association ...
A new survey in Vicinagearth provides the first systematic review of multi-intent spoken language understanding, comparing decoding strategies, modeling approaches, ...
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© 2025 Scienmag - Science Magazine