A new hypothesis proposes that our basic sense of being conscious—the “me inside”—originates in the brainstem, an evolutionarily ancient part of the brain. Drawing on evidence from pain research, brain injuries and anesthesia, the researchers suggest that the cerebral cortex processes much of the information we experience, while brainstem circuits make that information consciously felt. The paper offers a different direction for investigating one of science’s most enduring mysteries.

Large critical care databases such as MIMIC and eICU have expanded research opportunities, but practical guidance on analytical methods remains limited. This narrative review summarizes common and emerging methods—descriptive and associational analyses, prediction modeling, longitudinal and dynamic methods, causal inference, and artificial intelligence (AI)—focusing on applications, strengths, limitations, and method selection. Key challenges include missing data, temporal bias, confounding, overfitting, and limited external validation.

Generative AI, particularly large language models (LLMs) and multimodal systems, is emerging in intensive care. The ICU is data‑dense and high‑acuity, requiring rapid decisions. These models translate complex multimodal data into interpretable insights across diagnosis, prognosis, and documentation. This review covers clinical decision support; documentation automation; predictive analytics (sepsis, ARDS, acute kidney injury, ventilator liberation, delirium, continuous renal replacement therapy); ICU data summarization; synthetic data generation; and legal/ethical governance. Hybrid models integrating time‑series data with LLMs can contextualize alerts and generate explainable recommendations. Ambient listening tools streamline documentation. LLMs enhance predictive models by augmenting sparse data and producing interpretable narratives. Synthetic data supports algorithm development for rare events while protecting privacy. Implementation requires attention to trust, validation, bias, liability, and regulation.