Research is being conducted on the use of large language models in clinical prediction tasks, with some studies suggesting they can be effective in encoding electronic health records and forecasting patient health trajectories. Other studies are evaluating the reliability of these models for clinical data extraction and their ability to provide clinical recommendations. The performance of large language models is being assessed in various areas, including bladder cancer prognosis and rheumatology, with some models being compared for their accuracy and clinical reasoning.