Lorenzo Righetto

In a randomized controlled trial in individuals with persistent atrial fibrillation, an individualized ablation procedure informed by AI led to improved efficacy for reducing arrhythmia recurrence at 12 months following the ablation procedure https://t.co/oto77504PD

RT @NatureMedicine: By simulating the implementation of airport-based wastewater surveillance sites at global level, a modelling study show…

RT @EricTopol: Getting your real-time heart rhythm monitored for 10 days now requires an ECG technician to review and notify your doctor of…

In a large-scale analysis of ambulatory electrocardiographic recordings, a deep learning algorithm had a substantially higher sensitivity for detection of critical arrhythmias as compared to technicians https://t.co/6bWeOcHtMr

RT @EricTopol: A randomized trial of GPT-4 vs 92 physicians with or without this #AI LLM for performance on patient care tasks. AI improved…

In a prospective study involving 92 physicians from multiple institutions, access to large language model assistance on top of conventional resources increased the quality of patient care reasoning @jonc101x @AdamRodmanMD @robjgallo https://t.co/ruiV3nZb06

RT @EricTopol: Preventing cognitive decline through lifestyle intervention, results of a large randomized trial https://t.co/v4rHNA4qE6 Co…

RT @PrelajArsela: The #callforabstracts for our annual AI for Oncology conference in @IstTumori (May 8-9, 2025) is open until Feb 3rd - htt…

RT @NatureMedicine: ⭐Research highlight: Analysis of satellite data assessing residential greenness across Italy indicate that thousands of…

An individual-based mathematical model to evaluate the public health benefits of RSVpreF vaccination uncovered that vaccinating older adults and pregnant women can substantially reduce RSV-related hospitalizations and deaths @Alison_Galvani https://t.co/7VPcVTK4fu

Trained on a large corpus of medical text and patient records and tested across diseases, an open source medical language model demonstrates higher accuracy than commercial counterparts and improves accuracy of clinicians in a reader study https://t.co/rSldOKESXU

With an improved framework for model development and evaluation, a large language model is shown to provide answers to medical questions that are comparable or preferred with respect to those by human physicians @vivnat @alan_karthi @AziziShekoofeh https://t.co/oi39YygWfF

RT @EricTopol: A generalist #AI LLM medical model that improves accuracy of physician diagnosis across 8 specialities for common and rare d…

Large language models can be manipulated to generate misinformation by poisoning of a very small percentage of the data on which they are trained, but a mitigation strategy can offer a method for addressing this vulnerability @ekoermann https://t.co/4ioRYvwW1P