Human instruction with artificial intelligence guidance provided best results in neurosurgical training
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Jan-2026 09:11 ET (24-Jan-2026 14:11 GMT/UTC)
Researchers recruited medical students and got them to train for neurosurgery on simulators. They divided them into three groups: one trained with AI-only verbal feedback, one with expert instructor feedback, and one with expert feedback informed by real-time AI performance data. The team recorded the students’ performance, including how well and how quickly their surgical skills improved while undergoing the different types of training.
They found that students receiving AI-augmented, personalized feedback from a human instructor outperformed both other groups in surgical performance and skill transfer.Using portable high-efficiency particulate air (HEPA) purifiers at home can significantly lower systolic blood pressure (SBP) in adults with elevated baseline readings — even in areas with relatively low overall air pollution levels, according to a study published today in JACC, the flagship journal of the American College of Cardiology.
New study highlights that generative AI systems—especially large language models like ChatGPT—tend to produce standardized, mainstream content, which can subtly narrow users’ worldviews and suppress diverse and nuanced perspectives. This isn't just a technical issue; it has real social consequences, from eroding cultural diversity to undermining collective memory and weakening democratic discourse. Existing AI governance frameworks, focused on principles like transparency or data security, don’t go far enough to address this “narrowing world” effect. To fill that gap, the article introduces “multiplicity” as a new principle for AI regulation, urging developers to design AI systems that expose users to a broader range of narratives, support diverse alternatives and encourage critical engagement so that AI can enrich, rather than limit, the human experience.
Kayhan Batmanghelich, Assistant Professor of Electrical & Computer Engineering, Hariri Institute Junior Faculty Fellow and AIR Affiliate at Boston University, was awarded a $3.1 million competitive renewal R01 grant from the National Institutes of Health’s National Heart, Lung, and Blood Institute. With this grant, Batmanghelich will lead transformative research on Chronic Obstructive Pulmonary Disease (COPD) with collaborators from Boston University College of Engineering, University of Pittsburgh School of Medicine and Brigham and Women’s Hospital.
For the first time researchers from both Sheba Medical Center and Tel Aviv University have grown human kidney organoids (a synthetic 3D organ culture) from tissue stem cells in the laboratory mirroring human fetal kidney development.
A new study by researchers at the Icahn School of Medicine at Mount Sinai finds that widely used AI chatbots are highly vulnerable to repeating and elaborating on false medical information, revealing a critical need for stronger safeguards before these tools can be trusted in health care. The researchers also demonstrated that a simple built-in warning prompt can meaningfully reduce that risk, offering a practical path forward as the technology rapidly evolves. Their findings were detailed in the August 2 online issue of Communications Medicine [https://doi.org/10.1038/s43856-025-01021-3].
Slow scintillation component due to charge carrier capture at point defects is a serious issue in scintillator materials. Therefore, the fabrication of scintillators with a high proportion of fast component in scintillation response is of great interest to material scientists. By applying the defect engineering strategy in the advanced optical Lu3Al5O12:Ce,Mg (LuAG:Ce,Mg) ceramics, ultrahigh fast scintillation proportion can be achieved with slight loss of the fast scintillation light. This strategy has a broad application potential in improving fast scintillation proportion of various oxide scintillators.