Lu Wang

More studies are trying to answer the question: what if everyone uses the same AI tool?

The technology that promises smarter investing may also amplify bad information and overconfidence.

Introduction The incidence of silent brain infarction (SBI) and perioperative neurocognitive disorders (PND) is higher in cardiac surgery. However, standard preventive strategies remain unknown due to limited evidence.Methods and analysis This multicentre, prospective, randomised controlled clinical trial with a 1-year follow-up includes patients undergoing elective cardiac surgery with cardiopulmonary bypass (CPB). 912 participants are randomly assigned 1:1 into either the intervention group with neuroprotective anaesthesia targets (mean arterial pressure 65–90 mm Hg, bispectral index 40–60, bilateral regional cerebral oxygen saturation ≥60%, arterial inflow temperature <37℃ and rewarming rate <0.5℃/min after exceeding 30℃ during CPB) or the control group maintained by anaesthetists according to routine care. The primary outcome is the 7-day incidence of new-onset SBI. The key secondary outcome is the 30-day incidence of PND. The secondary outcomes include the 5-day incidence of postoperative delirium, the 30-day incidence of new-onset overt stroke, the 1-year incidence of new-onset overt stroke, the 30-day incidence of transient ischaemic attack (TIA), the 1-year incidence of TIA, the 1-year incidence of PND, the 30-day and 1-year composite incidence of major adverse events (renal insufficiency, myocardial infarction, pulmonary embolism, seizure, all-cause mortality), length of stay (LOS) in intensive care unit, LOS in hospital and hospitalisation cost.Ethics and dissemination The trial was approved by the Institutional Review Board/Independent Ethics Committee of Fuwai Hospital (Approval No. 2024-2445) and all participating centres. We will disseminate the trial findings in peer-reviewed journals and present the results at national or international conferences.Trial registration number [NCT07048002][1].[1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT07048002&atom=%2Fbmjopen%2F16%2F6%2Fe116246.atom

Yinuo Wang Ke Zhang Mingxing Zhou Shijin Zhang Ling Zhao Gongjin Chen Luca Magagnin Lu Wang

As investors increasingly turn to artificial intelligence for help with everything from stock picking to risk management, JPMorgan Chase & Co. has been testing whether a model can do something more ambitious: allocate money itself.

As investors increasingly turn to artificial intelligence for help with everything from stock picking to risk management, JPMorgan Chase has been testing whether a model can do something more ambitious: allocate money itself.

Humanities and Social Sciences Communications , Jun 2026 The issue of disability among older adults is increasingly recognized as a critical

JPMorgan Chase untersucht, ob Künstliche Intelligenz nicht nur bei der Aktienauswahl oder dem Risikomanagement helfen, sondern auch selbst Kapital allokieren kann.

Mientras los inversionistas recurren cada vez más a la inteligencia artificial para tareas como seleccionar acciones o gestionar riesgos, JPMorgan Chase & Co. está probando si esta tecnología también puede tomar una decisión mucho más trascendental: asignar capital entre distintas clases de activos.

As investors increasingly turn to artificial intelligence for help with everything from stock picking to risk management, JPMorgan Chase & Co. has