Results 221 to 230 of about 1,449,758 (311)

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya   +8 more
wiley   +1 more source

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa   +10 more
wiley   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

open access: yesAIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu   +5 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Criteria of teacher and students's didactic performances in psychology: the Peruvian university students' perceptions. [PDF]

open access: yesFront Psychol
Bazán-Ramírez A   +8 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy