Results 241 to 250 of about 766,039 (346)
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek+23 more
wiley +1 more source
Artificial intelligence in automated detection of lung nodules: a narrative review. [PDF]
Khalaji A+5 more
europepmc +1 more source
Role of artificial intelligence-powered conversational agents (chatbots) in musculoskeletal disorders: a scoping review protocol. [PDF]
Gonzalez Aroca J+6 more
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
Research on artificial intelligence, machine and deep learning in medicine: global characteristics, readiness, and equity. [PDF]
Klingelhöfer D+4 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci+4 more
wiley +1 more source
Determining the Requirements of Vulnerable Groups for Health Counseling and Optimizing the Evaluation of Health Consultations: Mixed Methods Study With the Use of AI. [PDF]
Boehm-Fischer A, Beyer LM.
europepmc +1 more source
Strain gauges are attached to biomimetic flapping wings to investigate how wing strain sensors detect wind directions. A convolutional neural network model for wind direction classification is developed through experiments. The results reveal that wind classification is possible with strain data of only 0.2 flapping cycles, and the use of biomimetic ...
Kenta Kubota, Hiroto Tanaka
wiley +1 more source
Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review.
Treadgold BM+4 more
europepmc +1 more source