Results 111 to 120 of about 91,465,093 (245)
Incorporation of peer learning in first MBBS curriculum to enhance metacognition skills [PDF]
Al Ameen Journal of Medical Sciences, 2012 Peer learning can be incorporated in the first MBBS curriculum along with didactic lectures and tutorials. Peer learning is when a student learns from another student who has been trained to explain the topic and discuss it. Peer learning improves domain-
Manas Kanti Ray, Suranjana Ray
doaj
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Peer-Allocated Instant Response (PAIR): Computational Allocation of Peer Tutors in Learning Communities [PDF]
This paper proposes a computational model for the allocation of fleeting peer tutors in a community of learners: a student\'s call for support is evaluated by the model in order to allocate the most appropriate peer tutor.
Wim Westera
core
Resilient Peer-to-Peer Learning Based on Adaptive Aggregation
11 ...
Chandreyee Bhowmick +1 more
openaire +2 more sources
Peer-to-Peer Learning Dynamics of Wide Neural Networks
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Peer-to-peer learning is an increasingly popular framework that enables beyond-5G distributed edge devices to collaboratively train deep neural networks in a privacy-preserving manner without the aid of a central server. Neural network training algorithms for emerging environments, e.g., smart cities, have many design considerations that are difficult ...
Shreyas Chaudhari +3 more
openaire +4 more sources
Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Ecological InformaticsAgriculture plays an essential role in the economies of many countries, as it provides numerous livelihoods. However, managing crop diseases is one of the major challenges in modern agriculture.
Denis Mamba Kabala +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
A new approach to the peer-learning: Artificial intelligence-assisted peer-learning [PDF]
Research and Development in Medical Education, 2023 Sajedeh Kermani +3 more
doaj +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Arthritis Care &Research, Accepted Article.Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source