AIMC Topic: Problem Solving

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Study of a PST-trained voice-enabled artificial intelligence counselor for adults with emotional distress (SPEAC-2): Design and methods.

Contemporary clinical trials May 18, 2024
BACKGROUND: Novel and scalable psychotherapies are urgently needed to address the depression and anxiety epidemic. Leveraging artificial intelligence (AI), a voice-based virtual coach named Lumen was developed to deliver problem solving treatment (PS...
Female Adult Male Humans Artificial Intelligence Psychological Distress Counseling Voice Functional Neuroimaging Depression Psychotherapy Problem Solving Anxiety Prefrontal Cortex Middle Aged Quality of Life
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A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation.

Neural networks : the official journal of the International Neural Network Society May 3, 2024
As a special type of multi-objective combinatorial optimization problems (MOCOPs), the multi-objective traveling salesman problem (MOTSP) plays an important role in practical fields such as transportation and robot control. However, due to the comple...
Neural Networks, Computer Robotics Problem Solving Reinforcement, Psychology Algorithms Deep Learning
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Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.

BMC medical informatics and decision making Feb 7, 2024
BACKGROUND: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake environments, understanding t...
Problem Solving Humans Natural Language Processing
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Detection method of organic light-emitting diodes based on small sample deep learning.

PloS one Feb 5, 2024
In order to solve the surface detection problems of low accuracy, low precision and inability to automate in the production process of late-model display panels, a little sample-based deep learning organic light-emitting diodes detection model SmartM...
Image Enhancement Problem Solving Algorithms Deep Learning
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Potential cognitive risks of generative transformer-based AI chatbots on higher order executive functions.

Neuropsychology Feb 1, 2024
BACKGROUND: Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use...
Problem Solving Executive Function Cognition Natural Language Processing Humans Artificial Intelligence Algorithms
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Solving olympiad geometry without human demonstrations.

Nature Jan 17, 2024
Proving mathematical theorems at the olympiad level represents a notable milestone in human-level automated reasoning, owing to their reputed difficulty among the world's best talents in pre-university mathematics. Current machine-learning approaches...
Humans Problem Solving Natural Language Processing Mathematics
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Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.

Journal of medical Internet research Jan 12, 2024
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...
Workflow Problem Solving Data Analysis Biomedical Research Natural Language Processing Humans Systematic Reviews as Topic Artificial Intelligence Consensus
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Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education Nov 13, 2023
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...
Mental Recall Pharmacology, Clinical Language Learning Problem Solving Humans Artificial Intelligence
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Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval.

PloS one Nov 7, 2023
Bridge operational accident analysis is a critical process in bridge operational risk management. It provides valuable knowledge support for responding to newly occurring accidents. However, there are three issues: (1) research specifically focused o...
Problem Solving Pattern Recognition, Automated Artificial Intelligence Risk Management Knowledge
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TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.

Computers in biology and medicine Oct 21, 2023
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis and analysis. Currently, the successful application of Transformers' model in the field of computer vision, researchers have begun to gradually explore the appl...
Semantics Humans Neural Networks, Computer Problem Solving Software Skin Neoplasms Image Processing, Computer-Assisted
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