Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor–One-Memristor Array

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
in-sensor computing   photonic memristors   neural network architectures   image processing   machine vision  

Report on the Academic Paper: “Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor-One-Memristor Array: A New Visual Computing Platform Combining Machine Learning and Brain-Inspired Neural Networks” Academic Background and Problem Identification Artificial vision systems play a significant role in intelligent edge computing. Howeve...

A Wearable Echomyography System Based on a Single Transducer

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Respiratory System, Neurology, Medical Imaging, Life Sciences, Bioengineering,
wearable devices   echomyography   single transducer   deep learning   muscle activity monitoring   wireless circuit   ultrasound  

Innovative Advances in Wearable Single-Transducer Echomyography Systems: From Muscle Dynamics Monitoring to Complex Gesture Tracking Academic Background and Research Significance In recent years, wearable electronic devices have garnered significant attention for their enormous potential in health monitoring and human-machine interaction. Electromy...

Memristors with Analogue Switching and High On/Off Ratios Using a Van der Waals Metallic Cathode

Physics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
memristor   van der Waals metal   analogue switching   high on/off ratio   neuromorphic computing   silver ion intercalation   low power consumption  

Research on Analog Memristors with Large On/Off Ratios Using 2D Van der Waals Metallic Cathodes Academic Background With the rapid development of artificial intelligence (AI) applications, traditional Von Neumann architectures are facing performance bottlenecks in data-intensive computing tasks. Neuromorphic computing is an emerging paradigm capabl...

Risk Model–Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial

Information Science, Artificial Intelligence, Medicine, Psychiatry,
suicide screening   clinical decision support   risk model   randomized clinical trial   suicide prevention   mental health   electronic health record  

Clinical Decision Support Guided by Risk Models in Suicide Screening: A Randomized Clinical Trial Academic Background Suicide prevention is a crucial topic in global public health, particularly in healthcare environments where identifying and intervening in suicide risks are top priorities. Traditional methods for identifying suicide risks rely mai...

Evaluation of Multimodal Large Language Models' Accuracy in Interpreting Radiologic Images

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Multimodal Large Language Models   Radiology   Image Interpretation   Accuracy   Medical Imaging   Artificial Intelligence   Diagnostic Tools  

Performance of Large Language Models in Radiology Image Interpretation: A Comparative Study with Human Readers Academic Background In recent years, large language models (LLMs) have demonstrated powerful capabilities in various fields, particularly in natural language processing. With the development of multimodal LLMs, these models can now handle ...

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-Alone Readers and Combined with Human Readers

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
Deep Learning   Breast Cancer Screening   Stand-Alone Reading   Human Reading   UK Cohort  

Deep Learning Algorithms in Breast Cancer Screening Academic Background Breast cancer is one of the most common cancers among women worldwide, and early screening is crucial for improving cure rates. Traditional Computer-Aided Detection (CAD) systems have been widely used in mammographic screening, particularly in the United States. However, while ...