RDGuru: A Conversational Intelligent Agent for Rare Diseases

Information Science, Artificial Intelligence, Medicine, Pediatrics, Basic Medical Sciences, Medical Laboratory Science, Life Sciences, Bioengineering, Genetics,
rare diseases   conversational AI   deep Q-network   medical consultation   large language model   knowledge Q&A   clinical decision-making  

Intelligent Conversational Agent for Rare Diseases—RDGuru: Cutting-edge Technology Powers a New Revolution in Clinical Diagnosis Academic Background and Research Motivation Rare Diseases (RD) refer to disease categories that affect fewer than 6.5 to 10 individuals per 10,000 population. Their individual rarity, complex clinical features, and divers...

WavRX: A Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model

Information Science, Computer Science, Artificial Intelligence, Medicine, Respiratory System, Environmental and Public Health, Psychiatry, Neurology, Oncology,
speech health diagnostics   disease-agnostic   privacy-preserving   generalizability   health embeddings   modulation dynamics   pathological speech  

New Breakthrough in Disease-Agnostic Remote Speech Health Diagnostic Models—An Interpretation of “wavrx: a disease-agnostic, generalizable, and privacy-preserving speech health diagnostic model” 1. Research Background and Introduction With the ongoing rise in demand for telemedicine and health management, realizing real-time, non-invasive, and auto...

Evomoe: Evolutionary Mixture-of-Experts for SSVEP-EEG Classification with User-Independent Training

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering, Biophysics,
brain-computer interface   electroencephalography   evolutionary mixture of experts   individual differences   user-independent training   SSVEP   transfer learning  

Interpretation of “EVOMOE: Evolutionary Mixture-of-Experts for SSVEP-EEG Classification with User-Independent Training” 1. Research Background and Problem Statement Brain-computer interface (BCI) technology has recently shown broad application prospects in neuroengineering, assistive technology for disabilities, rehabilitation, emotion recognition,...

Generative Reconstruction of Multimodal Cardiac Waveforms from a Single Vibrational Cardiography Sensor

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System, Life Sciences, Bioengineering,
cardiac monitoring   generative adversarial network   multimodal waveform   wearable sensor   vibrational cardiography   electrocardiography   non-invasive blood pressure  

Multimodal Cardiovascular Waveform Generation from a Single Vibrational Cardiography Sensor Background Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide, affecting hundreds of millions of patients each year and imposing a tremendous burden on global healthcare systems. According to literature, billions o...

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Urology, Nephrology, Medical Imaging, Oncology, Cardiovascular System,
medical diagnosis   randomized models   explainable artificial intelligence   extreme learning machines   random vector functional link   big data   deep learning  

New Breakthrough in Intelligent Medical Diagnosis: Randomized Explainable Machine Learning Models Drive Efficient Medical Diagnostics I. Academic Background and Research Motivation In recent years, Deep Learning (DL) models have played a crucial role in the field of healthcare. By processing vast amounts of medical data, DL significantly improves t...

From Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Medical Imaging, Life Sciences, Bioengineering,
digital twin   virtual human twin   digital health   clinical decision support   personalized health forecasting  

From Digital Twin to Virtual Human Twin: A “Moonshot” Project in Digital Health 1. Academic Background and Research Motivation Currently, the global healthcare system continues to face numerous unmet clinical and social needs, which manifest as a lack of treatment options, insufficient and expensive medical resources, lengthy waiting times, and ina...