AI-Enhanced Lung Cancer Prediction: A Hybrid Model's Precision Triumph

Information Science, Computer Science, Artificial Intelligence, Medicine, Respiratory System, Medical Imaging, Oncology,
lung cancer   deep learning   convolutional neural network   bidirectional long short-term memory network   text classification   natural language processing   precision medicine  

Background Introduction Lung cancer, as one of the most prevalent and deadly malignant tumors worldwide, continues to pose many challenges in modern healthcare. According to literature statistics, the five-year survival rate for lung cancer patients is extremely low, consistently ranking it among the top three causes of cancer death globally. Due t...

A Fresh Perspective on Deep Learning for Medical Time-Series Imputation

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging,
deep learning   medical time series   data imputation   electronic health records   inductive bias   missing data   benchmarking  

A New Perspective on Deep Learning for Medical Time-Series Imputation — An Interpretation of the Review “How Deep Is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation” 1. Academic Background and Research Motivation With the ongoing development of healthcare informatization, Electronic Health Records (EHRs) have bec...

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,...

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...