AI Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

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Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey.

IEEE journal of biomedical and health informatics
Recent advances in electronic devices and communication infrastructure have revolutionized the traditional healthcare system into a smart healthcare system by using internet of medical things (IoMT) devices. However, due to the centralized training a...

WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition.

IEEE journal of biomedical and health informatics
In recent years, human activity recognition (HAR) technologies in e-health have triggered broad interest. In literature, mainstream works focus on the body's spatial information (i.e. postures) which lacks the interpretation of key bioinformatics ass...

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

IEEE journal of biomedical and health informatics
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain. Most existing EHR-oriented stu...

A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy.

IEEE journal of biomedical and health informatics
Endoscopy has been routinely used to diagnose stomach diseases including intestinal metaplasia (IM) and gastritis atrophy (GA). Such routine examination usually demands highly skilled radiologists to focus on a single patient with substantial time, c...

Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis.

IEEE journal of biomedical and health informatics
Deep learning approaches for medical image analysis are limited by small data set size due to factors such as patient privacy and difficulties in obtaining expert labelling for each image. In medical imaging system development pipelines, phases for s...

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

IEEE journal of biomedical and health informatics
Accurate tissue segmentation in histopathological images is essential for promoting the development of precision pathology. However, the size of the digital pathological image is great, which needs to be tiled into small patches containing limited se...

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies.

IEEE journal of biomedical and health informatics
A model's interpretability is essential to many practical applications such as clinical decision support systems. In this article, a novel interpretable machine learning method is presented, which can model the relationship between input variables an...

Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling.

IEEE journal of biomedical and health informatics
Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can aid in diagnosing lung diseases. Most of the existing lung sou...

Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks.

IEEE journal of biomedical and health informatics
OBJECTIVE: We propose a new analytic framework, "Artificial Synthetic Imaging Data (ASID) Workflow," for sleep classification from a wearable device comprising: 1) the creation of ASID from data collected by a non-invasive wearable device that permit...

Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning.

IEEE journal of biomedical and health informatics
Preliminary microbiological diagnosis usually relies on microscopic examination and, due to the routine culture and bacteriological examination, lasts up to 11 days. Hence, many deep learning methods based on microscopic images were recently introduc...