output
20172026
most citedArtificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

173 citations

16 papers

cs.IR2026

LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-Analysis

Yen-Hsun Huang, Yu-Shiou Lin

Systematic reviews and meta-analyses (SR/MA) remain the gold standard for evidence synthesis, yet completing one typically requires 67 weeks and substantial expert effort. Recent l…

cs.CL2024★ 66 cited

Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation

Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang +10

Multi-modal large language models (MLLMs) have been given free rein to explore exciting medical applications with a primary focus on radiology report generation. Nevertheless, the…

q-bio.QM2023★ 4 cited

Variability of morphology in beat-to-beat photoplethysmographic waveform quantified with unsupervised wave-shape manifold learning for clinical assessment

Yu-Chieh Ho, Te-Sheng Lin, She-Chih Wang +2

We investigated the beat-to-beat fluctuation of the photoplethysmography (PPG) waveform. The motivation is that morphology variability extracted from the arterial blood pressure (A…

cs.RO2023★ 3 cited

DentiBot: System Design and 6-DoF Hybrid Position/Force Control for Robot-Assisted Endodontic Treatment

Hao-Fang Cheng, Yi-Ching Ho, Cheng-Wei Chen

Robotic technologies are becoming increasingly popular in dentistry due to the high level of precision required in delicate dental procedures. Most dental robots available today ar…

cs.LG2023★ 13 cited

Self-supervised learning-based general laboratory progress pretrained model for cardiovascular event detection

Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng +4

The inherent nature of patient data poses several challenges. Prevalent cases amass substantial longitudinal data owing to their patient volume and consistent follow-ups, however,…

cs.LG2021★ 75 cited

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)

Moumita Bhattacharya, Dai-Yin Lu, Shibani M Kudchadkar +10

Clinical risk stratification for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HC) employs rules derived from American College of Cardiology Foundation/American Heart…

cs.LG2021★ 21 cited

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model

Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis +9

Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low risk of congestive heart failure, hypertension…

eess.IV2020★ 2 cited

Self-similarity Student for Partial Label Histopathology Image Segmentation

Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo +6

Delineation of cancerous regions in gigapixel whole slide images (WSIs) is a crucial diagnostic procedure in digital pathology. This process is time-consuming because of the large…

eess.IV2020★ 173 cited

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17

While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…

q-bio.QM2019

Novel imaging revealing inner dynamics for cardiovascular waveform analysis via unsupervised manifold learning

Shen-Chih Wang, Hau-Tieng Wu, Po-Hsun Huang +3

Cardiovascular waveforms contain information for clinical diagnosis. By "learning" and organizing the subtle change of waveform morphology from large amounts of raw waveform data,…

cs.CV2019★ 26 cited

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

Peter Ström, Kimmo Kartasalo, Henrik Olsson +29

Background: An increasing volume of prostate biopsies and a world-wide shortage of uro-pathologists puts a strain on pathology departments. Additionally, the high intra- and inter-…

q-bio.QM2019

Differentiation of skin incision and laparoscopic trocar insertion via quantifying transient bradycardia measured by electrocardiogram

Cheng-Hsi Chang, Yue-Lin Fang, Yu-Jung Wang +2

Background. Most surgical procedures involve structures deeper than the skin. However, the difference in surgical noxious stimulation between skin incision and laparoscopic trocar…

cs.HC2018★ 125 cited

Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients

Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai +4

Inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the robustness of brain systems. In this study, we present a novel applica…

q-bio.QM2018★ 15 cited

Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data

Yu-Ting Lin, Yu-Lun Lo, Chen-Yun Lin +2

Object: It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibra…

eess.SP2018★ 90 cited

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG

Zehong Cao, Chin-Teng Lin, Weiping Ding +3

This study explores the responses to ketamine in patients with treatment-resistant depression (TRD) using a wearable forehead electroencephalography (EEG) device. We recruited fift…

physics.data-an2017★ 56 cited

Causal Decomposition in the Mutual Causation System

Albert C. Yang, Norden E. Huang, Chung-Kang Peng

Inference of causality in time series has been principally based on the prediction paradigm. Nonetheless, the predictive causality approach may overlook the simultaneous and recipr…