PCI

Crimped braided sleeves for soft, actuating arm in robotic abdominal surgery.

BACKGROUND: This paper investigates different types of crimped, braided sleeve used for a soft arm f...

Clinical utility of balloon expulsion test for functional defecation disorders.

PURPOSE: I investigated the diagnostic accuracy of balloon expulsion test (BET) with various techniq...

Controllable surface haptics via particle jamming and pneumatics.

The combination of particle jamming and pneumatics allows the simultaneous control of shape and mech...

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary e...

Re: One- vs 4-week stent placement after laparoscopic and robot-assisted pyeloplasty: results of a prospective randomised single-centre study.

Non-Invasive Arterial Blood Pressure Waveform Generation in Critically Ill Patients: A Sensor-Based Deep Learning Approach

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...

abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance

Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibioti...

Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin--Cascade Learner of Thrombosis (CLoT) for personalized thrombosis prediction

We developed an integrated platform combining high-throughput automated biofabrication, systematic p...

Systems Biology and Machine Learning Decode an Immunometabolic Signature for Post-Thrombotic Syndrome

Objective: Post-thrombotic syndrome (PTS), a common complication of deep vein thrombosis, lacks obje...

Predicting the risk of in-stent restenosis after drug-eluting stent implantation: Pipe dream or machine learning-enabled opportunity?

MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.

Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...

Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections

Purpose: Aortic dissections are life-threatening cardiovascular conditions requiring accurate segm...

DWI-based deep learning radiomics nomogram for predicting the impaired quality of life in patients with unruptured intracranial aneurysm developing new iatrogenic cerebral infarcts following stent placement: a multicenter cohort study.

This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of li...

Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning.

Fast virtual stenting (FVS) is a promising preoperative planning aid for thoracic endovascular aorti...

Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplasty.

BACKGROUND: The occurrence of deep venous thrombosis (DVT) following total hip arthroplasty (THA) po...

Prediction of endoscopic restenosis after endoscopic balloon dilation in patients with Crohn's disease: a machine learning approach.

BACKGROUND: Endoscopic balloon dilation (EBD) is recognized as a minimally invasive and effective pr...

Novel AI Guided Non-Expert Compression Ultrasound DVT Diagnostic Pathway May Reduce Vascular Laboratory Venous Testing .

OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...

Prognostic Value Of Deep Learning Based RCA PCAT and Plaque Volume Beyond CT-FFR In Patients With Stent Implantation.

AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose ...

A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has ...

Diagnostic biomarkers and immune infiltration profiles common to COVID-19, acute myocardial infarction and acute ischaemic stroke using bioinformatics methods and machine learning.

BACKGROUND: COVID-19 is a disease that affects people globally. Beyond affecting the respiratory sys...