FDA General

2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases.

COVID-19 is an emerging disease with transmissibility and severity. So far, there are no effective t...

Industry ties and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices: a cross sectional study.

OBJECTIVES: To determine the extent and disclosure of financial ties to industry and use of scientif...

Rejoinder to Discussions on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep".

We thank the discussants for sharing their unique perspectives on the problem of designing automatic...

Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of biocreep" by Jean Feng, Scott Emerson, and Noah Simon.

I applaud the authors of Feng (2020) for tackling a challenging statistical problem on approval pol...

Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon.

Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep.

Successful deployment of machine learning algorithms in healthcare requires careful assessments of t...

Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.

Machine learning models for radiology benefit from large-scale data sets with high quality labels fo...

Gut microbiome-mediated epigenetic regulation of brain disorder and application of machine learning for multi-omics data analysis.

The gut-brain axis (GBA) is a biochemical link that connects the central nervous system (CNS) and en...

Deep Learning to Estimate RECIST in Patients with NSCLC Treated with PD-1 Blockade.

Real-world evidence (RWE), conclusions derived from analysis of patients not treated in clinical tri...

Machine learning at the interface of structural health monitoring and non-destructive evaluation.

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objecti...

Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken.

Two categories of immune responses-innate and adaptive immunity-have both polygenic backgrounds and ...

Creating a database for health IT events via a hybrid deep learning model.

OBJECTIVE: The use of poorly designed and improperly implemented health information technology (HIT)...

Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications.

Inspired by the information transmission mechanism in the central nervous systems of life, synapse-m...

Adverse drug event detection using reason assignments in FDA drug labels.

Adverse drug events (ADEs) are unintended incidents that involve the taking of a medication. ADEs po...

Zwitterionic 3D-Printed Non-Immunogenic Stealth Microrobots.

Microrobots offer transformative solutions for non-invasive medical interventions due to their small...

Evaluation of a stand-alone robotic camera holding system: technology that improves laparoscopy.

INTRODUCTION: In order to perform laparoscopic procedures, a surgeon requires an assistant to hold t...

College Football Overtime Outcomes: Implications for In-Game Decision-Making.

The use of AI and machine learning in sports is increasingly prevalent, including their use for in-g...

Development and Cross-Validation of a Nomogram for Chronic Kidney Disease Following Robot-Assisted Radical Cystectomy.

We sought to identify the factors associated with deterioration of renal functions after robot-assi...

Limpet II: A Modular, Untethered Soft Robot.

The ability to navigate complex unstructured environments and carry out inspection tasks requires ro...

A Cephalopod-Inspired Soft-Robotic Siphon for Thrust Vectoring and Flow Rate Regulation.

Cephalopods could simultaneously achieve both accurate positioning and agile bodily maneuvers by coo...

Synergistic drug combinations and machine learning for drug repurposing in chordoma.

Chordoma is a devastating rare cancer that affects one in a million people. With a mean-survival of ...