FDA General

[Robot-assisted nephroureterectomy requiring no robot redocking or patient repositioning: experience from a single center with 62 cases].

To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient...

[Construction of Escherichia coli cell factories].

As an important model industrial microorganism, Escherichia coli has been widely used in pharmaceuti...

Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.

In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the past many ...

MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm.

Deep learning is an important branch of artificial intelligence that has been successfully applied i...

ARTIFICIAL INTELLIGENCE IN MEDICAL DEVICES: PAST, PRESENT AND FUTURE.

Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, du...

Modeling multi-species RNA modification through multi-task curriculum learning.

N6-methyladenosine (m6A) is the most pervasive modification in eukaryotic mRNAs. Numerous biological...

Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor n...

How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices.

OBJECTIVE: To examine how and to what extent medical devices using machine learning (ML) support cli...

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals.

Regulation of AI in Health Care: A Cautionary Tale Considering Horses and Zebras.

The introduction of Artificial Intelligence (AI) into health care has been accompanied by uncertaint...

Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to exp...

ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity.

MOTIVATION: Genetically engineering food crops involves introducing proteins from other species into...

A Novel Application of Head Tracking Data in the Analysis and Assessment of Operational Cervical Spine Range of Motion for Army Aviators.

INTRODUCTION: Neck pain among rotary-wing aviators has been established as an important issue in the...

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.

Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for ...

Robotic Single-Port Donor Nephrectomy with the da Vinci SP® Surgical System.

OBJECTIVES: The da Vinci SP® Surgical System received U.S. Food and Drug Administration approval for...

Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

The aim of this work is to study the dosimetric effect from generated synthetic computed tomography ...

Determining Cell Death Pathway and Regulation by Enrichment Analysis.

Bioinformatics tools and resources are valuable for the analysis of data sets focusing on programmed...

A few-shot segmentation method for prohibited item inspection.

BACKGROUND: With the rapid development of deep learning, several neural network models have been pro...

Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions Prediction.

Enhancer-promoter interactions (EPIs) in the human genome are of great significance to transcription...

Artificial intelligence in colonoscopy - Now on the market. What's next?

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In ...

Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

The exponential growth of health data from devices, health applications, and electronic health recor...