FDA General

Fighting COVID-19 with Artificial Intelligence.

The development of vaccines for the treatment of COVID-19 is paving the way for new hope. Despite th...

Clinical insights into hematologic malignancies and comparative analysis of molecular signatures of acute myeloid leukemia in different ethnicities using an artificial intelligence offering.

Next generation sequencing generates copious amounts of genomics data, causing manual interpretation...

[Protection effect of baicalin-regulated IKKα on inflammatory reaction of human oral keratinocytes].

PURPOSE: To observe the regulation of baicalin on IKKα mediated MASPIN in Human oral keratinocytes (...

When Medical Devices Have a Mind of Their Own: The Challenges of Regulating Artificial Intelligence.

How can an agency like the U.S. Food & Drug Administration ("FDA") effectively regulate software tha...

Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.

PURPOSE: There is a need for an improved understanding of clinical and biologic risk factors in pedi...

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional cla...

Prediction of RBP binding sites on circRNAs using an LSTM-based deep sequence learning architecture.

Circular RNAs (circRNAs) are widely expressed in highly diverged eukaryotes. Although circRNAs have ...

A disposable force regulation mechanism for throat swab robot.

Robots can protect healthcare workers from being infected by the COVID-19 and play a role in throat ...

Robot-Assisted Electrical Impedance Scanning system for 2D Electrical Impedance Tomography tissue inspection.

The electrical impedance tomography (EIT) technology is an important medical imaging approach to sho...

Regulatory Issues and Challenges to Artificial Intelligence Adoption.

Artificial intelligence technology promises to redefine the practice of radiology. However, it exist...

Clinical Artificial Intelligence Applications in Radiology: Neuro.

Radiologists have been at the forefront of the digitization process in medicine. Artificial intellig...

A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm.

PURPOSE: This study aimed to investigate whether a deep learning model for automated detection of un...

Regulation of Artificial Intelligence-Based Applications in Gastroenterology.

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia.

Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced eme...

Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron-Sparing Interventions.

Renal-cell carcinoma is the most common kidney cancer and the 13th most common cause of cancer deat...

Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function.

The circadian clock is an important adaptation to life on Earth. Here, we use machine learning to pr...

Research on automatic preprocessing equipment of salivary analyte for PCR inspection of coronavirus.

Polymerase chain reaction (PCR) inspection of salivary analyte is performed by pretreatment, RNA ext...

Using machine learning to automate ultrasound-based classification of butt-fused joints in medium-density polyethylene gas pipes.

Polyethylene (PE) pipes are widely used in gas distribution. Their joints are prone to various flaws...

Robotic Applications for Benign Gynecologic Procedures.

INTRODUCTION: Robotic systems provide a platform for surgeons to expand their capabilities, allowing...

Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions.

The Food & Drug Administration (FDA) is considering the permanent exemption of premarket notificatio...

Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.

Tremendous advances in artificial intelligence (AI) in medical image analysis have been achieved in ...