Risk Management

Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.

Models from machine learning (ML) or artificial intelligence (AI) increasingly assist in guiding exp...

Similarity Calculation, Enrichment Analysis, and Ontology Visualization of Biomedical Ontologies using UFO.

The rapid growth of biomedical ontologies observed in recent years has been reported to be useful in...

Clinician checklist for assessing suitability of machine learning applications in healthcare.

Machine learning algorithms are being used to screen and diagnose disease, prognosticate and predict...

A deep learning-based medication behavior monitoring system.

The internet of things (IoT) and deep learning are emerging technologies in diverse research fields,...

Artificial intelligence in cancer diagnostics and therapy: current perspectives.

Artificial intelligence (AI) has found its way into every sphere of human life including the field o...

Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.

To generate synthetic CT (sCT) images with high quality from CBCT and planning CT (pCT) for dose ca...

Identification of Gene Regulatory Networks from Single-Cell Expression Data.

Single-cell RNAseq is an emerging technology that allows the quantification of gene expression in in...

Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.

Systemic discrimination in healthcare plagues marginalized groups. Physicians incorrectly view peopl...

High-Throughput Image Analysis of Lipid-Droplet-Bound Mitochondria.

Changes to mitochondrial architecture are associated with various adaptive and pathogenic processes....

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.

To develop medical treatments and prevention, the association between disease and genetic variants n...

Deep Neural Networks for Epistatic Sequence Analysis.

We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neura...

The Regimen of Computed Tomography Screening for Lung Cancer: Lessons Learned Over 25 Years From the International Early Lung Cancer Action Program.

We learned many unanticipated and valuable lessons since we started planning our study of low-dose c...

Confronting pitfalls of AI-augmented molecular dynamics using statistical physics.

Artificial intelligence (AI)-based approaches have had indubitable impact across the sciences throug...

Application of artificial intelligence in screening for adverse perinatal outcomes: A protocol for systematic review.

The article presents a systematic review protocol. The aim of the study is an assessment of current ...

AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...

Network Building with the Cytoscape BioGateway App Explained in Five Use Cases.

The BioGateway App is a plugin for the Cytoscape network editor, allowing users to interactively bui...

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagecto...

Intelligent rehabilitation assistant system to promote the early functional recovery of the elderly patients with femoral neck fracture after hemiarthroplasty (HA): A protocol for a randomized controlled trial.

BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and m...

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI)...

Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocol.

Many natural substances and drugs are radical scavengers that prevent the oxidative damage to fundam...

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.