Medicolegal

Pediatric age estimation from radiographs of the knee using deep learning.

OBJECTIVES: Age estimation, especially in pediatric patients, is regularly used in different context...

Electrohydrodynamic Pulling Consolidated High-Efficiency 3D Printing to Architect Unusual Self-Polarized β-PVDF Arrays for Advanced Piezoelectric Sensing.

Piezoelectric pressure sensors are important for applications in robotics, artificial intelligence, ...

Screening and functional prediction of differentially expressed genes in walnut endocarp during hardening period based on deep neural network under agricultural internet of things.

The deep neural network is used to establish a neural network model to solve the problems of low acc...

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.

Accuracy of medication data in electronic health records (EHRs) is crucial for patient care and rese...

Editorial Comment: Liability, the Next-Generation Problem for Autonomous Artificial Intelligence.

Is AI the Ultimate QA?

We are among the many that believe that artificial intelligence will not replace practitioners and i...

A machine-learning assisted review of the use of habit formation in medication adherence interventions for long-term conditions.

Adherence to medication in long-term conditions is around 50%. The key components of successful inte...

A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals.

To accelerate biomedical research process, deep-learning systems are developed to automatically acqu...

Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.

In vitro microelectrode array (MEA) assessment using human induced pluripotent stem cell (iPSC)-deri...

Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.

Proponents of artificial intelligence (AI) technology have suggested that in the near future, AI sof...

3D printing of resilient biogels for omnidirectional and exteroceptive soft actuators.

Soft robotics greatly benefits from nature as a source of inspiration, introducing innate means of s...

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation.

BACKGROUND: Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigatio...

Natural language processing for automated surveillance of intraoperative neuromonitoring in spine surgery.

We sought to develop natural language processing (NLP) methods for automated detection and character...

High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm.

Semiconductor metal oxide (SMO) gas sensors are attracting great attention as next-generation enviro...

The inclusion of augmented intelligence in medicine: A framework for successful implementation.

Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday life a...

Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing.

OBJECTIVES: To develop and validate classifiers for automatic detection of actionable findings and d...

Computational analyses of mechanism of action (MoA): data, methods and integration.

The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the drug discover...

Activating Silent Synapses in Sulfurized Indium Selenide for Neuromorphic Computing.

The transformation from silent to functional synapses is accompanied by the evolutionary process of ...

Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes.

Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria,...

Deep neural models for automated multi-task diagnostic scan management-quality enhancement, view classification and report generation.

The detailed physiological perspectives captured by medical imaging provides actionable insights to ...

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

BACKGROUND: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-m...