Medicolegal

3D Printing Soft Matters and Applications: A Review.

The evolution of nature created delicate structures and organisms. With the advancement of technolog...

[Artificial Intelligence: Challenges and Applications in Intensive Care Medicine].

The high workload in intensive care medicine arises from the exponential growth of medical knowledge...

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...

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...

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...

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 ...

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 ...

Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.

BACKGROUND AND OBJECTIVES: Direct immunofluorescence (DIF) is an important medical evaluation tool f...

Identification of asthma control factor in clinical notes using a hybrid deep learning model.

BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care...

A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells.

Cardiac fibrosis is a pathological process characterized by excessive tissue deposition, matrix remo...

Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing.

BACKGROUND: Invaluable information on patient functioning and the complex interactions that define i...