Medicolegal

Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce.

The increasingly realistic prospect of artificial intelligence (AI) playing an important role in rad...

Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalen...

Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.

Radiologists are expected to expediently communicate critical and unexpected findings to referring c...

Using artificial neural networks to predict future dryland responses to human and climate disturbances.

Land degradation and sediment remobilisation in dryland environments is considered to be a significa...

Robotic weeders can improve weed control options for specialty crops.

Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops ...

Natural language processing of lifestyle modification documentation.

Lifestyle modification, including diet, exercise, and tobacco cessation, is the first-line treatment...

Field evaluation of an unmanned aerial vehicle (UAV) sprayer: effect of spray volume on deposition and the control of pests and disease in wheat.

BACKGROUND: Unmanned aerial vehicles (UAVs) are a recently developed aerial spraying technology. How...

Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview.

Health informatics is a vital technology that holds great promise in the healthcare setting. We desc...

Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?

As capabilities of predictive algorithms improve, machine learning will become an important element ...

Development of a cardiac-centered frailty ontology.

BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to asse...

Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning.

Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that ar...

Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

U.S. military veterans who were discharged from service for misconduct are at high risk for homeless...

An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

Digital rectal examination (DRE) is considered a quality metric for prostate cancer care. However, m...

Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Will machine learning end the viability of radiology as a thriving medical specialty?

There have been tremendous advances in artificial intelligence (AI) and machine learning (ML) within...

Artificial intelligence and deep learning in ophthalmology.

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in r...

The digital scribe.

Current generation electronic health records suffer a number of problems that make them inefficient ...

Bioinspired 3D Printable Soft Vacuum Actuators for Locomotion Robots, Grippers and Artificial Muscles.

Continued technological progress in robotic systems has led to more applications where robots and hu...

Preparation of Nafion/Polycation Layer-by-Layer Films for Adsorption and Release of Insulin.

Thin films were prepared using layer-by-layer (LbL) deposition of Nafion (NAF) and polycations such ...

A computer-based approach for data analyzing in hospital's health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models.

BACKGROUND: Proper Health-Care Waste Management (HCWM) and integrated documentation in this sector o...

Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs...