Medical Education

Developing a Robotic Surgery Curriculum: Selection of Virtual Reality Drills for Content Alignment.

INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no consensus about its training curricula. Recently, a virtual reality (VR) platform (SimNow, Intuitive, Inc) was introduced with 33 VR drills but without evidence of their validity. As part of our creating a new robotic VR curriculum, we assessed the drills' validity through content mapping and the ali...

Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study.

BACKGROUND: Emerging artificial intelligence (AI) technologies have diverse applications in medicine. As AI tools advance towards clinical implementation, skills in how to use and interpret AI in a healthcare setting could become integral for physicians. This study examines undergraduate medical students' perceptions of AI, educational opportunities about of AI in medicine, and the desired medium ...

Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data.

This paper proposes an automatic air-to-ground (A2G) channel model selection method based on machine learning (ML) using digital surface model (DSM) t...

Early Education Application Software Based on Artificial Intelligence VR Technology.

In order to solve the problems of restricted classroom and lack of repeated training in good curriculum, the design and development of a school life a...

Deep Learning-Based Framework for Fast and Accurate Acoustic Hologram Generation.

Acoustic holography has been gaining attention for various applications, such as noncontact particle manipulation, noninvasive neuromodulation, and me...

Ultrasound-enhanced catalytic degradation of simulated dye wastewater using waste printed circuit boards: catalytic performance and artificial neuron network-based simulation.

Recent developments of heterogeneous advanced oxidation for refractory organic contaminants and catalysts made of solid waste have attracted much atte...

Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study.

The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the...

Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.

INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carri...

Systematic review of academic robotic surgery curricula.

The use of robotic surgery has increased exponentially in the United States. Despite this uptick in popularity, no standardized training pathway exist...

"Cephalgia" or "migraine"? Solving the headache of assessing clinical reasoning using natural language processing.

In this op-ed, we discuss the advantages of leveraging natural language processing (NLP) in the assessment of clinical reasoning. Clinical reasoning i...

Artificial intelligence for oral and dental healthcare: Core education curriculum.

OBJECTIVES: Artificial intelligence (AI) is swiftly entering oral health services and dentistry, while most providers show limited knowledge and skill...

Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.

With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quantized neural networks (QNNs) or QNN-enabled IoT can ...

Artificial intelligence in medical education: a cross-sectional needs assessment.

BACKGROUND: As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definiti...

A Unified Framework for Automatic Distributed Active Learning.

We propose a novel unified frameork for automated distributed active learning (AutoDAL) to address multiple challenging problems in active learning su...

Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs...

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future.

Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex natu...

Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education.

RATIONALE AND OBJECTIVES: To evaluate the effectiveness of an artificial intelligence (AI) in radiology literacy course on participants from nine radi...

Three-dimensional simulation of the pancreatic parenchyma, pancreatic duct and vascular arrangement in pancreatic surgery using a deep learning algorithm.

Three-dimensional surgical simulation, already in use for hepatic surgery, can be used in pancreatic surgery. However, some problems still need to be ...

Virtual classroom proficiency-based progression for robotic surgery training (VROBOT): a randomised, prospective, cross-over, effectiveness study.

Robotic surgery training has lacked evidence-based standardisation. We aimed to determine the effectiveness of adjunctive interactive virtual classroo...

Application of Outlier Detection Model in Korean Language and Culture Communication System Based on Artificial Intelligence.

With the continuous expansion of the Internet in China, network communication models and network services have become more and more complex, and with ...