Medical Education

Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India.

This study examined and addressed climate change's effects on hydrological patterns, particularly in...

The future of anatomy education: Simulation-based and AI-based learning.

Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study.

Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialt...

Identification of characteristic genes and herbal compounds for the treatment of psoriasis based on machine learning and molecular dynamics simulation.

Psoriasis brings economic and mental burdens to patients, the exact etiology and pathogenesis of pso...

Simulation of a control method for active kinesiotherapy with an upper extremity rehabilitation exoskeleton without force sensor.

Exoskeleton-aided active rehabilitation is a process that requires sensing and acting upon the motio...

Combining simulation models and machine learning in healthcare management: strategies and applications.

Simulation models and artificial intelligence (AI) are largely used to address healthcare and biomed...

Deep learning-aided decision support for diagnosis of skin disease across skin tones.

Although advances in deep learning systems for image-based medical diagnosis demonstrate their poten...

Validation of a Simulation Model for Robotic Myomectomy.

STUDY OBJECTIVE: Several simulation models have been evaluated for gynecologic procedures such as hy...

Enhancing deep learning classification performance of tongue lesions in imbalanced data: mosaic-based soft labeling with curriculum learning.

BACKGROUND: Oral potentially malignant disorders (OPMDs) are associated with an increased risk of ca...

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...

Generation of tissues outside the field of view (FOV) of radiation therapy simulation imaging based on machine learning and patient body outline (PBO).

BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT s...

Investigation and analysis of maker education curriculum from the perspective of artificial intelligence.

As an education model that focuses on the cultivation of students' creativity and practical ability,...

Comparing the performance of statistical, machine learning, and deep learning algorithms to predict time-to-event: A simulation study for conversion to mild cognitive impairment.

Mild Cognitive Impairment (MCI) is a condition characterized by a decline in cognitive abilities, sp...

Artificial Intelligence-based Amide-II Infrared Spectroscopy Simulation for Monitoring Protein Hydrogen Bonding Dynamics.

The structurally sensitive amide II infrared (IR) bands of proteins provide valuable information abo...

ChatGPT in Medical Education: A Precursor for Automation Bias?

Artificial intelligence (AI) in health care has the promise of providing accurate and efficient resu...

Plant science in the age of simulation intelligence.

Historically, plant and crop sciences have been quantitative fields that intensively use measurement...

Learning to Learn: How to Continuously Teach Humans and Machines.

Curriculum design is a fundamental component of education. For example, when we learn mathematics at...

Challenge, integration, and change: ChatGPT and future anatomical education.

With the vigorous development of ChatGPT and its application in the field of education, a new era of...

Robotic surgery education in Australia and New Zealand: primetime for a curriculum.

BACKGROUND: Globally, robotic surgery (RS) has witnessed remarkable growth, yet Australia and New Ze...

Awareness and level of digital literacy among students receiving health-based education.

BACKGROUND: Being digitally literate allows health-based science students to access reliable, up-to-...

SHIP: a computational framework for simulating and validating novel technologies in hardware spiking neural networks.

Investigations in the field of spiking neural networks (SNNs) encompass diverse, yet overlapping, sc...