Latest AI and machine learning research in medical education for healthcare professionals.
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufacturing processes, such as improved production of therapeutic cells. Here, the process of CAR T-cell activation by antigen-presenting beads and their subsequent expansion is formulated in silico. The simulation is used as an environment to train RL-agents to dynamically control the number of beads i...
BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in the domain of ophthalmology, offering non-invasive imaging with high resolution for ocular disease detection. OCT, which is frequently used in diagnosing fundamental ocular pathologies, such as glaucoma and age-related macular degeneration (AMD), plays an important role in the widespread adoption o...
Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. They offer a vast range of applications, such as tuto...
BACKGROUND: Teeth identification has a pivotal role in the dental curriculum and provides one of the important foundations of clinical practice. Accur...
OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry impl...
Smart farm environments, equipped with cutting-edge technology, require proficient techniques for managing poultry. This research investigates automat...
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to high-interindividual differences in effective dos...
The estimation and prediction of the amount of sediment accumulated in reservoirs are imperative for sustainable reservoir sedimentation planning and ...
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorder...
The integration of artificial intelligence (AI) into health care offers the potential to enhance patient care, improve diagnostic precision, and broad...
OBJECTIVE: Advances in artificial intelligence (AI) have given rise to sophisticated algorithms capable of generating human-like text. The goal of thi...
The great learning ability of deep learning facilitates us to comprehend the real physical world, making learning to simulate complicated particle sys...
While there is data assessing the test performance of artificial intelligence (AI) chatbots, including the Generative Pre-trained Transformer 4.0 (GPT...
Adaptive steered molecular dynamics (ASMD) is a computational biophysics method in which an external force is applied to a selected set of atoms or a ...
In many applications, artificial neural networks are best trained for a task by following a curriculum, in which simpler concepts are learned before m...
Electronic packaging is an essential branch of electronic engineering that aims to protect electronic, microelectronic, and nanoelectronic systems fro...
As medical educators grapple with the consistent demand for high-quality assessments, the integration of artificial intelligence presents a novel solu...
INTRODUCTION: Letters of recommendation (LORs) are a highly influential yet subjective and often enigmatic aspect of the residency application process...
OBJECTIVE: This study aims to integrate and use AI to teach core concepts in a medicinal chemistry course and to increase the familiarity of pharmacy ...
Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the need for standardised training. Deconstructed proce...