Latest AI and machine learning research in medical education for healthcare professionals.
AIMS: To investigate the usage, implications, and perceptions of ChatGPT among dental students and understand how students incorporate ChatGPT into their academic routines, as well as the perceived benefits and concerns. METHODS: An electronic survey was distributed to all students enrolled in the Bachelor of Dental Surgery (BDS) in New Zealand's National Centre for Dentistry. The survey was direc...
OBJECTIVE: To assess psychiatry faculty knowledge, use, and perceptions of artificial intelligence (AI) in undergraduate medical education (UME) and graduate medical education (GME), and examine awareness of institutional AI policies. METHODS: A national survey was distributed to psychiatry clerkship directors and residency program directors at 105 allopathic and osteopathic medical schools and 21...
OBJECTIVE: This study compared the efficacy of Popular Science (PS) and Research-Based (RS) curriculum extensions in a Histology and Embryology course...
BACKGROUND: Meta-therapy (MT) is a powerful dialogue-based element of voice therapy that scaffolds patients' cognitive models of treatment. MT dialogu...
Among additive manufacturing (AM), 3D inkjet technology, materials extrusion (ME), and digital light processing (DLP), which are from dot and line to ...
BACKGROUND: Agentic artificial intelligence (AI) systems employing multi-model architectures with iterative reasoning may surpass standard single-mode...
Supervised machine learning is a popular tool for predictor selection in large data sets. The choice of method is currently either based on theory, su...
BACKGROUND: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive...
INTRODUCTION: Falls severely affect older adults and are emerging as a global health and financial burden for public health care systems. Multiple stu...
Introductory biology courses at 2- and 4-year colleges attract students from diverse disciplines, fulfilling both science prerequisites and general ed...
BACKGROUND: Generative artificial intelligence (GenAI) tools are being increasingly applied to teaching and learning in medical education creating bot...
High-throughput materials characterization is essential for accelerating materials discovery. To enable high-throughput characterization, machine lear...
Cooperative learning has long been recognized as an effective pedagogical strategy, yet the development of innovative techniques tailored to modern ed...
INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...
Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, perio...
IMPORTANCE: AI technologies increasingly influence dental education, but their instructional value, stakeholder perspectives, and institutional implic...
OBJECTIVE: Despite widespread consensus that quantifiable application characteristics impact match success, no prospective predictive algorithm has be...
As artificial intelligence becomes increasingly integrated into elderly healthcare systems, smart elderly health care (SEHC) has been promoted as a pr...
OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...
This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the...