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[Early Prediction of Support Necessity for Pharmacy Clinical Internship Using Deep Learning].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
The duration of undergraduate study was extended in 2006 to six years for pharmaceutical education aimed at training highly qualified pharmacists. Clinical internship in current pharmaceutical education is positioned as being important for fostering ...

A commentary on the practice of integrated medical curriculum in the interdisciplinary field of medical engineering.

Annals of medicine
Shanghai University School of Medicine was a newly established medical college in 2018. It is founded on the national health development policies, international medical development trends and the close relationship between the advantages of new medic...

Using Robots in Medical Informatics Education.

Studies in health technology and informatics
Although robots have been used for quite some time in education on school and university level, we found no reports of robots being used in the teaching of medical informatics. Thus we present the timetable and structure of a one week, 2 ECTS blocked...

An efficient curriculum learning-based strategy for molecular graph learning.

Briefings in bioinformatics
Computational methods have been widely applied to resolve various core issues in drug discovery, such as molecular property prediction. In recent years, a data-driven computational method-deep learning had achieved a number of impressive successes in...

A "Bumper-Car" Curriculum for Teaching Deep Learning to Radiology Residents.

Academic radiology
RATIONALE AND OBJECTIVES: Our goal was to create an artificial intelligence (AI) training curriculum for residents that taught them to create, train, evaluate and refine deep learning (DL) models. Hands-on training of models was emphasized and didact...

Artificial intelligence in healthcare: Should it be included in the medical curriculum? A students' perspective.

The National medical journal of India
The application of artificial intelligence (AI) in healthcare has increased due to rapid digitization and integration of computer science in all fields. However, the outcome in relation to patient treatment and healthcare delivery is not that visible...

Learning curves in robot-assisted spine surgery: a systematic review and proposal of application to residency curricula.

Neurosurgical focus
OBJECTIVE: Spine robots have seen increased utilization over the past half decade with the introduction of multiple new systems. Market research expects this expansion to continue over the next half decade at an annual rate of 20%. However, because o...

Exploiting the power of information in medical education.

Medical teacher
The explosion of medical information demands a thorough reconsideration of medical education, including what we teach and assess, how we educate, and whom we educate. Physicians of the future will need to be self-aware, self-directed, resource-effect...

Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curriculum with frequent targeted assessment and feedback. Performance-based assessments, which have the strongest validity evidence, are currently not feasib...