AIMC Topic: Artificial Intelligence

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Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Uncertainty estimation methods are essential for the application of artificial intelligence (AI) models in medical image segmentation, particularly in addressing reliability and feasibility challenges in clinical deployment. Despite their significanc...

Performance of AI methods in PET-based imaging for outcome prediction in lymphoma: A systematic review and meta-analysis.

European journal of radiology
OBJECTIVES: To evaluate the predictive performance of artificial intelligence (AI) methods using pre-treatment PET-based imaging for outcome prediction in lymphoma through a systematic review and meta-analysis.

Performance of Artificial Intelligence-Based Models for Epiretinal Membrane Diagnosis: A Systematic Review and Meta-Analysis.

American journal of ophthalmology
TOPIC: Epiretinal membrane (ERM) can impair central vision by forming a pre-retinal fibrous layer on the inner retina. Artificial intelligence (AI)-based tools may streamline ERM diagnosis, but their overall performance and factors affecting accuracy...

Diagnostic accuracy of an artificial intelligence-based platform in detecting periapical radiolucencies on cone-beam computed tomography scans of molars.

Journal of dentistry
OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based platform (Diagnocat) in detecting periapical radiolucencies (PARLs) in cone-beam computed tomography (CBCT) scans of molars. Specifically, we ...

From the World Wide Web to AI: Why We Must Learn From Our Past to Transform the Future of Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
In 1989, the World Wide Web was proposed as a practical solution to connect scientists globally. That innovation later transformed how knowledge was accessed and shared across all sectors, including health care and education. While initially met with...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Academic medicine : journal of the Association of American Medical Colleges
Persistent geographic and specialty-based disparities in health care workforce distribution have created critical gaps in rural health care access, resulting in disproportionate morbidity and mortality in underserved communities. This commentary exam...

Effective Engagement With AI Is the Only Path Forward for Clinician-Educators.

Academic medicine : journal of the Association of American Medical Colleges
There is broad agreement that the cognitive abilities of generative artificial intelligence (GAI) technologies are existential opportunities for medical education, threatening to reshape both the clinical practice environment and the nature of learni...

Marathon Without a Finish Line: A Learner's Perspective on AI in Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
Artificial intelligence (AI) is rapidly evolving and increasingly being integrated into health care. Medical students and residents must develop a foundational understanding of AI's applications and implications for their education and training, prof...

It Takes More Than Enthusiasm: The Missing Infrastructure to Unlock AI's Potential in Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
Generative artificial intelligence (AI), including large language models (LLMs), is rapidly transforming health care delivery, yet medical education remains unprepared to harness its potential or mitigate its risks. While AI holds immense potential t...

Evaluating dental AI research papers: Key considerations for editors and reviewers.

Journal of dentistry
OBJECTIVE: Artificial intelligence (AI) is increasingly used in dental research for diagnosis, treatment planning, and disease prediction. However, many dental AI studies lack methodological rigor, transparency, or reproducibility, and no dedicated p...