AIMC Topic: Artificial Intelligence

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A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol.

PloS one
BACKGROUND: Manual screening of a Kato-Katz (KK) thick stool smear remains the current standard to monitor the impact of large-scale deworming programs against soil-transmitted helminths (STHs). To improve this diagnostic standard, we recently design...

Performance of ChatGPT in medical licensing examinations in countries worldwide: A systematic review and meta-analysis protocol.

PloS one
INTRODUCTION: In November 2022, the online artificial intelligence (AI) chatbot ChatGPT was released to the public, and swiftly garnered global attention because of its ability to provide detailed answers to complex queries. In medical field, ChatGPT...

Evaluation of root canal filling length on periapical radiograph using artificial intelligence.

Oral radiology
OBJECTIVES: This work proposes a novel method to evaluate root canal filling (RCF) success using artificial intelligence (AI) and image analysis techniques.

The power of artificial intelligence for managing pandemics: A primer for public health professionals.

The International journal of health planning and management
Artificial intelligence (AI) applications are complex and rapidly evolving, and thus often poorly understood, but have potentially profound implications for public health. We offer a primer for public health professionals that explains some of the ke...

Advanced Imaging in Dental Research: From Gene Mapping to AI Global Data.

Journal of dental research
Advances in imaging technologies combined with artificial intelligence (AI) are transforming dental, oral, and craniofacial research. This editorial highlights breakthroughs ranging from gene expression mapping to visualizing the availability of glob...

Adversarial Examples on XAI-Enabled DT for Smart Healthcare Systems.

Sensors (Basel, Switzerland)
There have recently been rapid developments in smart healthcare systems, such as precision diagnosis, smart diet management, and drug discovery. These systems require the integration of the Internet of Things (IoT) for data acquisition, Digital Twins...

Pedagogy and generative artificial intelligence: Applying the PICRAT model to Google NotebookLM.

Medical teacher
Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PI...

Charting the growth through intelligence: A SWOC analysis on AI-assisted radiologic bone age estimation.

International journal of legal medicine
Bone age estimation (BAE) is based on skeletal maturity and degenerative process of the skeleton. The clinical importance of BAE is in understanding the pediatric and growth-related disorders; whereas medicolegally it is important in determining crim...

Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination.

Current medical science
OBJECTIVE: To evaluate the accuracy and parsing ability of GPT 4.0 for Japanese medical practitioner qualification examinations in a multidimensional way to investigate its response accuracy and comprehensiveness to medical knowledge.

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality predicti...