AIMC Topic: Japan
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External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan.
Japanese journal of radiology
Nov 30, 2024
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to assist radiologists. However, external validation of its performance on low-dose CT (LDCT) images is insufficient. We examined the performance of the co...
Japan
Radiation Dosage
Solitary Pulmonary Nodule
Early Detection of Cancer
Radiographic Image Interpretation, Computer-Assisted
Sensitivity and Specificity
Tomography, X-Ray Computed
Male
Female
Middle Aged
Aged
Aged, 80 and over
Humans
Lung
Deep Learning
Retrospective Studies
Lung Neoplasms
Multiple Pulmonary Nodules
Machine learning algorithms mimicking specialists decision making on initial treatment for people with type 2 diabetes mellitus in Japan diabetes data management study (JDDM76).
Diabetes & metabolic syndrome
Nov 29, 2024
OBJECTIVE: To evaluate whether typical machine learning models that mimic specialists' care can successfully reproduce information, not only on whether to prescribe medications but also which hypoglycemic agents to prescribe as initial treatment for ...
Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study.
JMIR formative research
Nov 27, 2024
BACKGROUND: Diagnostic errors are significant problems in medical care. Despite the usefulness of artificial intelligence (AI)-based diagnostic decision support systems, the overreliance of physicians on AI-generated diagnoses may lead to diagnostic ...
Performance of Artificial Intelligence Chatbots in Answering Clinical Questions on Japanese Practical Guidelines for Implant-based Breast Reconstruction.
Aesthetic plastic surgery
Nov 26, 2024
BACKGROUND: Artificial intelligence (AI) chatbots, including ChatGPT-4 (GPT-4) and Grok-1 (Grok), have been shown to be potentially useful in several medical fields, but have not been examined in plastic and aesthetic surgery. The aim of this study i...
Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging.
Japanese journal of radiology
Nov 25, 2024
PURPOSE: In radiology, large language models (LLMs), including ChatGPT, have recently gained attention, and their utility is being rapidly evaluated. However, concerns have emerged regarding their reliability in clinical applications due to limitatio...
A machine learning-based analysis of nationwide cancer comprehensive genomic profiling data across cancer types to identify features associated with recommendation of genome-matched therapy.
ESMO open
Nov 25, 2024
BACKGROUND: The low probability of identifying druggable mutations through comprehensive genomic profiling (CGP) and its financial and time costs hinder its widespread adoption. To enhance the effectiveness and efficiency of cancer precision medicine...
Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis.
Microbiology spectrum
Nov 19, 2024
The Nugent score is a commonly used diagnostic tool for bacterial vaginosis. However, its accuracy depends on the skills of laboratory technicians. This study aimed to evaluate the performance of deep learning models in predicting the Nugent score to...
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects.
Japanese journal of radiology
Nov 16, 2024
In this narrative review, we review the applications of artificial intelligence (AI) into clinical magnetic resonance imaging (MRI) exams, with a particular focus on Japan's contributions to this field. In the first part of the review, we introduce t...
A comparative study to elucidate factors explaining willingness to use home-care robots in Japan, Ireland, and Finland.
Scientific reports
Nov 12, 2024
The implementation of home-care robots is sometimes unsuccessful. This study aimed to explore factors explaining people's willingness to use home-care robots, particularly among care recipients and caregivers. Surveys were conducted in Japan, Ireland...
Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023).
Academic radiology
Nov 8, 2024
RATIONALE AND OBJECTIVES: To evaluate the performance of various multimodal large language models (LLMs) in the Japanese Diagnostic Radiology Board Examinations (JDRBE) both with and without images.
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