AIMC Topic: Artificial Intelligence

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[To promote the clinical application of PET/MRI in oncology].

Zhonghua yi xue za zhi
PET/MRI integrates anatomical, functional and metabolic information, and is increasingly used in the field of clinical oncology, including early diagnosis of disease, local staging, detection of systemic metastases, evaluation of treatment efficacy a...

Total Force Fitness Standardization: Leveraging Policy and Metrics to Inform and Accelerate Implementation.

Military medicine
Total Force Fitness (TFF) metrics inform leaders at every level as they develop and evaluate policies, practices, and programs that enable soldiers, airmen, sailors, marines, guardians, and operators to achieve human performance optimization in all e...

Demonstrating Trustworthiness to Patients in Data-Driven Health Care.

The Hastings Center report
Patient data is used to drive an ecosystem of advanced digital tools in health care, like predictive models or artificial intelligence-based decision support. Patients themselves, however, receive little information about these technologies or how th...

Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.

JCO clinical cancer informatics
PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to underutilization of hereditary cancer risk assessment. Chatbots, or programs that use artificial intelligence to simulate conversation, have emerged as...

[Reflections on the Implications of the Developments in ChatGPT for Changes in Medical Education Models].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Ever since its official launch, Chat Generative Pre-Trained Transformer, or ChatGPT, a natural language processing tool driven by artificial intelligence (AI) technology, has attracted much attention from the education community. ChatGPT can play an ...

[Application of Deep Learning Algorithm in the Grading Assessment of Corneal Fluorescein Staining].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: To explore the application value of applying deep learning (DL) algorithm in the grading assessment of corneal fluorescein staining.