AIMC Topic: Algorithms

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Of Typewriters and PCs: How the Complication of Computers Limits Us and What to Do About It.

Artificial life
PCs are complicated. Yet, being generally more effective, they have replaced typewriters in everyday life. Because of their complications, many of us wonder at PCs as if they were mysterious ghosts in the machine: entities with powers we cannot expla...

[Artificial intelligence in cardiology: definition, types, glossary, algorithms used - opportunities, limitations, development barriers, and challenges].

Giornale italiano di cardiologia (2006)
Artificial intelligence (AI) is revolutionizing cardiology, offering new opportunities to improve diagnosis, therapy, and prevention of cardiovascular diseases. By analyzing large amounts of data and supporting clinical decisions, AI can simplify mod...

Selection of neuroendocrine markers in diagnostic workup of neuroendocrine neoplasms: The real-world data and machine learning model algorithms.

Cancer cytopathology
BACKGROUND: Accurate diagnosis of neuroendocrine neoplasms (NENs) is challenging, especially in poorly differentiated neuroendocrine carcinomas (NECs). This study was aimed to search the best or best combination of neuroendocrine markers in the diagn...

PackPPI: An integrated framework for protein-protein complex side-chain packing and ΔΔG prediction based on diffusion model.

Protein science : a publication of the Protein Society
Deep learning methods have played an increasingly pivotal role in advancing side-chain packing and mutation effect prediction (ΔΔG) for protein complexes. Although these two tasks are inherently closely related, they are typically treated separately ...

[Applications and prospects of artificial intelligence in cervical spine surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine diseases, encompassing areas such as image analysis, assisted diagnosis, clinical treatment decision support, surgical assistance, and postoperative rehabili...

External Testing of a Commercial AI Algorithm for Breast Cancer Detection at Screening Mammography.

Radiology. Artificial intelligence
Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the BC Cancer Breast Screening Program. Materials and Methods In this retrospective study of 136 700 female individuals (mean age, 58.8 years ± 9.4 [SD]; ...

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models.

IEEE transactions on visualization and computer graphics
The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies offers the potential to build truly immersive XR environments that interact with human users through natural language, e.g., generating and animating 3...

Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To determine the extent to which current large language models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors ...

ChatGPT 4.0 and algor in generating concept maps: an observational study.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
BACKGROUND: To evaluate the performance of two AI systems, ChatGPT 4.0 and Algor, in generating concept maps from validated otolaryngology clinical practice guidelines.