AI Medical Compendium Topic:
Software

Clear Filters Showing 631 to 640 of 3426 articles

Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems.

PloS one
This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population...

Artificial intelligence in scientific writing: a friend or a foe?

Reproductive biomedicine online
The generative pre-trained transformer, ChatGPT, is a chatbot that could serve as a powerful tool in scientific writing. ChatGPT is a so-called large language model (LLM) that is trained to mimic the statistical patterns of language in an enormous da...

Tuning Stiffness with Granular Chain Structures for Versatile Soft Robots.

Soft robotics
Stiffness variation can greatly enhance soft robots' load capacity and compliance. Jamming methods are widely used where stiffness variation is realized by jamming of particles, layers, or fibers. It is still challenging to make the variable stiffnes...

Potential Use of Artificial Intelligence in Infectious Disease: Take ChatGPT as an Example.

Annals of biomedical engineering
Over the past month, a new AI model called Chatbot Generative Pre-trained Transformer (ChatGPT), has received enormous attention in the media and scientific communities due to its ability to process and respond to commands in a humanistic fashion. As...

Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

Food science and technology international = Ciencia y tecnologia de los alimentos internacional
The purpose of this study was to create a tool for predicting the growth of total mesophilic bacteria in spinach using machine learning-based regression models such as support vector regression, decision tree regression, and Gaussian process regressi...

Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures.

Biometrics
Many popular survival models rely on restrictive parametric, or semiparametric, assumptions that could provide erroneous predictions when the effects of covariates are complex. Modern advances in computational hardware have led to an increasing inter...

Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study.

Systematic reviews
OBJECTIVE: To investigate the usefulness and performance metrics of three freely-available softwares (Rayyan®, Abstrackr® and Colandr®) for title screening in systematic reviews.

A semi-automated robotic system for percutaneous interventions.

International journal of computer assisted radiology and surgery
PURPOSE: A robotic assistive device is developed for needle-based percutaneous interventions. The aim is a hybrid system using both manual and actuated robotic operation in order to obtain a device that has a large workspace but can still fit in the ...

[Artificial intelligence and internal medicine: The example of hydroxychloroquine according to ChatGPT].

La Revue de medecine interne
Artificial intelligence (AI) using deep learning is revolutionizing several fields, including medicine, with a wide range of applications. Available since the end of 2022, ChatGPT is a conversational AI or "chatbot", using artificial intelligence to ...