Investigating the effectiveness of chatgpt in mathematical reasoning and problem solving: Evidence from the vietnamese national high school graduation examination
This study offers a complete analysis of ChatGPT's mathematics abilities in responding to
multiple-choice questions for the Vietnamese National High School Graduation Examination …
multiple-choice questions for the Vietnamese National High School Graduation Examination …
Continuous learning AI in radiology: implementation principles and early applications
Artificial intelligence (AI) is becoming increasingly present in radiology and health care. This
expansion is driven by the principal AI strengths: automation, accuracy, and objectivity …
expansion is driven by the principal AI strengths: automation, accuracy, and objectivity …
Artificial intelligence in medical sensors for clinical decisions
Due to the limited ability of conventional methods and the limited perspective of human
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
Leveraging electronic health records for data science: common pitfalls and how to avoid them
Analysis of electronic health records (EHRs) is an increasingly common approach for
studying real-world patient data. Use of routinely collected data offers several advantages …
studying real-world patient data. Use of routinely collected data offers several advantages …
[HTML][HTML] Guidelines for artificial intelligence in medicine: literature review and content analysis of frameworks
NL Crossnohere, M Elsaid, J Paskett… - Journal of Medical …, 2022 - jmir.org
Background: Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of
consensus on its application and evaluation. Objective: We sought to identify current …
consensus on its application and evaluation. Objective: We sought to identify current …
[HTML][HTML] Development of smart aquaculture farm management system using IoT and AI-based surrogate models
MC Chiu, WM Yan, SA Bhat, NF Huang - journal of Agriculture and Food …, 2022 - Elsevier
Due to low labor participation by young adults and an aging agricultural population, Taiwan
and the rest of the world are facing labor shortages in agriculture, which will affect …
and the rest of the world are facing labor shortages in agriculture, which will affect …
Machine learning (ML) in medicine: Review, applications, and challenges
AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …
various industries, especially medicine. AI describes computational programs that mimic and …
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France
Background Artificial intelligence (AI), with its seemingly limitless power, holds the promise
to truly revolutionize patient healthcare. However, the discourse carried out in public does …
to truly revolutionize patient healthcare. However, the discourse carried out in public does …
Designing AI for trust and collaboration in time-constrained medical decisions: a sociotechnical lens
Major depressive disorder is a debilitating disease affecting 264 million people worldwide.
While many antidepressant medications are available, few clinical guidelines support …
While many antidepressant medications are available, few clinical guidelines support …
Tackling prediction uncertainty in machine learning for healthcare
Predictive machine-learning systems often do not convey the degree of confidence in the
correctness of their outputs. To prevent unsafe prediction failures from machine-learning …
correctness of their outputs. To prevent unsafe prediction failures from machine-learning …