Comparison of large language models in management advice for melanoma: Google's AI BARD, BingAI and ChatGPT
X Mu, B Lim, I Seth, Y Xie, J Cevik… - Skin Health and …, 2024 - Wiley Online Library
Large language models (LLMs) are emerging artificial intelligence (AI) technology refining
research and healthcare. Their use in medicine has seen numerous recent applications …
research and healthcare. Their use in medicine has seen numerous recent applications …
Minimizing bias when using artificial intelligence in critical care medicine
As early as 1979, authors evoked the promise of Artificial Intelligence (AI) to provide
diagnostic and therapeutic recommendations for patients in the intensive care unit (ICU)[1] …
diagnostic and therapeutic recommendations for patients in the intensive care unit (ICU)[1] …
Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making
Clinical Decision Support Systems (CDSS) utilize evidence-based knowledge and patient
data to offer real-time recommendations, with Large Language Models (LLMs) emerging as …
data to offer real-time recommendations, with Large Language Models (LLMs) emerging as …
A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and …
Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …
and creating coherent summaries that include all relevant and important information from the …
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Examining the game-changing possibilities of explainable machine learning techniques, this
study explores the fast-growing area of biochar production prediction. The paper …
study explores the fast-growing area of biochar production prediction. The paper …
[HTML][HTML] Towards the development of an explainable e-commerce fake review index: An attribute analytics approach
Instruments of corporate risk and reputation assessment tools are quintessentially
developed on structured quantitative data linked to financial ratios and macroeconomics. An …
developed on structured quantitative data linked to financial ratios and macroeconomics. An …
Towards equitable AI in oncology
VS Viswanathan, V Parmar… - Nature Reviews Clinical …, 2024 - nature.com
Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …
considerable potential to improve early cancer detection and risk assessment, and to enable …
XAI-ADS: An Explainable Artificial Intelligence Framework for Enhancing Anomaly Detection in Autonomous Driving Systems
S Nazat, L Li, M Abdallah - IEEE Access, 2024 - ieeexplore.ieee.org
The advent of autonomous driving systems has given rise to pressing cybersecurity issues
regarding the vulnerability of vehicular ad hoc networks (VANETs) to potential attacks. This …
regarding the vulnerability of vehicular ad hoc networks (VANETs) to potential attacks. This …
[PDF][PDF] Intelligent financial system: how AI is transforming finance
At the core of the financial system is the processing and aggregation of vast amounts of
information into price signals that coordinate participants in the economy. Throughout …
information into price signals that coordinate participants in the economy. Throughout …
[HTML][HTML] AI Quality Standards in Health Care: Rapid Umbrella Review
CE Kuziemsky, D Chrimes, S Minshall… - Journal of Medical …, 2024 - jmir.org
Background In recent years, there has been an upwelling of artificial intelligence (AI) studies
in the health care literature. During this period, there has been an increasing number of …
in the health care literature. During this period, there has been an increasing number of …