What is the impact of ChatGPT on education? A rapid review of the literature

CK Lo - Education Sciences, 2023 - mdpi.com
An artificial intelligence-based chatbot, ChatGPT, was launched in November 2022 and is
capable of generating cohesive and informative human-like responses to user input. This …

Randomized clinical trials of machine learning interventions in health care: a systematic review

D Plana, DL Shung, AA Grimshaw, A Saraf… - JAMA network …, 2022 - jamanetwork.com
Importance Despite the potential of machine learning to improve multiple aspects of patient
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …

Regulating ChatGPT and other large generative AI models

P Hacker, A Engel, M Mauer - Proceedings of the 2023 ACM Conference …, 2023 - dl.acm.org
Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are
rapidly transforming the way we communicate, illustrate, and create. However, AI regulation …

[HTML][HTML] AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat

A Qarajeh, S Tangpanithandee, C Thongprayoon… - Clinics and …, 2023 - mdpi.com
Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent
complications such as hyperkalemia and hyperphosphatemia. A comprehensive …

[HTML][HTML] Unleashing the global potential of public health: a framework for future pandemic response

A Khorram-Manesh, K Goniewicz… - Journal of Infection and …, 2023 - Elsevier
Public health emergencies, especially pandemics, need to be managed globally, and on
several levels, emphasizing the importance of leadership, communication, and …

Large language models streamline automated machine learning for clinical studies

S Tayebi Arasteh, T Han, M Lotfinia, C Kuhl… - Nature …, 2024 - nature.com
A knowledge gap persists between machine learning (ML) developers (eg, data scientists)
and practitioners (eg, clinicians), hampering the full utilization of ML for clinical data …

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations

Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

Modern methods of diagnostics and treatment of neurodegenerative diseases and depression

N Shusharina, D Yukhnenko, S Botman, V Sapunov… - Diagnostics, 2023 - mdpi.com
This paper discusses the promising areas of research into machine learning applications for
the prevention and correction of neurodegenerative and depressive disorders. These two …

Performance of ChatGPT as an AI-assisted decision support tool in medicine: a proof-of-concept study for interpreting symptoms and management of common cardiac …

RE Harskamp, L De Clercq - Acta Cardiologica, 2024 - Taylor & Francis
Background It is thought that ChatGPT, an advanced language model developed by OpenAI,
may in the future serve as an AI-assisted decision support tool in medicine. Objective To …

[HTML][HTML] Applications of artificial intelligence to obesity research: scoping review of methodologies

R An, J Shen, Y Xiao - Journal of Medical Internet Research, 2022 - jmir.org
Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …