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

A Khorram-Manesh, K Goniewicz… - Journal of Infection and …, 2024 - Elsevier
Public health emergencies, especially pandemics, need to be managed globally, and on
several levels, emphasizing the importance of leadership, communication, and …

Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence

H Cheng, H Xu, B Peng, X Huang, Y Hu… - NPJ Precision …, 2024 - nature.com
Real-time and accurate guidance for tumor resection has long been anticipated by
surgeons. In the past decade, the flourishing material science has made impressive …

[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 …

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 …

Harnessing the Potential of Artificial Intelligence in Managing Viral Hepatitis

G Ali, MM Mijwil, I Adamopoulos… - … Journal of Big Data, 2024 - mesopotamian.press
Viral hepatitis continues to be a serious global health concern, impacting millions of people,
putting a strain on healthcare systems across the world, and causing significant morbidity …

[HTML][HTML] The challenges of deep learning in artificial intelligence and autonomous actions in surgery: a literature review

H Taher, V Grasso, S Tawfik… - Artificial Intelligence …, 2022 - oaepublish.com
Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in
surgery. This article reviews important terms used in machine learning and the challenges of …

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) …