An overview of oxidative stress, neuroinflammation, and neurodegenerative diseases

DM Teleanu, AG Niculescu, II Lungu, CI Radu… - International journal of …, 2022 - mdpi.com
Oxidative stress has been linked with a variety of diseases, being involved in the debut
and/or progress of several neurodegenerative disorders. This review intends to summarize …

Neurotransmitters—key factors in neurological and neurodegenerative disorders of the central nervous system

RI Teleanu, AG Niculescu, E Roza… - International journal of …, 2022 - mdpi.com
Neurotransmitters are molecules that amplify, transmit, and convert signals in cells, having
an essential role in information transmission throughout the nervous system. Hundreds of …

[HTML][HTML] Artificial intelligence in hematological diagnostics: Game changer or gadget?

W Walter, C Pohlkamp, M Meggendorfer, N Nadarajah… - Blood Reviews, 2023 - Elsevier
The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

Evaluating the efficacy of ChatGPT in navigating the Spanish medical residency entrance examination (MIR): Promising horizons for AI in clinical medicine

F Guillen-Grima, S Guillen-Aguinaga… - Clinics and …, 2023 - mdpi.com
The rapid progress in artificial intelligence, machine learning, and natural language
processing has led to increasingly sophisticated large language models (LLMs) for use in …

An updated overview of cyclodextrin-based drug delivery systems for cancer therapy

DN Păduraru, AG Niculescu, A Bolocan, O Andronic… - Pharmaceutics, 2022 - mdpi.com
Encompassing a group of complex and heterogeneous diseases, cancer continues to be a
challenge for patients and healthcare systems worldwide. Thus, it is of vital importance to …

Perceptions of data set experts on important characteristics of health data sets ready for machine learning: a qualitative study

MY Ng, A Youssef, AS Miner, D Sarellano… - JAMA Network …, 2023 - jamanetwork.com
Importance The lack of data quality frameworks to guide the development of artificial
intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …

[HTML][HTML] Artificial intelligence in sickle disease

AA Elsabagh, M Elhadary, B Elsayed, AM Elshoeibi… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …

A survey on artificial intelligence in pulmonary imaging

PK Saha, SA Nadeem… - … Reviews: Data Mining …, 2023 - Wiley Online Library
Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …

The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature

D Gala, H Behl, M Shah, AN Makaryus - Healthcare, 2024 - mdpi.com
Cardiovascular diseases exert a significant burden on the healthcare system worldwide.
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …

[HTML][HTML] Smart smile: revolutionizing dentistry with artificial intelligence

A Dhopte, H Bagde - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has emerged as a transformative technology in various industries,
and its potential in dentistry is gaining significant attention. This abstract explores the future …