[HTML][HTML] Artificial intelligence and machine learning based intervention in medical infrastructure: a review and future trends

K Kumar, P Kumar, D Deb, ML Unguresan, V Muresan - Healthcare, 2023 - mdpi.com
People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …

[HTML][HTML] Sybil in the haystack: A comprehensive review of blockchain consensus mechanisms in search of strong Sybil attack resistance

M Platt, P McBurney - Algorithms, 2023 - mdpi.com
Consensus algorithms are applied in the context of distributed computer systems to improve
their fault tolerance. The explosive development of distributed ledger technology following …

Effective factors for the adoption of IoT applications in nursing care: A theoretical framework for smart healthcare

M Al-Rawashdeh, P Keikhosrokiani, B Belaton… - Journal of Building …, 2024 - Elsevier
The utilization of the Internet of Things (IoT) presents a promising opportunity for the
healthcare industry which is continuously expanding and persistently aspiring to enhance …

[HTML][HTML] Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing

A Hannan, SM Cheema, IM Pires - Biomedical Signal Processing and …, 2024 - Elsevier
Every year, the percentage of people affected by cardiovascular diseases increases
drastically. Out of them, a heart attack is the most prominent and painful disease. According …

[HTML][HTML] Redefining healthcare with artificial intelligence (AI): the contributions of ChatGPT, Gemini, and Co-pilot

A Alhur - Cureus, 2024 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency,
characterized by the emergence of sophisticated language models such as ChatGPT …

Fate of Sniff-the-Diseases Through Nanomaterials-Supported Optical Biochip Sensors

BA Taha, V Chaudhary, S Rustagi… - ECS Journal of Solid …, 2024 - iopscience.iop.org
Early diagnosis through noninvasive tools is a cornerstone in the realm of personalized and
medical healthcare, averting direct/indirect infection transmission and directly influencing …

[HTML][HTML] Advancements in Understanding and Classifying Chronic Orofacial Pain: Key Insights from Biopsychosocial Models and International Classifications (ICHD-3 …

F Canfora, G Ottaviani, E Calabria, G Pecoraro, S Leuci… - Biomedicines, 2023 - mdpi.com
In exploring chronic orofacial pain (COFP), this review highlights its global impact on life
quality and critiques current diagnostic systems, including the ICD-11, ICOP, and ICHD-3, for …

[HTML][HTML] Transformative frontiers: a comprehensive review of emerging technologies in modern healthcare

S Yadav - Cureus, 2024 - ncbi.nlm.nih.gov
The rapid evolution of emerging technologies in healthcare is reshaping the field of medical
practices and patient outcomes, ushering in an era of unprecedented innovation. This …

Analysis of the perception of health professionals regarding the incorporation of emerging technologies in their practice

MS Infantes, JMS Soto, MAA Montalvo… - Salud, Ciencia y …, 2023 - revista.saludcyt.ar
Introduction: Healthcare is currently in the midst of a technology-driven revolution. Emerging
technologies (ETs) are disrupting the practice of healthcare professionals in ways that once …

Advances in Artificial Intelligence in Drug Delivery and Development: A Comprehensive Review

AD Gholap, MJ Uddin, M Faiyazuddin, A Omri… - Computers in Biology …, 2024 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …