[HTML][HTML] Artificial intelligence and machine learning overview in pathology & laboratory medicine: A general review of data preprocessing and basic supervised …

S Albahra, T Gorbett, S Robertson, G D'Aleo… - Seminars in Diagnostic …, 2023 - Elsevier
Abstract Machine learning (ML) is becoming an integral aspect of several domains in
medicine. Yet, most pathologists and laboratory professionals remain unfamiliar with such …

Common statistical concepts in the supervised machine learning arena

HH Rashidi, S Albahra, S Robertson, NK Tran… - Frontiers in …, 2023 - frontiersin.org
One of the core elements of Machine Learning (ML) is statistics and its embedded
foundational rules and without its appropriate integration, ML as we know would not exist …

[HTML][HTML] The ChatGPT conundrum: Human-generated scientific manuscripts misidentified as AI creations by AI text detection tool

HH Rashidi, BD Fennell, S Albahra, B Hu… - Journal of Pathology …, 2023 - Elsevier
AI Chat Bots such as ChatGPT are revolutionizing our AI capabilities, especially in text
generation, to help expedite many tasks, but they introduce new dilemmas. The detection of …

[HTML][HTML] Venous thromboembolism in the era of machine learning and artificial intelligence in medicine

MR Gil, J Pantanowitz, HH Rashidi - Thrombosis Research, 2024 - Elsevier
In this review, we embark on a comprehensive exploration of venous thromboembolism
(VTE) in the context of medical history and its current practice within medicine. We delve into …

Advances in Platelet-Dysfunction Diagnostic Technologies

I Yoon, JH Han, HJ Jeon - Biomolecules, 2024 - mdpi.com
The crucial role of platelets in hemostasis and their broad implications under various
physiological conditions underscore the importance of accurate platelet-function testing …

Harmonizing the mind: music education, education neurosciences, and frustration tolerance enhance creativity in Thailand

P Zhou - Eurasian Journal of Educational Research, 2023 - ejer.com.tr
Objective: Thailand, known for its rich musical heritage and diverse culture, stands to gain
significantly from these insights." Mor Lam" and" Luk Thung" are examples of traditional …

Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation

Y Yang, C Ai, Z Ji, W Chen, Y Song, J Zeng… - International Journal of …, 2024 - Elsevier
Background With increasing antibiotic resistance and regulation, the issue of antibiotic
combination has been emphasised. However, antibiotic combination prescribing lacks a …

Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A

D Ai, C Cui, Y Tang, Y Wang, N Zhang, C Zhang… - Thrombosis …, 2023 - Elsevier
Background Physical activity is a crucial part of an active lifestyle for haemophiliac children.
However, the fear of bleeds has been identified as barriers to participating physical activity …

Machine learning-based Cerebral Venous Thrombosis diagnosis with clinical data

A Namjoo-Moghadam, V Abedi, V Avula… - Journal of Stroke and …, 2024 - Elsevier
Abstract Objectives Cerebral Venous Thrombosis (CVT) poses diagnostic challenges due to
the variability in disease course and symptoms. The prognosis of CVT relies on early …

Artificial intelligence and machine learning in hemostasis and thrombosis

P Gresele - Bleeding, Thrombosis and Vascular Biology, 2023 - btvb.org
Artificial intelligence (AI) is rapidly becoming more important in our daily lives, and it's
beginning to be used in life sciences and in healthcare. AI and machine learning (ML) …