[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 …
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 …
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
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 …
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 …
(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 …
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 …
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 …
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
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 …
However, the fear of bleeds has been identified as barriers to participating physical activity …
Machine learning-based Cerebral Venous Thrombosis diagnosis with clinical data
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 …
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) …
beginning to be used in life sciences and in healthcare. AI and machine learning (ML) …