Research
AI/ML in Healthcare
AI in Healthcare: Revolutionizing Patient Care with Predictive Analytics and Decision Support Systems AI 2024
JGC Ramírez - Journal of Artificial Intelligence General science (JAIGS …, 2024 - jaigs.org This article explores the transformative impact of Artificial Intelligence (AI) in healthcare, with a specific focus on how predictive analytics and decision support systems are …
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective AI 2024
M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges AI 2024
T Shaik, X Tao, N Higgins, L Li… - … : Data Mining and …, 2023 - Wiley Online Library The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to …
A Sharma, R Kumar, G Yadav, P Garg - Cancer Letters, 2023 - Elsevier Artificial intelligence (AI) algorithms and their application to disease detection and decision support for healthcare professions have greatly evolved in the recent decade. AI has been …
Machine learning for dementia prediction: a systematic review and future research directions AI 2024
A Javeed, AL Dallora, JS Berglund, A Ali, L Ali… - Journal of medical …, 2023 - Springer Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully provided automated solutions to numerous real-world problems. Healthcare is one of the …
E Zhu, Z Chen, P Ai, J Wang, M Zhu, Z Xu, J Liu… - Frontiers in …, 2023 - frontiersin.org Background Stroke is an acute disorder and dysfunction of the focal neurological system that has long been recognized as one of the leading causes of death and severe disability in …
E Dritsas, M Trigka - Computers, 2023 - mdpi.com The liver constitutes the largest gland in the human body and performs many different functions. It processes what a person eats and drinks and converts food into nutrients that …
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data AI 2024
R Huang, J Liu, TK Wan, D Siriwanna, YMP Woo… - Computers in Biology …, 2023 - Elsevier For severe cerebrovascular diseases such as stroke, the prediction of short-term mortality of patients has tremendous medical significance. In this study, we combined machine learning …
N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial intelligence (AI) in the …
A Al Kuwaiti, K Nazer, A Al-Reedy, S Al-Shehri… - Journal of personalized …, 2023 - mdpi.com Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following …
Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses-a Comprehensive Review of AI's Impact on Medical Diagnosis AI 2024
AY Gill, A Saeed, S Rasool, A Husnain… - Journal of World …, 2023 - jws.rivierapublishing.id The integration of machine learning into healthcare heralds a new era where the convergence of technology and human compassion reshapes the very essence of healing …
DG Poalelungi, CL Musat, A Fulga, M Neagu… - Journal of personalized …, 2023 - mdpi.com Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can …
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion AI 2024
AS Albahri, AM Duhaim, MA Fadhel, A Alnoor… - Information …, 2023 - Elsevier In the last few years, the trend in health care of embracing artificial intelligence (AI) has dramatically changed the medical landscape. Medical centres have adopted AI applications …
Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot AI 2024
L Caruccio, S Cirillo, G Polese, G Solimando… - Expert Systems with …, 2024 - Elsevier Intelligent diagnosis processes rely on Artificial Intelligence (AI) techniques to provide possible diagnoses by analyzing patient data and medical information. To make accurate …
A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease AI 2024
R Sawhney, A Malik, S Sharma, V Narayan - Decision Analytics Journal, 2023 - Elsevier Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases influencing people on a larger that remains dormant until irreversible damage has been …
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories AI 2024
A Carobene, F Cabitza, S Bernardini… - Clinical Chemistry and …, 2023 - degruyter.com Objectives The field of artificial intelligence (AI) has grown in the past 10 years. Despite the crucial role of laboratory diagnostics in clinical decision-making, we found that the majority …
Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach AI 2024
B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis Cancer is a leading cause of morbidity and mortality worldwide. While progress has been made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study AI 2024
VA Arasu, LA Habel, NS Achacoso, DSM Buist… - Radiology, 2023 - pubs.rsna.org Background Although several clinical breast cancer risk models are used to guide screening and prevention, they have only moderate discrimination. Purpose To compare selected …
Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the … Reading list AI 2024
J Cadamuro, F Cabitza, Z Debeljak… - Clinical Chemistry and …, 2023 - degruyter.com Objectives ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed …
