Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …
above certain limits. Over the last years, machine and deep learning techniques have been …
Artificial intelligence technologies and compassion in healthcare: A systematic sco** review
E Morrow, T Zidaru, F Ross, C Mason, KD Patel… - Frontiers in …, 2023 - frontiersin.org
Background Advances in artificial intelligence (AI) technologies, together with the availability
of big data in society, creates uncertainties about how these developments will affect …
of big data in society, creates uncertainties about how these developments will affect …
Salivary MicroRNA signature for diagnosis of endometriosis
Background: Endometriosis diagnosis constitutes a considerable economic burden for the
healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We …
healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We …
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Develo** new drug molecules to overcome …
development as intractable and hot research. Develo** new drug molecules to overcome …
Artificial intelligence: Machine learning approach for screening large database and drug discovery
Recent research in drug discovery dealing with many faces difficulties, including
development of new drugs during disease outbreak and drug resistance due to rapidly …
development of new drugs during disease outbreak and drug resistance due to rapidly …
Educating future physicians in artificial intelligence (AI): an integrative review and proposed changes
BACKGROUND As medicine and the delivery of healthcare enters the age of Artificial
Intelligence (AI), the need for competent human–machine interaction to aid clinical decisions …
Intelligence (AI), the need for competent human–machine interaction to aid clinical decisions …
[HTML][HTML] A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
With the rapid advancement and integration of Artificial Intelligence (AI) in medicine, the
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
need for new developments and accuracy in Machine Learning (ML) models and algorithms …
Investigating students' perceptions towards artificial intelligence in medical education
Implementing a reform in medical education requires students' awareness regarding the
importance of artificial intelligence (AI) in modern medical practice. The objective of this …
importance of artificial intelligence (AI) in modern medical practice. The objective of this …
Validation of a salivary miRNA signature of endometriosis—interim data
Background The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for
endometriosis in 2022 opened up new perspectives for early and noninvasive diagnosis of …
endometriosis in 2022 opened up new perspectives for early and noninvasive diagnosis of …
Machine learning algorithms as new screening approach for patients with endometriosis
Endometriosis—a systemic and chronic condition occurring in women of childbearing age—
is a highly enigmatic disease with unresolved questions. While multiple biomarkers …
is a highly enigmatic disease with unresolved questions. While multiple biomarkers …