Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions

A Sauerbrei, A Kerasidou, F Lucivero… - BMC Medical Informatics …, 2023 - Springer
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by
healthcare systems. This includes the freeing up of time for doctors and facilitating person …

[HTML][HTML] Artificial intelligence in medicine: today and tomorrow

G Briganti, O Le Moine - Frontiers in medicine, 2020 - frontiersin.org
Artificial intelligence-powered medical technologies are rapidly evolving into applicable
solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of …

[HTML][HTML] Ethical implications of chatbot utilization in nephrology

OA Garcia Valencia, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …

Examining the validity of ChatGPT in identifying relevant nephrology literature: findings and implications

S Suppadungsuk, C Thongprayoon… - Journal of Clinical …, 2023 - mdpi.com
Literature reviews are valuable for summarizing and evaluating the available evidence in
various medical fields, including nephrology. However, identifying and exploring the …

Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: a cross-sectional online survey

S Swed, H Alibrahim, NKH Elkalagi… - Frontiers in artificial …, 2022 - frontiersin.org
Artificial intelligence has been prevalent recently as its use in the medical field is noticed to
be increased. However, middle east countries like Syria are deficient in multiple AI …

Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis

L Ugga, T Perillo, R Cuocolo, A Stanzione, V Romeo… - Neuroradiology, 2021 - Springer
Purpose To systematically review and evaluate the methodological quality of studies using
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma …

Educating outpatients for bowel preparation before colonoscopy using conventional methods vs virtual reality videos plus conventional methods: a randomized clinical …

G Chen, Y Zhao, F Xie, W Shi, Y Yang… - JAMA network …, 2021 - jamanetwork.com
Importance Adequate bowel preparation is essential for diagnostic, screening, and
surveillance colonoscopy. Virtual reality (VR) has the characteristics of immersion …

AI applications in renal pathology

Y Huo, R Deng, Q Liu, AB Fogo, H Yang - Kidney international, 2021 - Elsevier
The explosive growth of artificial intelligence (AI) technologies, especially deep learning
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …

Recent advances on biomarkers of early and late kidney graft dysfunction

M Quaglia, G Merlotti, G Guglielmetti… - International journal of …, 2020 - mdpi.com
New biomarkers of early and late graft dysfunction are needed in renal transplant to improve
management of complications and prolong graft survival. A wide range of potential …