Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation

T Ali, S Ahmed, M Aslam - Antibiotics, 2023 - mdpi.com
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …

The application of artificial intelligence in the diagnosis and drug resistance prediction of pulmonary tuberculosis

S Liang, J Ma, G Wang, J Shao, J Li, H Deng… - Frontiers in …, 2022 - frontiersin.org
With the increasing incidence and mortality of pulmonary tuberculosis, in addition to tough
and controversial disease management, time-wasting and resource-limited conventional …

Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine

I Zafar, S Anwar, W Yousaf, FU Nisa, T Kausar… - … Signal Processing and …, 2023 - Elsevier
The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …

Role of artificial intelligence in early diagnosis and treatment of infectious diseases

V Srivastava, R Kumar, MY Wani, K Robinson… - Infectious …, 2025 - Taylor & Francis
Infectious diseases remain a global health challenge, necessitating innovative approaches
for their early diagnosis and effective treatment. Artificial Intelligence (AI) has emerged as a …

Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models

S Iftikhar, AM Karim, AM Karim, MA Karim… - Journal of …, 2023 - Elsevier
Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of
worldwide concern that seriously threaten public health and ecosystems. Machine learning …

Harnessing of artificial intelligence for the diagnosis and prevention of hospital-acquired infections: a systematic review

B Baddal, F Taner, D Uzun Ozsahin - Diagnostics, 2024 - mdpi.com
Healthcare-associated infections (HAIs) are the most common adverse events in healthcare
and constitute a major global public health concern. Surveillance represents the foundation …

Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities

JM Tshimula, M Kalengayi, D Makenga… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) is revolutionizing various fields, including public health
surveillance. In Africa, where health systems frequently encounter challenges such as …

[HTML][HTML] Antibiotic resistance genes prevalence prediction and interpretation in beaches affected by urban wastewater discharge

Q Zahra, J Gul, AR Shah, M Yasir, AM Karim - One Health, 2023 - Elsevier
Background The annual death toll of over 1.2 million worldwide is attributed to infections
caused by resistant bacteria, driven by the significant impact of antibiotic misuse and …

Integrative genomics would strengthen AMR understanding through ONE health approach

CSC Liu, R Pandey - Heliyon, 2024 - cell.com
Emergence of drug-induced antimicrobial resistance (AMR) forms a crippling health and
economic crisis worldwide, causing high mortality from otherwise treatable diseases and …

Artificial intelligence in predicting pathogenic microorganisms' antimicrobial resistance: challenges, progress, and prospects

Y Li, X Cui, X Yang, G Liu, J Zhang - Frontiers in Cellular and Infection …, 2024 - frontiersin.org
The issue of antimicrobial resistance (AMR) in pathogenic microorganisms has emerged as
a global public health crisis, posing a significant threat to the modern healthcare system. The …