Prediction of the treatment response and local failure of patients with brain metastasis treated with stereotactic radiosurgery using machine learning: A systematic …
MA Habibi, F Rashidi, A Habibzadeh, E Mehrtabar… - Neurosurgical …, 2024 - Springer
Background Stereotactic radiosurgery (SRS) effectively treats brain metastases. It can
provide local control, symptom relief, and improved survival rates, but it poses challenges in …
provide local control, symptom relief, and improved survival rates, but it poses challenges in …
Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
VM Tsitou, D Rallis, M Tsekova… - Biotechnology & …, 2024 - Taylor & Francis
In this mini-review, we delve into the transformative impact of artificial intelligence (AI) and
machine learning (ML) in the field of microbiology. The paper provides a brief overview of …
machine learning (ML) in the field of microbiology. The paper provides a brief overview of …
Introducing an Artificial Neural Network for Virtually Increasing the Sample Size of Bioequivalence Studies
D Papadopoulos, VD Karalis - Applied Sciences, 2024 - mdpi.com
Sample size is a key factor in bioequivalence and clinical trials. An appropriately large
sample is necessary to gain valuable insights into a designated population. However, large …
sample is necessary to gain valuable insights into a designated population. However, large …
Machine Learning in Allergic Contact Dermatitis: Identifying (Dis) similarities between Polysensitized and Monosensitized Patients
Background: Allergic contact dermatitis (ACD) is a delayed hypersensitivity reaction
occurring in sensitized individuals due to exposure to allergens. Polysensitization, defined …
occurring in sensitized individuals due to exposure to allergens. Polysensitization, defined …
Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations
BACKGROUND: The emergence of deep learning (DL) techniques has revolutionized tumor
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
[HTML][HTML] Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
To create novel treatments and treat complex diseases, the pharmaceutical sector is
essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor …
essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor …
[HTML][HTML] A Comprehensive Review of the Diagnostic Landscape of Endometriosis: Assessing Tools, Uncovering Strengths, and Acknowledging Limitations
KS Dantkale, M Agrawal - Cureus, 2024 - ncbi.nlm.nih.gov
Endometriosis is a prevalent yet often underdiagnosed condition characterized by the
presence of endometrial-like tissue outside the uterus, leading to significant morbidity and …
presence of endometrial-like tissue outside the uterus, leading to significant morbidity and …
Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes
R Guerra - Italian Journal of Medicine, 2024 - italjmed.org
In hospital settings, effective risk management is critical to ensuring patient safety, regulatory
compliance, and operational effectiveness. Conventional approaches to risk assessment …
compliance, and operational effectiveness. Conventional approaches to risk assessment …
[PDF][PDF] Artificial intelligence advances in cardiovascular imaging
H Yektaei, A Salari, F Kazemi Lichaee - J Clin Images Med Case Rep, 2024 - jcimcr.org
Advances in medical imaging and Artificial Intelligence (AI) have ushered in an era of
possibilities in healthcare. The number of imaging studies is naturally increasing, and so …
possibilities in healthcare. The number of imaging studies is naturally increasing, and so …