Application of network methods for understanding mental disorders: pitfalls and promise

S Guloksuz, LK Pries, J Van Os - Psychological medicine, 2017 - cambridge.org
Galvanized with the availability of sophisticated statistical techniques and large datasets,
network medicine has emerged as an active area of investigation. Following this trend …

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

L Seyyed-Kalantari, H Zhang, MBA McDermott… - Nature medicine, 2021 - nature.com
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in
medical imaging applications. However, there is growing concern that such AI systems may …

Pulmonary tuberculosis and risk of lung cancer: a systematic review and meta-analysis

SY Hwang, JY Kim, HS Lee, S Lee, D Kim… - Journal of Clinical …, 2022 - mdpi.com
Pulmonary tuberculosis (TB) is a known risk factor for lung cancer. However, a detailed
analysis of lung cancer type, age, sex, smoking, and TB burden associated with geographic …

[HTML][HTML] Cytokine storm in tuberculosis and IL-6 involvement

FG Boni, I Hamdi, LM Koundi, K Shrestha… - Infection, Genetics and …, 2022 - Elsevier
Tuberculosis is probably the most seasoned illness of the humanity. Intricacies or
subsequent death emerging from these infections are frequently connected with cytokine …

Links between infections, lung cancer, and the immune system

L Budisan, O Zanoaga, C Braicu, R Pirlog… - International journal of …, 2021 - mdpi.com
Lung cancer is the leading disease of cancer-related deaths worldwide. Since the beginning
of the 20th century, various infectious agents associated with lung cancer have been …

[HTML][HTML] Feasibility of lung cancer screening in developing countries: challenges, opportunities and way forward

A Shankar, D Saini, A Dubey, S Roy… - … lung cancer research, 2019 - ncbi.nlm.nih.gov
Lung cancer is the leading cause of all cancer deaths worldwide, comprising 18.4% of all
cancer deaths. Low-dose computed tomography (LDCT) has shown mortality benefit in …

Integration of PET/CT radiomics and semantic features for differentiation between active pulmonary tuberculosis and lung cancer

D Du, J Gu, X Chen, W Lv, Q Feng, A Rahmim… - Molecular imaging and …, 2021 - Springer
Purpose We aim to accurately differentiate between active pulmonary tuberculosis (TB) and
lung cancer (LC) based on radiomics and semantic features as extracted from pre-treatment …

[HTML][HTML] Current trends and emerging diagnostic techniques for lung cancer

B Prabhakar, P Shende, S Augustine - Biomedicine & Pharmacotherapy, 2018 - Elsevier
Cancer is one of most fatal forms of disease with rapid, abnormal and uncontrolled division
of cells which spreads into different organs in the body. The primary aim of this review is to …

The bidirectional relationship between pulmonary tuberculosis and lung cancer

M Preda, BC Tănase, DL Zob, AS Gheorghe… - International Journal of …, 2023 - mdpi.com
Lung cancer and pulmonary tuberculosis are two significant public health problems that
continue to take millions of lives each year. They may have similar symptoms and, in some …

[HTML][HTML] Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

EN Cui, T Yu, SJ Shang, XY Wang, YL Jin… - World journal of …, 2020 - ncbi.nlm.nih.gov
BACKGROUND Pulmonary tuberculosis (TB) and lung cancer (LC) are common diseases
with a high incidence and similar symptoms, which may be misdiagnosed by radiologists …