[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …
[HTML][HTML] Applications of deep learning in trauma radiology: a narrative review
CT Cheng, CH Ooyang, CH Liao, SC Kang - Biomedical Journal, 2025 - Elsevier
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
injuries requiring intervention. Deep learning (DL) has become mainstream in medical …
An advanced deep learning framework for multi-class diagnosis from chest X-ray images
Chest X-ray imaging plays a vital and indispensable role in the diagnosis of lungs, enabling
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …
YOLOv8's advancements in tuberculosis identification from chest images
Tuberculosis (TB) is a chronic and pathogenic disease that leads to life-threatening
situations like death. Many people have been affected by TB owing to inaccuracy, late …
situations like death. Many people have been affected by TB owing to inaccuracy, late …
Artificial intelligence in tuberculosis: a new ally in disease control
M McClean, TC Panciu, C Lange, R Duarte… - Breathe, 2024 - publications.ersnet.org
The challenges to effective tuberculosis (TB) disease control are considerable, and the
current global targets for reductions in disease burden seem unattainable. The combination …
current global targets for reductions in disease burden seem unattainable. The combination …
An efficient deep learning network with orthogonal softmax layer for automatic detection of tuberculosis
PK Das, S Sreevatsav, A Abraham - Engineering Applications of Artificial …, 2024 - Elsevier
Tuberculosis (TB) is a persistent bacterial lung infection that affects the lungs severely. It is
one of the fatal diseases among the top ten leading causes of death. Thus, early and …
one of the fatal diseases among the top ten leading causes of death. Thus, early and …
A Novel Convolutional Neural Network Model for Automatic Speaker Identification From Speech Signals
Since voice communication is the most frequent form of human communication, it is
necessary to identify each speaker in a discussion. The development of advanced computer …
necessary to identify each speaker in a discussion. The development of advanced computer …
Visibility Enhancement of Lesion Regions in Chest X-ray Images with Image Fidelity Preservation
R Ishikawa, T Yuzawa, T Fukiage, M Kagesawa… - IEEE …, 2025 - ieeexplore.ieee.org
X-ray image enhancement can aid a physician's diagnosis by improving lesion visibility. This
study proposes a chest X-ray image enhancement framework for enhancing lesion visibility …
study proposes a chest X-ray image enhancement framework for enhancing lesion visibility …
TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network
Tuberculosis (TB) is an infectious disease caused by Mycobacterium. It primarily impacts the
lungs but can also endanger other organs, such as the renal system, spine, and brain. When …
lungs but can also endanger other organs, such as the renal system, spine, and brain. When …
Explainable Model of Fusion Network with Enhanced Optimization Approach for Tuberculosis Diagnosis
Tuberculosis, caused by Mycobacterium tuberculosis, is a lung-focused infectious disease
with a profound impact on the respiratory system. Although advancements in healthcare …
with a profound impact on the respiratory system. Although advancements in healthcare …