Results 51 to 60 of about 44,098 (253)

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source

Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients

Pneumonia
Background The Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used
Evangelos Kaimakamis, Serafeim Kotoulas, Myrto Tzimou, Christos Karachristos, Chrysavgi Giannaki, Vassileios Kilintzis, Leandros Stefanopoulos, Evangelos Chatzis, Nikolaos Beredimas, Bruno Rocha, Diogo Pessoa, Rui Pedro Paiva, Nicos Maglaveras, Militsa Bitzani   +13 more
doaj   +1 more source

Classification of Lung Sounds with Deep Learning

Gazi Üniversitesi Fen Bilimleri Dergisi, 2020
Lung diseases are among the diseases that seriously threaten human health, and many deaths today are caused by lung diseases. Thanks to the lung sounds, important inferences can be made about lung diseases.
Mehmet Bilal ER
doaj   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

Frontiers in Bioengineering and Biotechnology
IntroductionIn recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease diagnosis.MethodsThis study presents a ...
Weiwei Zhang, Xinyu Li, Qiao Liu, Xiangyang Zheng, Yisu Ge, Xiaotian Pan, Xiaotian Pan, Yu Zhou   +7 more
doaj   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Classification and Recognition of Lung Sounds Using Artificial Intelligence and Machine Learning: A Literature Review

Big Data and Cognitive Computing
This review explores the latest advances in artificial intelligence (AI) and machine learning (ML) for the identification and classification of lung sounds.
Xiaoran Xu, Ravi Sankar
doaj   +1 more source

Wearing surgical face mask has no significant impact on auscultation assessment [PDF]

PeerJ
Objective During the COVID-19 pandemic, universal mask-wearing became one of the main public health interventions. Because of this, most physical examinations, including lung auscultation, were done while patients were wearing surgical face masks.
Ivana Folnožić, Marija Gomerčić Palčić, Matilda Sabljak, Ena Vučak, Luka Vrbanić, Marija Mandić Perić, Fanika Mrsić, Aljoša Šikić, Ivan Ivanovski   +8 more
doaj   +2 more sources

POEMS Syndrome: 2026 Update on Diagnosis, Risk‐Stratification, and Management

American Journal of Hematology, EarlyView.
ABSTRACT Disease Overview POEMS syndrome is a life‐threatening syndrome due to an underlying plasma cell neoplasm. The major criteria for the syndrome are polyneuropathy, clonal plasma cell disorder (PCD), sclerotic bone lesions, elevated vascular endothelial growth factor, and the presence of Castleman disease.
Angela Dispenzieri
wiley   +1 more source

Intelligent wearable devices with audio collection capabilities to assess chronic obstructive pulmonary disease severity

Digital Health
Background Intelligent wearable devices have potential for chronic obstructive pulmonary disease (COPD) monitoring, but the effectiveness of combining cough and blowing sounds for disease assessment is unclear.
Chunbo Zhang, Kunyao Yu, Zhe Jin, Yingcong Bao, Cheng Zhang, Jiping Liao, Guangfa Wang   +6 more
doaj   +1 more source