AIMC Topic: Humans

Clear Filters Showing 38311 to 38320 of 95995 articles

Biphasic burst and sustained transdermal delivery in vivo using an AI-optimized 3D-printed MN patch.

International journal of pharmaceutics
The objective of the present study was to fabricate microneedles for delivering lipophilic active ingredients (APIs) using digital light processing (DLP) printing technology and quality by design (QbD) supplemented by artificial intelligence (AI) alg...

The role of Society 5.0 in achieving sustainable development: a spherical fuzzy set approach.

Environmental science and pollution research international
Society 5.0 promotes the use of artificial intelligence in human life and the return of humanity to the center of the world. Society 5.0 seeks to achieve economic growth while overcoming social and environmental challenges, contributing to the welfar...

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial.

Korean journal of radiology
OBJECTIVE: It is unknown whether artificial intelligence-based computer-aided detection (AI-CAD) can enhance the accuracy of chest radiograph (CR) interpretation in real-world clinical practice. We aimed to compare the accuracy of CR interpretation a...

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases.

Pathology, research and practice
Infectious diseases still threaten the global community, especially in resource-limited countries. An accurate diagnosis is paramount to proper patient and public health management. Identification of many microbes still relies on manual microscopic e...

Extracting medication changes in clinical narratives using pre-trained language models.

Journal of biomedical informatics
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate...

Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients.

BMC bioinformatics
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model (CPH),...

Strategy for automatic ultrasound (US) probe positioning in robot-assisted ultrasound guided radiation therapy.

Physics in medicine and biology
. As part of image-guided radiotherapy, ultrasound-guided radiotherapy is currently already in use and under investigation for robot assisted systems Ipsen 2021. It promises a real-time tumor localization during irradiation (intrafractional) without ...

Artificial Neural Network-Assisted Classification of Hearing Prognosis of Sudden Sensorineural Hearing Loss With Vertigo.

IEEE journal of translational engineering in health and medicine
This study aimed to determine the impact on hearing prognosis of the coherent frequency with high magnitude-squared wavelet coherence (MSWC) in video head impulse test (vHIT) among patients with sudden sensorineural hearing loss with vertigo (SSNHLV)...

Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques.

IEEE journal of translational engineering in health and medicine
OBJECTIVE: Molecular subtyping is an important procedure for prognosis and targeted therapy of breast carcinoma, the most common type of malignancy affecting women. Immunohistochemistry (IHC) analysis is the widely accepted method for molecular subty...