AIMC Topic: Adult

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[A Case of Juvenile AFP-Producing Gastric Cancer with Virchow Lymph Node Metastasis Achieved Long-Term Survival with Multimodal Therapy].

Gan to kagaku ryoho. Cancer & chemotherapy
A 25-year-old male received palliative total gastrectomy plus D1 dissection plus Roux-en-Y reconstruction for hemorrhagic gastric cancer with left Virchow lymph node metastasis in 2013. The final diagnosis was Type 2, pT4a(se), pap>tub2 >hepatoid ade...

Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

The Lancet. Digital health
BACKGROUND: Machine learning and deep learning models have been increasingly used to predict long-term disease progression in patients with chronic obstructive pulmonary disease (COPD). We aimed to summarise the performance of such prognostic models ...

Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients.

Polski przeglad chirurgiczny
<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology with vast potential for use in several fields of medicine. However, little is known about the application of AI in treatment decisions for patients with...

From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies.

Briefings in bioinformatics
Idiopathic inflammatory myopathies (IIMs) are a heterogeneous group of muscle disorders including adult and juvenile dermatomyositis, polymyositis, immune-mediated necrotising myopathy and sporadic inclusion body myositis, all of which present with v...

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to creating robust pediatri...

Robust Multi-View Fracture Detection in the Presence of Other Abnormalities Using HAMIL-Net.

Military medicine
INTRODUCTION: Foot and ankle fractures are the most common military health problem. Automated diagnosis can save time and personnel. It is crucial to distinguish fractures not only from normal healthy cases, but also robust against the presence of ot...

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

The Journal of the Association of Physicians of India
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : The study was a randomized, single-blind, placebo-controlled trial with a total sample size of 44 pati...

Artificial intelligence analysis of over a million Chinese men and women reveals level of dark circle in the facial skin aging process.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
BACKGROUND: To better compare the progression of dark circles and the aging process in Chinese skin. A total of 100 589 Chinese males and 1 838 997 Chinese females aged 18 to 85, without facial skin conditions, and who had access to a smartphone with...

Bone Age Estimation and Prediction of Final Adult Height Using Deep Learning.

Yonsei medical journal
PURPOSE: The appropriate evaluation of height and accurate estimation of bone age are crucial for proper assessment of the growth status of a child. We developed a bone age estimation program using a deep learning algorithm and established a model to...

Understanding and Use of Artificial Intelligence Among Doctors in a University Hospital in Morocco.

Studies in health technology and informatics
INTRODUCTION: Research and development in artificial intelligence (AI) has increased dramatically over the past decade, with all areas of life being affected and particularly the medical field. It is with this in mind that this study focused on the p...