AIMC Topic: Humans

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Artificial intelligence-based multi-modal multi-tasks analysis reveals tumor molecular heterogeneity, predicts preoperative lymph node metastasis and prognosis in papillary thyroid carcinoma: a retrospective study.

International journal of surgery (London, England)
BACKGROUND: Papillary thyroid carcinoma (PTC) is the predominant form of thyroid cancer globally, especially when lymph node metastasis (LNM) occurs. Molecular heterogeneity, driven by genetic alterations and tumor microenvironment components, contri...

Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

International journal of surgery (London, England)
BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early detection and treatment are crucial for improving outcomes and reducing mortality rates. Nonetheless, clinical tools for predicting sepsis among patien...

Microbial perspective of multidisciplinary collaborative weight management approach: may serve as a key target for weight loss.

Gut microbes
Changes in the gut microbiota are associated with obesity and may influence weight loss. We are currently implementing a sustained multidisciplinary collaborative weight management (MCWM) approach to weight loss. We report significant improvements in...

Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox.

European radiology
OBJECTIVES: We report our experience implementing an algorithm for the detection of large vessel occlusion (LVO) for suspected stroke in the emergency setting, including its performance, and offer an explanation as to why it was poorly received by ra...

Identification of a gene score related to antigen processing and presentation machinery for predicting prognosis in head and neck squamous cell carcinoma and its potential implications for immunotherapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: Despite its crucial role in immune surveillance and cell survival of tumors, the significance of MHC antigen processing and presentation machinery (APM) is still not fully understood in head and neck squamous cell carcinoma (HNSCC). We so...

Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.

European radiology
OBJECTIVE: This study aims to assess and compare two state-of-the-art deep learning approaches for segmenting four thoracic organs at riskĀ (OAR)-the esophagus, trachea, heart, and aorta-in CT images in the context of radiotherapy planning.

Predicting Discharge Destination From Inpatient Rehabilitation Using Machine Learning.

American journal of physical medicine & rehabilitation
Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discha...

[A national survey from the French Society of Pathology on research and application of artificial intelligence in pathology].

Annales de pathologie
The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its priority. The deployment of digital pathology and artificial intelligence fits perfectly into this framework. Therefore we evaluated the pathologist's inte...

Machine learning outperforms humans in microplastic characterization and reveals human labelling errors in FTIR data.

Journal of hazardous materials
Microplastics are ubiquitous and appear to be harmful, however, the full extent to which these inflict harm has not been fully elucidated. Analysing environmental sample data is challenging, as the complexity in real data makes both automated and man...

Radial SERS acquisition on coffee ring for Serum-based breast cancer diagnosis through Multilayer Perceptron.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The coffee-ring effect, involving spontaneous solute separation, has demonstrated promising potential in the context of patient serum analysis. In this study, an approach leveraging the coffee-ring-based analyte redistribution was developed for spect...