AIMC Topic: Humans

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Identification of gene profiles related to the development of oral cancer using a deep learning technique.

BMC medical genomics
BACKGROUND: Oral cancer (OC) is a debilitating disease that can affect the quality of life of these patients adversely. Oral premalignant lesion patients have a high risk of developing OC. Therefore, identifying robust survival subgroups among them m...

A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
BACKGROUND: Cardiac shape modeling is a useful computational tool that has provided quantitative insights into the mechanisms underlying dysfunction in heart disease. The manual input and time required to make cardiac shape models, however, limits th...

ncDENSE: a novel computational method based on a deep learning framework for non-coding RNAs family prediction.

BMC bioinformatics
BACKGROUND: Although research on non-coding RNAs (ncRNAs) is a hot topic in life sciences, the functions of numerous ncRNAs remain unclear. In recent years, researchers have found that ncRNAs of the same family have similar functions, therefore, it i...

Intraoperative mean arterial pressure and acute kidney injury after robot-assisted laparoscopic prostatectomy: a retrospective study.

Scientific reports
Intraoperative hemodynamics can affect postoperative kidney function. We aimed to investigate the effect of intraoperative mean arterial pressure (MAP) as well as other risk factors on the occurrence of acute kidney injury (AKI) after robot-assisted ...

Deep learning augmented ECG analysis to identify biomarker-defined myocardial injury.

Scientific reports
Chest pain is a common clinical complaint for which myocardial injury is the primary concern and is associated with significant morbidity and mortality. To aid providers' decision-making, we aimed to analyze the electrocardiogram (ECG) using a deep c...

Molecular and functional imaging in cancer-targeted therapy: current applications and future directions.

Signal transduction and targeted therapy
Targeted anticancer drugs block cancer cell growth by interfering with specific signaling pathways vital to carcinogenesis and tumor growth rather than harming all rapidly dividing cells as in cytotoxic chemotherapy. The Response Evaluation Criteria ...

Artificial Intelligence Functionalities During the COVID-19 Pandemic.

Disaster medicine and public health preparedness
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led us to use virtual solutions and emerging technologies such as artificial intelligence (AI). Recent studies have clearly demonstrated the role of AI in health care and medical practi...

Three-dimensional continuous picking path planning based on ant colony optimization algorithm.

PloS one
Fruit-picking robots are one of the important means to promote agricultural modernization and improve agricultural efficiency. With the development of artificial intelligence technology, people are demanding higher picking efficiency from fruit-picki...

Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue.

PloS one
BACKGROUND: With large volumes of longitudinal data in electronic medical records from diverse patients, primary care is primed for disruption by artificial intelligence (AI) technology. With AI applications in primary care still at an early stage in...