AIMC Topic: Humans

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Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer.

Medical physics
BACKGROUND: The potential prognostic value of extranodal soft tissue metastasis (ESTM) has been confirmed by increasing studies about gastric cancer (GC). However, the gold standard of ESTM is determined by pathologic examination after surgery, and t...

Usefulness of real-time navigation using intraoperative ultrasonography for rectal cancer resection.

Asian journal of endoscopic surgery
INTRODUCTION: At our institute, we usually perform robot-assisted surgery for rectal cancer as minimally invasive surgery. It is necessary to recognize the tumor edge accurately when deciding where to place the distal cutting line of the rectum. In t...

Algorithmic bias in artificial intelligence is a problem-And the root issue is power.

Nursing outlook
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care.

Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles?

Expert review of pharmacoeconomics & outcomes research
OBJECTIVES: Artificial intelligence-powered tools, such as ASReview, could reduce the burden of title and abstract screening. This study aimed to assess the accuracy and efficiency of using ASReview in a health economic context.

Federated Learning: A Cross-Institutional Feasibility Study of Deep Learning Based Intracranial Tumor Delineation Framework for Stereotactic Radiosurgery.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Deep learning-based segmentation algorithms usually required large or multi-institute data sets to improve the performance and ability of generalization. However, protecting patient privacy is a key concern in the multi-institutional stud...

Minimally Invasive Robotic Techniques for Hepatocellular Carcinoma Resection: How I Do It.

Surgical oncology clinics of North America
The adoption of minimally invasive techniques for hepatocellular resection has progressively increased in North America. Cumulative evidence has demonstrated improved surgical outcomes in patients who undergo minimally invasive hepatectomy. In this r...

Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment.

European radiology
OBJECTIVES: To evaluate the prognostic value of CT-based markers of sarcopenia and myosteatosis in comparison to the Eastern Cooperative Oncology Group (ECOG) score for survival of patients with advanced pancreatic cancer treated with high-intensity ...

Towards reproducible radiomics research: introduction of a database for radiomics studies.

European radiology
OBJECTIVES: To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.

Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence.

Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia
OBJECTIVE: Clinical data on which artificial intelligence (AI) algorithms are trained and tested provide the basis to improve diagnosis or treatment of infectious diseases (ID). We aimed to identify important data for ID research to prioritise effort...