AIMC Topic: Humans

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Robot-assisted Thoracoscopic Lobectomy of T4 Lung Cancer.

The Annals of thoracic surgery
A 79-year-old male former smoker presented with a T4 (>7 cm) adenocarcinoma of the right upper lobe. The patient was staged at clinical T4N0M0 and underwent robot-assisted right upper lobectomy and mediastinal lymph node dissection. The patient was d...

Nerve spare robot assisted laparoscopic prostatectomy with amniotic membranes: medium term outcomes.

Journal of robotic surgery
dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elements to be utilized for wound and ulcer management. We present our experience of using dHACM in a cohort of patients undergoing nerve-sparing (NS) rob...

Meta-analysis of human prediction error for incentives, perception, cognition, and action.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbrain neural firing has been confirmed across species and has inspired the construction of artificial intelligence that can outperform humans. However, t...

Uncharted Waters of Machine and Deep Learning for Surgical Phase Recognition in Neurosurgery.

World neurosurgery
Recent years have witnessed artificial intelligence (AI) make meteoric leaps in both medicine and surgery, bridging the gap between the capabilities of humans and machines. Digitization of operating rooms and the creation of massive quantities of dat...

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization.

Journal of digital imaging
Preparing radiology examinations for interpretation requires prefetching relevant prior examinations and implementing hanging protocols to optimally display the examination along with comparisons. Body part is a critical piece of information to facil...

Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods.

Journal of digital imaging
Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function limitation, and permanent joint damage in the hands. Plain hand radiographs are the most commonly used imaging methods for the diagnosis, differential...

Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Radiology
Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate liver metastases and image quality between reduced-dose deep learning ...

Laparoscopic donor and recipient hepatectomy followed by robot-assisted liver graft implantation in living donor liver transplantation.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Minimally invasive surgery has been introduced for liver transplantations. Although laparoscopic or robot-assisted living donor hepatectomy is being used, minimally invasive surgery is rarely performed in recipients during liver transplantation. A 63...

[Artificial intelligence for medical information departments : construction and evaluation of a decision-making tool to identify and prioritize stays of which the PMSI coding could be optimized, and to ensure the revenues generated by activity-based pricing].

Revue d'epidemiologie et de sante publique
BACKGROUND: Medical Information Departments help to optimize the hospital revenues generated by activity-based pricing. A review of medical files, selected after the targeting of coding summaries, is organized. The aim is to make any corrections to t...