AIMC Topic: Humans

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Autonomous path planning for robot-assisted pelvic fracture closed reduction with collision avoidance.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robot-assisted pelvic fracture closed reduction (RPFCR) positively contributes to patient treatment. However, the current path planning suffers from incomplete obstacle avoidance and long paths.

Comparison of robot-assisted partial nephrectomy with soft coagulation and double-layer technique for complex and non-complex tumors.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To compare the postoperative outcomes of robot-assisted partial nephrectomy when only the inner layer is sutured (single-layer technique with soft coagulation) with those when sutures are placed in the inner and outer layers (double-layer...

VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Mild cognitive impairment (MCI) is a transitional state between normal aging and Alzheimer's disease (AD), and accurately predicting the progression trend of MCI is critical to the early prevention and treatment of AD. Brain...

Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review.

Bioresource technology
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in bioprocesses aimed at achieving circular economy. With the current digital transformation within the biomanufacturing sector, the interest of automating fungi-bas...

[Robot-assisted rectal resections-Scoping review for levelĀ 1a evidence and retrospective analysis of in-clinic data].

Chirurgie (Heidelberg, Germany)
BACKGROUND: Robot-assisted rectal resections are said to overcome the known difficulties of laparoscopic rectal surgery through technical advantages, leading to better treatment results; however, published studies reported very heterogeneous results....

Off the deep end: What can deep learning do for the gene expression field?

The Journal of biological chemistry
After a COVID-related hiatus, the fifth biennial symposium on Evolution and Core Processes in Gene Regulation met at the Stowers Institute in Kansas City, Missouri July 21 to 24, 2022. This symposium, sponsored by the American Society for Biochemistr...

Application of Digital Imaging and Artificial Intelligence to Pathology of the Placenta.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
Digital imaging, including the use of artificial intelligence, has been increasingly applied to investigate the placenta and its related pathology. However, there has been no comprehensive review of this body of work to date. The aim of this study wa...

Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks.

Nucleosides, nucleotides & nucleic acids
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease in the world. The NAFLD spectrum includes simple steatosis, steatohepatitis, fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). Genetic, nutritio...