AIMC Topic: Humans

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Accurate Identification of Antioxidant Proteins Based on a Combination of Machine Learning Techniques and Hidden Markov Model Profiles.

Computational and mathematical methods in medicine
Antioxidant proteins (AOPs) play important roles in the management and prevention of several human diseases due to their ability to neutralize excess free radicals. However, the identification of AOPs by using wet-lab experimental techniques is often...

Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations.

Computational and mathematical methods in medicine
For the analysis of medical images, one of the most basic methods is to diagnose diseases by examining blood smears through a microscope to check the morphology, number, and ratio of red blood cells and white blood cells. Therefore, accurate segmenta...

A Soft Robot for Peripheral Lung Cancer Diagnosis and Therapy.

Soft robotics
Lung cancer is one of the deadliest forms of cancers and is often diagnosed by performing biopsies with the use of a bronchoscope. However, this diagnostic procedure is limited in ability to explore deep into the periphery of the lung where cancer ca...

Robotic pancreas surgery: an overview of history and update on technique, outcomes, and financials.

Journal of robotic surgery
The use robotics in surgery is gaining momentum. This approach holds substantial promise in pancreas surgery. Robotic surgery for pancreatic lesions and malignancies has become well accepted and is expanding to more and more center annually. The numb...

Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Morphological changes in knee cartilage subregions are valuable imaging-based biomarkers for understanding progression of osteoarthritis, and they are typically detected from magnetic resonance imaging (MRI). So far, accurate segmentation of cartilag...

Intraoperative multimodal analgesic bundle containing dexmedetomidine and ketorolac may improve analgesia after robot-assisted prostatectomy in patients receiving rectus sheath blocks.

Asian journal of surgery
BACKGROUND: Minimally invasive robot-assisted laparoscopic radical prostatectomy (RALP) has replaced open prostatectomy. However, RALP does not reduce postoperative pain compared to the open approach. We explored whether bundled intraoperative intrav...

Leveraging social media and deep learning to detect rare megafauna in video surveys.

Conservation biology : the journal of the Society for Conservation Biology
Deep learning has become a key tool for the automated monitoring of animal populations with video surveys. However, obtaining large numbers of images to train such models is a major challenge for rare and elusive species because field video surveys p...

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.

Medical image analysis
Perfusion imaging is crucial in acute ischemic stroke for quantifying the salvageable penumbra and irreversibly damaged core lesions. As such, it helps clinicians to decide on the optimal reperfusion treatment. In perfusion CT imaging, deconvolution ...

Cranial neurosurgical robotics.

British journal of neurosurgery
OBJECT: The purpose of this review is to highlight the major factors limiting the progress of robotics development in the field of cranial neurosurgery.