AI Medical Compendium Topic:
Neoplasms

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Deep learning and ultrasound feature fusion model predicts the malignancy of complex cystic and solid breast nodules with color Doppler images.

Scientific reports
This study aimed to evaluate the performance of traditional-deep learning combination model based on Doppler ultrasound for diagnosing malignant complex cystic and solid breast nodules. A conventional statistical prediction model based on the ultraso...

Emerging Pharmacotherapeutic Strategies to Overcome Undruggable Proteins in Cancer.

International journal of biological sciences
Targeted therapies in cancer treatment can improve efficacy and reduce adverse effects by altering the tissue exposure of specific biomolecules. However, there are still large number of target proteins in cancer are still undruggable, owing to the f...

Intelligent solution predictive networks for non-linear tumor-immune delayed model.

Computer methods in biomechanics and biomedical engineering
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model illustrating the interaction among tumor cells and the immune system (cytotoxic T lymphocytes, T helper cells), where the delays portray the times required fo...

Using a deep learning neural network for the identification of malignant cells in effusion cytology material.

Cytopathology : official journal of the British Society for Clinical Cytology
AIM: To evaluate the application of an artificial neural network in the detection of malignant cells in effusion samples.

Robotic-Assisted Transabdominal Inferior Retroperitoneal Approach: an Alternative to Cattell-Braash Maneuver.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
INTRODUCTION: The Cattell-Braasch maneuver has been widely used to provide adequate exposure for aorto-caval space (ACS) since the 1960s. Given its requirement of complex visceral mobilization and significant physiological disturbance, we proposed a ...

Efficient evaluation of photodynamic therapy on tumor based on deep learning.

Photodiagnosis and photodynamic therapy
Photodynamic therapy (PDT) is a non-invasive treatment method for treating tumors. Under laser irradiation, photosensitizers in tumor tissues generate biotoxic reactive oxygen, which can kill tumor cells. The traditional live/dead staining method of ...

Transparent Pneumatic Tactile Sensors for Soft Biomedical Robotics.

Sensors (Basel, Switzerland)
Palpation is a simple but effective method to distinguish tumors from healthy tissues. The development of miniaturized tactile sensors embedded on endoscopic or robotic devices is key to achieving precise palpation diagnosis and subsequent timely tre...

Uncovering cancer's secrets: could liquid biopsies and artificial intelligence hold the answers?

Future oncology (London, England)
Tweetable abstract How are #liquidbiopsies and #AI pushing us closer to the goal of early cancer detection for all? Plus, what more needs to be done to truly deciphers cancer's secrets? Find out in this editorial by @JadeParkerB.

Machine learning in computational histopathology: Challenges and opportunities.

Genes, chromosomes & cancer
Digital histopathological images, high-resolution images of stained tissue samples, are a vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state based on these images are an important part of oncology workflow. ...