AIMC Topic: Humans

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A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms.

Computers in biology and medicine
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in death. Detection of brain tumors can be made by using biopsy. However, this is an invasive procedure. It is an extremely dangerous procedure because it c...

Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs.

Computers in biology and medicine
Panoramic radiographs are an integral part of effective dental treatment planning, supporting dentists in identifying impacted teeth, infections, malignancies, and other dental issues. However, screening for anomalies solely based on a dentist's asse...

Free-hand, transrectal ultrasound-guided hydrodissection of the retroprostatic space during robot-assisted radical prostatectomy: Impact on the learning curve.

Urologic oncology
BACKGROUND: Aim of the current study is to describe our technique of hydrodissection (HD) of the retroprostatic space (RPS) performed between the Denonvillier's fascia (DF) and prostatic capsule (PC) and to evaluate its impact on the outcomes of nerv...

Leveraging ShuffleNet transfer learning to enhance handwritten character recognition.

Gene expression patterns : GEP
Handwritten character recognition has continually been a fascinating field of study in pattern recognition due to its numerous real-life applications, such as the reading tools for blind people and the reading tools for handwritten bank cheques. Ther...

Deep Learning-Based Artificial Neural Network-Cellular Automata Model in Constructing Landscape Gene in Shaanxi Ancient Towns under Rural Revitalization.

Computational intelligence and neuroscience
With the development of modern industrialization, the rational planning of land resources, especially rural settlements (RSs), has become an important part of rural revitalization. Optimizing the RS spatial layout and enhancing its evolution simulati...

The Surgical Learning Curve for Biochemical Recurrence After Robot-assisted Radical Prostatectomy.

European urology oncology
BACKGROUND: Improved cancer control with increasing surgical experience-the learning curve-was demonstrated for open and laparoscopic prostatectomy. In a prior single-center study, we found that this might not be the case for robot-assisted radical p...

Identification of Preanesthetic History Elements by a Natural Language Processing Engine.

Anesthesia and analgesia
BACKGROUND: Methods that can automate, support, and streamline the preanesthesia evaluation process may improve resource utilization and efficiency. Natural language processing (NLP) involves the extraction of relevant information from unstructured t...

Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions.

The Journal of rheumatology
There has been rapid growth in the use of artificial intelligence (AI) analytics in medicine in recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods represent a challenge to clinicians, patients, and researchers, giv...