AIMC Topic: Humans

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Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants.

Medicine, health care, and philosophy
Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcar...

Multi-features extraction based on deep learning for skin lesion classification.

Tissue & cell
For various forms of skin lesion, many different feature extraction methods have been investigated so far. Indeed, feature extraction is a crucial step in machine learning processes. In general, we can distinct handcrafted and deep learning features....

Critical Analysis of Artificial Intelligence in Endodontics: A Scoping Review.

Journal of endodontics
INTRODUCTION: Artificial intelligence (AI) comprises computational models that mimic the human brain to perform various diagnostic tasks in clinical practice. The aim of this scoping review was to systematically analyze the AI algorithms and models u...

Recent Advances in Multiresponsive Flexible Sensors towards E-skin: A Delicate Design for Versatile Sensing.

Small (Weinheim an der Bergstrasse, Germany)
Multiresponsive flexile sensors with strain, temperature, humidity, and other sensing abilities serving as real electronic skin (e-skin) have manifested great application potential in flexible electronics, artificial intelligence (AI), and Internet o...

Editorial comment on "Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms".

European radiology
This editorial comment refers to the article: "Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms" by Guo et al. (Eur Radiol, 2021). KEY POINTS: •Deep learning may ...

Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.

Journal of gastroenterology and hepatology
BACKGROUND AND AIM: Recently, artificial intelligence (AI) has been used in endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the feasibility of AI using convolutional neural network (CNN) systems for evaluating the...

Discovery of Pyrazolo[3,4-]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation.

Journal of medicinal chemistry
Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cytokines, making DDR1 an attractive target for inflammatory bowel disease (IBD) therapy. A scaffold-based molecular design workflow was established and...

Evaluating the impact of the learning curve on the perioperative outcomes of robot-assisted radical cystectomy with intracorporeal urinary diversion.

Actas urologicas espanolas
INTRODUCTION: Robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) is a technically difficult procedure. Our aim was to evaluate the potential impact of the learning curve (LC) on perioperative and pathological outcom...

Ureteroileal anastomosis stricture after urinary diversions performed by open, laparoscopic and robotic approaches. Incidence and management in a tertiary care center.

Actas urologicas espanolas
INTRODUCTION: Ureteroileal anastomosis stricture is a frequent complication after radical cystectomy and ileal conduit or orthotopic neobladder formation. We analyze their incidence based on the technique for urinary diversion and on the surgical app...