AIMC Topic: Humans

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Primary vs redo robotic pyeloplasty: A comparison of outcomes.

Journal of pediatric urology
INTRODUCTION: Robot-assisted laparoscopic pyeloplasty (RALP) is a safe and efficacious option for repair of UPJO. We hypothesize that redo-RALP is technically more difficult but has comparable outcomes to primary RALP.

Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.

NeuroImage
It is challenging to compare amyloid PET images obtained with different radiotracers. Here, we introduce a new approach to improve the interchangeability of amyloid PET acquired with different radiotracers through image-level translation. Deep genera...

Prioritizing Pain-Associated Targets with Machine Learning.

Biochemistry
While hundreds of genes have been associated with pain, much of the molecular mechanisms of pain remain unknown. As a result, current analgesics are limited to few clinically validated targets. Here, we trained a machine learning (ML) ensemble model ...

A Leap of Faith: Is There a Formula for "Trustworthy" AI?

The Hastings Center report
Trust is one of the big buzzwords in debates about the shaping of society, democracy, and emerging technologies. For example, one prominent idea put forward by the High-Level Expert Group on Artificial Intelligence appointed by the European Commissio...

Detecting white spot lesions on dental photography using deep learning: A pilot study.

Journal of dentistry
OBJECTIVES: We aimed to apply deep learning to detect white spot lesions in dental photographs.

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images.

Laboratory investigation; a journal of technical methods and pathology
Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can progress into invasive ductal carcinoma (IDC). Studies suggest DCIS is often overtreated since a considerable part of DCIS lesions may never progress into IDC. Lower grade lesio...

Training deep-learning segmentation models from severely limited data.

Medical physics
PURPOSE: To enable generation of high-quality deep learning segmentation models from severely limited contoured cases (e.g., ~10 cases).

A Modular Design for Distributed Measurement of Human-Robot Interaction Forces in Wearable Devices.

Sensors (Basel, Switzerland)
Measurement of interaction forces distributed across the attachment interface in wearable devices is critical for understanding ergonomic physical human-robot interaction (pHRI). The main challenges in sensorization of pHRI interfaces are (i) capturi...

A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution.

Sensors (Basel, Switzerland)
Colon carcinoma is one of the leading causes of cancer-related death in both men and women. Automatic colorectal polyp segmentation and detection in colonoscopy videos help endoscopists to identify colorectal disease more easily, making it a promisin...

Actionable Principles for Artificial Intelligence Policy: Three Pathways.

Science and engineering ethics
In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on "AI Ethics Principles". However, these AI Ethics Principles often fail to be actioned in governm...