AIMC Topic: Humans

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Diaphragmatic paralysis post COVID-19 treated with robot-assisted plication reinforced with acellular dermal matrix: a report of two cases.

Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace
Coronavirus disease 2019 (COVID-19) continues to be a disease of global importance, with an increasing array of sequelae attributed to infection by the severe acute respiratory syndrome coronavirus-2. One such complication that has been rarely docume...

A novel deep learning-based method for COVID-19 pneumonia detection from CT images.

BMC medical informatics and decision making
BACKGROUND: The sensitivity of RT-PCR in diagnosing COVID-19 is only 60-70%, and chest CT plays an indispensable role in the auxiliary diagnosis of COVID-19 pneumonia, but the results of CT imaging are highly dependent on professional radiologists.

Self-supervised machine learning for live cell imagery segmentation.

Communications biology
Segmenting single cells is a necessary process for extracting quantitative data from biological microscopy imagery. The past decade has seen the advent of machine learning (ML) methods to aid in this process, the overwhelming majority of which fall u...

Deep learning model to predict Epstein-Barr virus associated gastric cancer in histology.

Scientific reports
The detection of Epstein-Barr virus (EBV) in gastric cancer patients is crucial for clinical decision making, as it is related with specific treatment responses and prognoses. Despite its importance, the limited medical resources preclude universal E...

Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy.

Nature communications
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk (OARs) and tumors. However, it is the most time-consuming step as manual delineation is always required from radiation oncologists. Herein, we propose a ligh...

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.

Nature communications
A model's ability to express its own predictive uncertainty is an essential attribute for maintaining clinical user confidence as computational biomarkers are deployed into real-world medical settings. In the domain of cancer digital histopathology, ...

Being watched by a humanoid robot and a human: Effects on affect-related psychophysiological responses.

Biological psychology
Eye contact with a humanoid robot has been shown to evoke similar affect and affiliation related psychophysiological responses as eye contact with another human. In this pre-registered study, we investigated whether these effects are dependent on the...

Assessing incentives to increase digital payment acceptance and usage: A machine learning approach.

PloS one
An important step to achieve greater financial inclusion is to increase the acceptance and usage of digital payments. Although consumer adoption of digital payments has improved dramatically globally, the acceptance and usage of digital payments for ...

Artificial Intelligence: The Elephant in the Tumor Board Room.

Academic medicine : journal of the Association of American Medical Colleges

Modular Bioinspired Hand with Multijoint Rigid-Soft Finger Possessing Proprioception.

Soft robotics
Soft robot hands have the advantage of remarkable adaptability for grasping. Especially for the soft and fragile objects, soft fingers had presented their much excellent potential compared with their rigid counterparts. However, less degree of freedo...