AIMC Topic: Humans

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Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

Methods of information in medicine
BACKGROUND: Adverse events are common in health care. In psychiatric treatment, compensation claims for patient injuries appear to be less common than in other medical specialties. The most common types of patient injury claims in psychiatry include ...

Exposure to robot preachers undermines religious commitment.

Journal of experimental psychology. General
Over the last decade, robots continue to infiltrate the workforce, permeating occupations that once seemed immune to automation. This process seems to be inevitable because robots have ever-expanding capabilities. However, drawing from theories of cu...

Improving protein structure prediction with extended sequence similarity searches and deep-learning-based refinement in CASP15.

Proteins
The human predictor team PEZYFoldings got first place with the assessor's formulae (3rd place with Global Distance Test Total Score [GDT-TS]) in the single-domain category and 10th place in the multimer category in Critical Assessment of Structure Pr...

Freudian robots: Artificial intelligence and psychodynamics.

Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists
OBJECTIVE: Artificial intelligence (AI) is rapidly developing, particularly human-interacting and affective AI systems. Psychodynamic concepts important to human development should be considered in the development of AI systems.

Feasibility of on-demand robotics in colorectal surgery: first cases.

Surgical endoscopy
INTRODUCTION: The key benefits of robotics are improved precision and control, thanks to fully articulated robotic instruments and enhanced, stable endoscope control. However, colorectal procedures also require large movements such as medialization o...

Prognostic impact of palpable prostate tumors on disease progression after robot-assisted radical prostatectomy: a single-center experience.

Journal of robotic surgery
OBJECTIVE: This study aimed to evaluate the impact of palpable prostate tumors on digital rectal exam (DRE) on the disease progression of prostate cancer (PCa) treated with RARP surgery in a tertiary referral center.

Scene context is predictive of unconstrained object similarity judgments.

Cognition
What makes objects alike in the human mind? Computational approaches for characterizing object similarity have largely focused on the visual forms of objects or their linguistic associations. However, intuitive notions of object similarity may depend...

Perceiving placental ultrasound image texture evolution during pregnancy with normal and adverse outcome through machine learning prism.

Placenta
INTRODUCTION: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), second(T2) and third(T3) trimesters of pregnancy using machine learning( ML).

Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets.

Artificial intelligence in medicine
Coronavirus (COVID-19) is a newly discovered viral disease from the SARS-CoV-2 family. This has caused a moral panic resulting in the spread of informative and uninformative information about COVID-19 and its effects. Twitter is a popular social medi...

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.

NeuroImage
Deep artificial neural networks (DNNs) have moved to the forefront of medical image analysis due to their success in classification, segmentation, and detection challenges. A principal challenge in large-scale deployment of DNNs in neuroimage analysi...