AIMC Topic: Humans

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Use of a humanoid robot for auditory psychophysical testing.

PloS one
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO robot, named Sam, as an alternative interface for conducting psychophysi...

Providing the Gist of Medical Expertise in the Context of Laws, Rules, and Guidelines: Fuzzy-Trace Theory's Alternative Approach to Improve Patient Communication.

The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics
Current guidelines and regulatory frameworks create a dilemma that threatens the effectiveness of much needed communication between patients and medical providers: How can patients be presented with detailed facts without creating cognitive "overload...

Applications of robots in implant dentistry: A scoping review.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: With the increasing interest in the applications of robots in implant dentistry and an acceleration in disseminating information about this field and its applications, a comprehensive review of robots in implant dentistry has be...

Population-Based Artificial Intelligence Assessment of Relationship Between the Risk Factors for Diabetic Retinopathy in Indian Population.

Ophthalmic epidemiology
PURPOSE: Risk factors (RFs), like 'body mass index (BMI),' 'age,' and 'gender' correlate with Diabetic Retinopathy (DR) diagnosis and have been widely studied. This study examines how these three secondary RFs independently affect the predictive capa...

The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior.

Perspectives on psychological science : a journal of the Association for Psychological Science
More and more machine learning is applied to human behavior. Increasingly these algorithms suffer from a hidden-but serious-problem. It arises because they often predict one thing while hoping for another. Take a recommender system: It predicts click...

Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach.

European radiology
OBJECTIVES: To evaluate the relationship of changes in the deep learning-based CT quantification of interstitial lung disease (ILD) with changes in forced vital capacity (FVC) and visual assessments of ILD progression, and to investigate their progno...

Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm.

European journal of nuclear medicine and molecular imaging
UNLABELLED: This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 min, routinely provided by a high-sensitivity 360° cadmium and zinc telluride (CZT) camera, can be f...

Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science.

Clinical pharmacology and therapeutics
Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any decision-making process can significantly skew outcomes, and AI systems have been shown to exhibit bi...