AIMC Topic: Humans

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DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening.

Journal of chemical information and modeling
Recently emerging generative AI models enable us to produce a vast number of compounds for potential applications. While they can provide novel molecular structures, the synthetic feasibility of the generated molecules is often questioned. To address...

Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.

European radiology
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learning image reconstruction (DLIR) algorithm compared with standard image reconstruction algorithms on abdominal enhanced computed tomography (CT) scanning...

Raw data consistent deep learning-based field of view extension for dual-source dual-energy CT.

Medical physics
BACKGROUND: Due to technical constraints, dual-source dual-energy CT scans may lack spectral information in the periphery of the patient.

And say the AI responded? Dancing around 'autonomy' in AI/human encounters.

Social studies of science
The article explores technology-human relations in a time of artificial intelligence (AI) and in the context of long-standing problems in social theory about agency, nonhumans, and autonomy. Most theorizations of AI are grounded in dualistic thinking...

Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.

The Lancet. Infectious diseases
Health-care systems, food supply chains, and society in general are threatened by the inexorable rise of antimicrobial resistance. This threat is driven by many factors, one of which is inappropriate antimicrobial treatment. The ability of policy mak...

ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity.

Academic medicine : journal of the Association of American Medical Colleges
ChatGPT has ushered in a new era of artificial intelligence (AI) that already has significant consequences for many industries, including health care and education. Generative AI tools, such as ChatGPT, refer to AI that is designed to create or gener...

Self-orienting in human and machine learning.

Nature human behaviour
A current proposal for a computational notion of self is a representation of one's body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientatio...

Crash injury severity prediction considering data imbalance: A Wasserstein generative adversarial network with gradient penalty approach.

Accident; analysis and prevention
For each road crash event, it is necessary to predict its injury severity. However, predicting crash injury severity with the imbalanced data frequently results in ineffective classifier. Due to the rarity of severe injuries in road traffic crashes, ...

Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology.

AJNR. American journal of neuroradiology
In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematically. Illustrative examples are given of what can go wrong when unintended bias or unfairness in algorithmic development occurs. The importance of expla...

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings.

Artificial intelligence in medicine
Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves a manual and qualitative eva...