AIMC Topic: Humans

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Modeling and insights into the structural characteristics of endocrine-disrupting chemicals.

Ecotoxicology and environmental safety
Endocrine-disrupting chemicals (EDCs) can cause serious harm to human health and the environment; therefore, it is important to rapidly and correctly identify EDCs. Different computational models have been proposed for the prediction of EDCs over the...

Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.

Preventive medicine
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throu...

Laparoscopic versus robotic abdominal and pelvic surgery: a systematic review of randomised controlled trials.

Surgical endoscopy
BACKGROUND: The current evidence is inconclusive on whether robotic or laparoscopic surgery is the optimal platform for minimally invasive surgery. Existing comparisons techniques focus on short-term outcomes only, while potentially being confounded ...

Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The application of artificial intelligence (AI) technologies in screening and diagnosing retinal diseases may play an important role in telemedicine and has potential to shape modern healthcare ecosystems, including within ophthalm...

The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.

Mitigating bias in AI at the point of care.

Science (New York, N.Y.)
Promoting equity in AI in health care requires addressing biases at cli nical implementation.

Implications of predicting race variables from medical images.

Science (New York, N.Y.)
AI-predicted race variables pose risks and opportunities for studying health disparities.

Leveraging artificial intelligence in the fight against infectious diseases.

Science (New York, N.Y.)
Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance will ...

Video-Based Human Activity Recognition Using Deep Learning Approaches.

Sensors (Basel, Switzerland)
Due to its capacity to gather vast, high-level data about human activity from wearable or stationary sensors, human activity recognition substantially impacts people's day-to-day lives. Multiple people and things may be seen acting in the video, disp...

Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning.

Medicina (Kaunas, Lithuania)
: The tongue mucosa often changes due to various local and systemic diseases or conditions. This study aimed to investigate whether deep learning can help detect abnormal regions on the dorsal tongue surface in patients and healthy adults. : The stud...