AIMC Topic: Humans

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Decoding dietary myths: The role of ChatGPT in modern nutrition.

Clinical nutrition ESPEN
In today's world, where nutrition forms the cornerstone of human health, the potential harms of misinformation are concerning. Nutritional myths, whether originating from age-old superstitions, misinterpreted scientific findings, or commercial intere...

Clinical utilization of artificial intelligence in predicting therapeutic efficacy in pulmonary tuberculosis.

Journal of infection and public health
Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring. This review investigates the application of AI in monitoring anti-tu...

Artificial intelligence and explanation: How, why, and when to explain black boxes.

European journal of radiology
Artificial intelligence (AI) is infiltrating nearly all fields of science by storm. One notorious property that AI algorithms bring is their so-called black box character. In particular, they are said to be inherently unexplainable algorithms. Of cou...

Deep learning algorithm applied to plain CT images to identify superior mesenteric artery abnormalities.

European journal of radiology
OBJECTIVES: Atypical presentations, lack of biomarkers, and low sensitivity of plain CT can delay the diagnosis of superior mesenteric artery (SMA) abnormalities, resulting in poor clinical outcomes. Our study aims to develop a deep learning (DL) mod...

Artificial Intelligence in Radiology: Opportunities and Challenges.

Seminars in ultrasound, CT, and MR
Artificial intelligence's (AI) emergence in radiology elicits both excitement and uncertainty. AI holds promise for improving radiology with regards to clinical practice, education, and research opportunities. Yet, AI systems are trained on select da...

[Artificial intelligence and acute kidney injury].

Medizinische Klinik, Intensivmedizin und Notfallmedizin
Digitalization is increasingly finding its way into intensive care units and with it artificial intelligence (AI) for critically ill patients. One promising area for the use of AI is in the field of acute kidney injury (AKI). The use of AI is primari...

Monitoring of Remotely Reprogrammable Implantable Loop Recorders With Algorithms to Reduce False-Positive Alerts.

Journal of the American Heart Association
BACKGROUND: Implantable loop recorders (ILRs) are increasingly placed for arrhythmia detection. However, historically, ≈75% of ILR alerts are false positives, requiring significant time and effort for adjudication. The LINQII and LUX-Dx are remotely ...

Synthetic biological neural networks: From current implementations to future perspectives.

Bio Systems
Artificial neural networks, inspired by the biological networks of the human brain, have become game-changing computing models in modern computer science. Inspired by their wide scope of applications, synthetic biology strives to create their biologi...

U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.

Computers in biology and medicine
With the increasing prevalence of machine learning in critical fields like healthcare, ensuring the safety and reliability of these systems is crucial. Estimating uncertainty plays a vital role in enhancing reliability by identifying areas of high an...

An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks.

Biomolecules
(1) Background: Radiation-induced thrombocytopenia (RIT) often occurs in cancer patients undergoing radiation therapy, which can result in morbidity and even death. However, a notable deficiency exists in the availability of specific drugs designed f...