AIMC Topic: Humans

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DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning.

Journal of biomolecular structure & dynamics
Adrenergic α2a (ADRA2A) receptors play a crucial role in modulating various physiological actions, thereby influencing the proper functioning of different systems in the body. ADRA2A regulation is associated with a wide range of effects, including al...

Feasibility of robotic multivisceral resections in colorectal cancer patients: a NSQIP-based study.

Journal of robotic surgery
Multivisceral robotic surgery may be an alternative to sequential procedures in select patients with colorectal cancer who are diagnosed with synchronous lesions or in those who require additional procedures at the time of resection. The aim of this ...

Artificial intelligence for dementia prevention.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical t...

Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images.

Head & neck
BACKGROUND: Accurate vocal cord leukoplakia classification is critical for the individualized treatment and early detection of laryngeal cancer. Numerous deep learning techniques have been proposed, but it is unclear how to select one to apply in the...

Combination of headspace single-drop microextraction (HS-SDME) with a nickel-embedded paper-based analytical device for cyanide quantification.

Analytica chimica acta
BACKGROUND: Cyanide anion can be found in foodstuffs, tobacco smoke and a variety of types of waters, mainly originating from anthropogenic activities. Due to its highly toxic nature, several agencies have established limits for cyanide levels in wat...

Unraveling the complexities of pathological voice through saliency analysis.

Computers in biology and medicine
The human voice is an essential communication tool, but various disorders and habits can disrupt it. Diagnosis of pathological and abnormal voices is very important. Conventional diagnosis of these voice pathologies can be invasive and costly. Voice ...

Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

Surgical endoscopy
BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotatio...

Continuous visualization and validation of pain in critically ill patients using artificial intelligence: a retrospective observational study.

Scientific reports
Machine learning tools have demonstrated viability in visualizing pain accurately using vital sign data; however, it remains uncertain whether incorporating individual patient baselines could enhance accuracy. This study aimed to investigate improvin...

Update on ethical aspects in clinical research: Addressing concerns in the development of new AI tools in radiology.

Radiologia
The analysis of ethical aspects in clinical research has always been a challenge and has required constant updates. In short, research ethics is the set of specific principles, rules, and norms of behavior that a research community has decided are ap...

Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology.

Ocular immunology and inflammation
PURPOSE: To assess the diagnostic performance of two chatbots, ChatGPT and Glass, in uveitis diagnosis compared to renowned uveitis specialists, and evaluate clinicians' perception about utilizing artificial intelligence (AI) in ophthalmology practic...