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Alternative Medicine

Latest AI and machine learning research in alternative medicine for healthcare professionals.

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Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology.

More information about a person's genetic makeup, drug response, multi-omics response, and genomic r...

Application of machine learning and deep learning methods for hydrated electron rate constant prediction.

Accurately determining the second-order rate constant with e (k) for organic compounds (OCs) is cruc...

Enhancing Multi-disease Diagnosis of Chest X-rays with Advanced Deep-learning Networks in Real-world Data.

The current artificial intelligence (AI) models are still insufficient in multi-disease diagnosis fo...

Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.

Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can g...

Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.

BACKGROUND: Assessment of the quality of medical evidence available on the web is a critical step in...

Evidence of a predictive coding hierarchy in the human brain listening to speech.

Considerable progress has recently been made in natural language processing: deep learning algorithm...

Bayesian inference in ring attractor networks.

Working memories are thought to be held in attractor networks in the brain. These attractors should ...

The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR Imaging.

PURPOSE OF REVIEW: The purpose of this review is to summarize the current status of artificial intel...

A Review of Fusion Methods for Omics and Imaging Data.

The development of omics data and biomedical images has greatly advanced the progress of precision m...

Socially Assistive Devices in Healthcare-a Systematic Review of Empirical Evidence from an Ethical Perspective.

Socially assistive devices such as care robots or companions have been advocated as a promising tool...

Biologically informed deep learning to query gene programs in single-cell atlases.

The increasing availability of large-scale single-cell atlases has enabled the detailed description ...

[Robot-assisted Lung Surgery: Techniques, Evidence and Data on Anatomical Resections].

Thanks to improved visualisation and instruments with an endowrist function, robot-assisted thoracic...

Recurrent networks endowed with structural priors explain suboptimal animal behavior.

The strategies found by animals facing a new task are determined both by individual experience and b...

The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study.

BACKGROUND: Machine learning (ML) tools exist that can reduce or replace human activities in repetit...

Robotics and cybersurgery in ophthalmology: a current perspective.

Ophthalmology is one of the most enriched fields, allowing the domain of artificial intelligence to ...

Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.

BACKGROUND: The rhetoric surrounding clinical artificial intelligence (AI) often exaggerates its eff...

Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study.

STATEMENT OF PROBLEM: Computer-aided design and computer-aided manufacturing (CAD-CAM) technology ha...

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.

Healthcare has well-known challenges with safety, quality, and effectiveness, and many see artificia...

Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database.

Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. Th...

[Robot-assisted rectal resections-Scoping review for levelĀ 1a evidence and retrospective analysis of in-clinic data].

BACKGROUND: Robot-assisted rectal resections are said to overcome the known difficulties of laparosc...

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