ReviewAdvances in biochemical engineering/biotechnology2022
Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.
Review in Advances in biochemical engineering/biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The usefulness of artificial intelligence in breast reconstruction: a systematic review.Breast cancer (Tokyo, Japan) · 2024Pooled it
- Assessing Large Language Models for Early Article Identification in Otolaryngology-Head and Neck Surgery Systematic Reviews.Health care science · 2026Article
- Using Artificial Intelligence-Based Technologies for the Early Detection of Behavioral and Psychological Symptoms of Dementia: Scoping Review.JMIR aging · 2025Article
- Bridging the gap: From petri dish to patient - Advancements in translational drug discovery.Heliyon · 2025Review
- Digitalization concepts in academic bioprocess development.Engineering in life sciences · 2024Review
- High-throughput process development from gene cloning to protein production.Microbial cell factories · 2023Review
- Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation.JMIR formative research · 2023Article
- Editorial: Computational mechanism of genetic/evolutionary operator and optimizations in genomic data applications.Frontiers in genetics · 2023Article
- Engineered Extracellular Vesicles in Arthritic Diseases: Therapeutic Applications & Challenges.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence represents a powerful computational tool to analyze large amounts of data with and without supervision. Such powerful techniques have significantly impacted the advancement of multiple sectors from social media to data security, the automotive industry, gaming, finances, and healthcare. Only recently, however, artificial intelligence has been making significant strides in healthcare and biomedical research. Despite such advancements and the expectation of potential breakthroughs arising from implementing artificial intelligence in these fields, there is limited knowledge transfer and training for most healthcare professionals on using these computational techniques. While there is a wide array of publications on artificial intelligence applied to scientific research, most are too technical (not aimed at the non-initiated), too broad (with an overwhelming amount of data), or too focused on a particular application. This chapter presents an overview of artificial intelligence and its derivatives, giving a historical perspective, a succinct technical explanation of the underlying basis, and some examples of its applications. It finishes with a brief discussion on the challenges for implementing AI to be fully accepted in the scientific community.
Indexed as
Identifiers
35262750What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.