# Artificial Intelligence in Medicine (Canada)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/artificial-intelligence-in-medicine-canada/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 25.4 |
| Citations | 229,975 |
| City | Toronto |
| Country | CA |
| Description | Artificial Intelligence in Medicine (Canada) is a research organisation in Toronto, CA. OpenAlex records 10,747 works and 229,975 citations for it. 7,826 researchers list it as their most recent affiliation. |
| Homepage | http://www.aim.ca/ |
| OpenAlex ID | https://openalex.org/I4210164862 |
| Region | Ontario |
| Researchers | 7,826 |
| ROR ID | https://ror.org/05p590m36 |
| Type | company |
| Works | 10,747 |

## University papers

Showing 12 of 29.

- [Intrusion detection systems for wireless sensor networks using computational intelligence techniques](https://scholariq.org/papers/intrusion-detection-systems-for-wireless-sensor-networks-using-computational/)
- [Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model](https://scholariq.org/papers/detection-of-diabetic-retinopathy-using-a-multi-decision-inception-resnet/)
- [Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images](https://scholariq.org/papers/classification-of-diabetic-retinopathy-severity-using-deep-learning-techniques/)
- [Neural fuzzy closed loop hybrid system for classification, identification of mixed connective consonants and symbols with layered methodology](https://scholariq.org/papers/neural-fuzzy-closed-loop-hybrid-system-for-classification-identification-of/)
- [Five-Layered Neural Fuzzy Closed-Loop Hybrid Control System with Compound Bayesian Decision-Making Process for Classification Cum Identification of Mixed Connective Conjunct Consonants and Numerals](https://scholariq.org/papers/five-layered-neural-fuzzy-closed-loop-hybrid-control-system-with-compound/)
- [Secure Token–Key Implications in an Enterprise Multi-Tenancy Environment Using BGV–EHC Hybrid Homomorphic Encryption](https://scholariq.org/papers/secure-token-key-implications-in-an-enterprise-multi-tenancy-environment-using/)
- [Comprative study with analysis of OCR algorithms and invention analysis of character recognition approched methodologies](https://scholariq.org/papers/comprative-study-with-analysis-of-ocr-algorithms-and-invention-analysis-of/)
- [Neural Fuzzy Inference Hybrid System with Support Vector Machine for Identification of False Singling in Stock Market Prediction for Profit Estimation](https://scholariq.org/papers/neural-fuzzy-inference-hybrid-system-with-support-vector-machine-for/)
- [Neural Fuzzy Hybrid Rule-Based Inference System with Test Cases for Prediction of Heart Attack Probability](https://scholariq.org/papers/neural-fuzzy-hybrid-rule-based-inference-system-with-test-cases-for-prediction/)
- [ML‐Based Interconnected Affecting Factors with Supporting Matrices for Assessment of Risk in Stock Market](https://scholariq.org/papers/ml-based-interconnected-affecting-factors-with-supporting-matrices-for/)
- [Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images](https://scholariq.org/papers/hybrid-deep-maxout-vgg-16-model-for-brain-tumour-detection-and-classification/)
- [Discrete neighborhood difference pattern-based feature extraction and hybrid deep learning model for melanoma skin cancer detection](https://scholariq.org/papers/discrete-neighborhood-difference-pattern-based-feature-extraction-and-hybrid/)

## University researchers

- [Santosh Kumar Henge](https://scholariq.org/researchers/santosh-kumar-henge/)
- [Balajee Maram](https://scholariq.org/researchers/balajee-maram/)
- [Vijaya Chandra Jadala](https://scholariq.org/researchers/vijaya-chandra-jadala-2/)
- [B. Mythili](https://scholariq.org/researchers/b-mythili/)

## University top topics

Showing 8 of 25.

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.