Latifah Alkandari

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

External positions

Ministry of Health

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Dive into the research topics where Latifah Alkandari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

2 Active

Developing A Novel Deep Learning Technique using Convolutional Neural Network (CNN) for Automated Diagnosis and Differentiating Lung Infections on Chest X-ray.
Alkandari, L. (PI), MASOOMI, M. (CoI), RAMZY, H. (CoI) & SHAKER, T. (CoI)
22/10/23 → …
Project: Applied Research › Applied Research 2023 Cycle 2
Impact of WBCT Application on Trauma Patients. “A First National Audit (KW) to Maintain a More Effective Utilization of Radiology Resources and Limit Undesired Radiation.
Alkandari, L. (PI) & EL-GARGANI, A. (CoI)
9/06/22 → …
Project: Applied Research › Applied Research 2022 Cycle 2

1 Comment/debate

Masoomi, M. A., Al-Kandari, L., & Al-Shammeri, I. (2021). Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation. BMJ Case Reports, 14(1), Article 241060. https://doi.org/10.1136/bcr-2020-241060

Open Access

1 Scopus citations

Latifah Alkandari

Personal profile

Expertise related to UN Sustainable Development Goals

External positions

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Developing A Novel Deep Learning Technique using Convolutional Neural Network (CNN) for Automated Diagnosis and Differentiating Lung Infections on Chest X-ray.

Impact of WBCT Application on Trauma Patients. “A First National Audit (KW) to Maintain a More Effective Utilization of Radiology Resources and Limit Undesired Radiation.

Latifah Alkandari

Personal profile

Expertise related to UN Sustainable Development Goals

External positions

Fingerprint

Collaborations and top research areas from the last five years

Projects

Developing A Novel Deep Learning Technique using Convolutional Neural Network (CNN) for Automated Diagnosis and Differentiating Lung Infections on Chest X-ray.

Impact of WBCT Application on Trauma Patients. “A First National Audit (KW) to Maintain a More Effective Utilization of Radiology Resources and Limit Undesired Radiation.

Research output