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December 2021 -
Volume 19, Issue 12


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From the Editor

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Knowledge around back pain and spinal disorders among Aseer patients: A cross sectional study
[Abstract]
[pdf]
Ibrahim Alburaidi, Saleh Saeed AlQahtani, Fahad mohammed saran, Zuhair Abshan Alshehri,
Rayan Dulaym Dashnan, Sultan Abdullah Al Mansour, Faisal al-Jahami, Shaker Alshehri,
Hani Fayez Ahmed Alasmari, Jamal Saad Saeed Alqahtani, Meshari Shar Alshehri
DOI: 10.5742/MEWFM.2021.94171

Environmental Triggers in Migraine patients in Riyadh: A Cross-Sectional Study
[Abstract]

[pdf]
Awad Al Harbi, Nada Hussain Alzahrani, Hanan Abdulkarim Alsuhibany, Manal Abdullah Al-Dosari, Reeman Salman Alsalman, Alanoud Abdulaziz Alkhalifah (2)
DOI: 10.5742/MEWFM.2021.94172

Job Satisfaction among Primary Health Care Workers in Buraidah, Qassim, Saudi Arabia
[Abstract]
[pdf]
Entisar AlJumail, Unaib Rabbani
DOI: 10.5742/MEWFM.2021.94173

Barriers to Compliance of Hypertensive Patients in Abha City, Saudi Arabia
[Abstract]
[pdf]
Alhussein Ali Almonawar, Ali Saeed Alasmary, Mohammed Mabkhoot Mogbel,
Hassan Mussa Almojamad
DOI: 10.5742/MEWFM.2021.94177

Disappearance of hepatitis C virus antibodies with hydroxyurea therapy in sickle cell diseases
[Abstract]
[pdf]
Mehmet Rami Helvaci, Engin Altintas, Atilla Yalcin, Orhan Ekrem Muftuoglu, Abdulrazak Abyad, Lesley Pocock
DOI: 10.5742/MEWFM.2021.94177

School Teachers' Knowledge and Attitude toward School Students with Epilepsy
[Abstract]
[pdf]
Rawan S. AlSuqair,Mohrah A. Alyabis,Marwa A. Algadi, Asmaa Attieh, Labani A. Juha,
Rama G. Alawa, Sarah G. Alghannam, Noora Z. Alsaadoon, Nervana A. Elsayed, Mona A. Alfadeel
DOI: 10.5742/MEWFM.2021.94183

Regional Covid

Increased Psychological Disorders among Pediatric Population during Covid
[Abstract]
[pdf]
Hamda Ahmed J H AlQaatri
DOI: 10.5742/MEWFM.2021.94174

Letter to the Editor
[pdf]
Mark Spigelman
DOI: 10.5742/MEWFM.2021.94192

Population and Community Studies

Patterns and determinants of Z score of Height for Age, Weight for Age and Weight for Height among Preschool children in Jeddah city, Saudi Arabia
[Abstract]
[pdf]
Fathi M. El-Gamal, Nuha Alsubhi, Shahd Badr, Nada Althaqafi, Fatima Al-Qadasi, Mariyam Hammed DOI: 10.5742/MEWFM.2021.94179

Effectiveness of Community Mental Health Service in Oman: A Pilot Study
[Abstract]
[pdf]
Saleha Al-Jadidi, Ahmed. S. Aboalatta, Iman Al-Rahbi, Maryiam Al-Harrasi,
Hamood AlRauzaiqi, Musa Abu Sabeih, Thuraiya AlGammari, Ahmed Al-Shammakhi
DOI: 10.5742/MEWFM.2021.94180

Proton Pump Inhibitors Awareness among Physicians and Pharmacists in Primary Healthcare Centres in Abha, Saudi Arabia
[Abstract]
[pdf]
Ibrahim Hasan Alasmari, Majed Mohammed AL Saleh, Majed Ali Alahmari, Sawsan Mohammad Asiri, Aljawhara Yahya Asiri
DOI: 10.5742/MEWFM.2021.94184

Knowledge, Attitude and Practice of Non-Psychiatric Physicians about Addiction
[Abstract]
[pdf]
Saeed M. Al-Ahmari, Ali A. Almusa, Ali A. Alshomrani, Waleed S.H. Al Ahmary,
Zahra S.A. Assiry, Suad M.S. Alqahtany, Ahmed Yahya Asiri, Turki Hassan Alqahtani,
Nasser Saeed Alassiri, Ossama A. Mostafa
DOI: 10.5742/MEWFM.2021.94185

Risk Factors for Diabetic Ketoacidosis among Type 1 Diabetic Children Registered at "Heraa Diabetes Center" in Makkah Al-Mokarramah City, Saudi Arabia
[Abstract]
[pdf]
Waleed K. Ballaji, Hassan M. Hadadi
DOI: 10.5742/MEWFM.2021.94186

Physicians’ Perspectives of Barriers to Insulin Initiation for Adults with Type 2 Diabetes Mellitus in Primary Health Care Centers (PHCCs), Tabouk Province - Kingdom of Saudi Arabia (KSA)
[Abstract]
[pdf]
Sameh F. Ahmed, Ghurmallah A. Alghamdi, Amerah A. Albalawi, Majed S. Alqahtani, Ibrahim M. Ghonim, Hoda M. Elhady, Shimaa A. Abdelhamid, Abderahman A. Eldesouky
DOI: 10.5742/MEWFM.2021.94189

Review

Role of SGLT2 Inhibitors and GLP-1 Analogs in Cardiovascular Risk Reduction in Type 2 Diabetes
[Abstract]
[pdf]
Mostafa Hamdy Rashed, Tonbra Deborah Dauyoumor, Sarah Corney,
Kimberly Konono, Nadia Joubert, Marwa Mohamed, Michon Sukhoo-Pertab,
Mobowa Makhomisane, Irene Njeri, Julius Mwita, Mariam Sefen,
Khadija Mohamed, Nicolette Whiley
DOI: 10.5742/MEWFM.2021.94188

Diagnostic approach to eosinophilia in children
[Abstract]
[pdf]
Raghba Shasho
DOI: 10.5742/MEWFM.2021.94190

Original Clinical Research

Machine Learning in Otorhinolaryngology, Head and Neck Surgery and its applications in diagnosis and management: Undergraduates Perception toward New Era
[Abstract]
[pdf]
Saleh Abdulmoneim Alomary, Belal Abdullah Alorainy , Naif Saleh Albargan, Fahad Z. Alotaibi
Feras Alkholaiwi
DOI: 10.5742/MEWFM.2021.94191

Middle East Quality Improvement Program
(MEQUIP QI&CPD)


Chief Editor -
Abdulrazak Abyad MD, MPH, MBA, AGSF, AFCHSE

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Publisher -
Lesley Pocock
medi+WORLD International
AUSTRALIA
Email
: lesleypocock@mediworld.com.au
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December 2021 - Volume 11, Issue 12

Machine Learning in Otorhinolaryngology, Head and Neck Surgery and its applications in diagnosis and management: Undergraduates Perception toward New Era

(1) College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia,
(2) Dr. Sulaiman Al Habib Medical Group

Corresponding author:
Saleh Abdulmoneim Alomary,College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
Email: Alomarysaleh@gmail.com

Received: October 2021; Accepted: November 2021; Published: December 1, 2021.
Citation: Saleh Abdulmoneim Alomary et al. Machine Learning in Otorhinolaryngology, Head and Neck Surgery and its applications in diagnosis and management: Undergraduates Perception toward New Era. World Family Medicine. 2021; 19(12): 137-148 DOI: 10.5742/MEWFM.2021.94191

Abstract

Background & aim: Machine learning (ML) is a growing field concerned with predicting novel situations from previous observations. The aim of this study was to determine medical students’ perceptions of ML in otorhinolaryngology, head, and neck surgery and its applications in diagnosis and management. Also, to assess medical students’ awareness of current challenges facing the application of ML in medical practice in the Kingdom of Saudi Arabia (KSA).

Methods: A cross-sectional survey was conducted in February–May 2021 among medical students in Saudi Arabia. The participants were provided with questionnaires of the survey using electronic forms. Validation of the questionnaire was done using exploratory factor analysis and confirmatory factor analysis. There were 8 validated items on Attitude and 6 items on Knowledge.

Results: A total of 538 students completed the questionnaire. The majority of the students were familiar with machine learning in general 308 (57.3%). However, only a few of the participants were familiar with machine learning applications in the field of otorhinolaryngology, head, and neck surgery 184 (34.2%). There was a significant difference between knowledge and attitude with the current year of study and GPA score, however, gender had no difference, yet there was a significant association between attitude among male and female medical students.

Conclusion: Medical students in the KSA demonstrated a good knowledge of ML in general, although many were not familiar with machine learning applications in the field.

Key words: Machine learning, Otorhinolaryngology, Medical student, Kingdom of Saudi Arabia







 


 

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