I-ARRS Machine Learning (ML) kanye ne-Artificial Intelligence (AI) ku-Radiology Online Course 2021

Isifundo Esigcwele Sevidiyo

UZOTHOLA ISIQINISEKISO NGOKUXELWA KWESIKHATHI SOKUPHILA KWESIKHATHI SOKUPHILA NGOKUSHESHA NGEMVA KOKUKHOKHWA

Ukugxila ezintweni eziyisisekelo zokufunda ngomshini (ML) kanye nokuhlakanipha okufakelwayo (i-AI) ku-radiology, kanye nokusetshenziswa kwamanje kwemitholampilo kanye nentuthuko esetshenzisiwe yesikhathi esizayo, ababambiqhaza kule Course Course bazohlonyiswa kangcono ukuhlola nokusebenzisa ngokusobala izinhlelo ze-ML ne-AI ezinhlelweni zabo imikhuba yabo yokuthatha izithombe

Imiphumela yokufunda kanye nezinkulumo

Ngemuva kokuphothula le nkambo, umfundi kufanele akwazi:

• Xoxa ngezinto eziyisisekelo zokufunda ngomshini nobuhlakani bokufakelwa
• Chaza ukuthi ubuchule be-AI bungathinteka kanjani ngokuchema
• Bona umthelela wezinhlelo ze-AI ekucabangeni komtholampilo
• Hlola izimangalo ezintsha ze-AI neminikelo bese uhlukanisa i-hype neqiniso ku-Radiology AI
• Xoxa ngokuthi i-Radiology AI isetshenziswa kanjani njengamanje ekucabangeni nge-cardiothoracic
• Inkomba yentuthuko yesikhathi esizayo ku-AI ku-Radiology
• Bona ezinye izindlela zokuziphatha ku-Radiology AI

Usuku lokukhishwa: February 22, 2021
Idethi yokuphelelwa yisikhathi: February 21, 202

Izihloko Nezipikha:

I-Module 1

• I-Radiology AI: Beyond the Hype—UJohn Banja, MD
• Izisekelo Zokufunda Komshini ne-AI—USteven Li, MA

I-Module 2

• Ukuchema ku-AI—UMichael Bruno, MD
• I-AI ku-Lung Imaging ne-Cardiac Radiomics—U-Anthony Reeves, Ph.D

I-Module 3

• I-AI kanye Nokubonisana Komtholampilo: I-Mirror noma i-Heuristics-UDavid Chartash, Ph.D
• Umgwaqo Ohamba Phambili we-AI ku-Radiology—UCharles Kahn, MD