Objectives:
1. Analyze the role of artificial intelligence (AI) to improve melanoma early detection
2. Evaluate the dilemma of melanoma overdiagnosis as it relates to AI
3. Outline the challenges and performance of AI in real-world clinical settings
4. Integrate community health engagement and novel technologies to promote earlier detection in populations at increased risk of lethal melanomas
Zoom:
Join from PC, Mac, iPad, or Android: https://uwmadison.zoom.us/webinar/register/WN_CWDkDHZ7TaWtcckSdMc7Hg
Meeting ID: 964 3922 7117; Passcode: 043571
Phone one-tap: +13126266799,,96439227117# US (Chicago); +16469313860,,96439227117# US
Join via audio: +1 312 626 6799 US (Chicago); +1 646 931 3860 US; +1 929 205 6099 US (New York); +1 301 715 8592 US (Washington DC); +1 305 224 1968 US; +1 309 205 3325 US; +1 689 278 1000 US; +1 719 359 4580 US; +1 253 205 0468 US; +1 253 215 8782 US (Tacoma); +1 346 248 7799 US (Houston); +1 360 209 5623 US; +1 386 347 5053 US; +1 507 473 4847 US; +1 564 217 2000 US; +1 669 444 9171 US; +1 669 900 6833 US (San Jose);
Webinar ID: 964 3922 7117
International numbers available: https://uwmadison.zoom.us/u/aeJ5RZVb8P
Join from an H.323/SIP room system: H.323: 144.195.19.161 (US West) or 206.247.11.121 (US East) Meeting ID: 964 3922 7117; Passcode: 043571
SIP: [email protected]; Passcode: 043571
- 1.00 AAPA Category 1 CME
- 1.00 ACPE Contact Hours - Pharmacist
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC Contact Hours
- 1.00 University of Wisconsin–Madison Continuing Education Hours
- 1.00 Approved for AMA PRA Category 1 Credit™

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