Explainable AI and Automated Diagnosis for Patient Care
Faculty Roundtable with Dr. Qian Wang (2025 Wilson Distinguished Lecture Series Speaker)
Target Audience
Primary Department: USC School of Medicine Greenville
Primary Audience: Practicing Physicians
Learning Objectives
1. Discuss potential uses for AI in the medical field
2. Explain how automated diagnosis might change medical work
3. Discuss how the basic sciences might increasingly interact with AI to advance medicine
Additional Information
| Attachment | Size |
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| 138.57 KB |


Dr. Qian Wang
Chair of Chemistry and Biochemistry, at UofSC
Carolina Distinguished Professor
B.A. (1992) & Ph.D.(1997), Tsinghua University
Postdoc. (97-99), University of Lausanne
Postdoc & Senior Res. Associate (99-03),
The Scripps Research Institute
The University of South Carolina School of Medicine Greenville is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of South Carolina School of Medicine Greenville designates this live activity for a maximum of 1 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Available Credit
- 1.00 AMA PRA Category 1 Credit(s)™The University of South Carolina School of Medicine Greenville designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The University of South Carolina School of Medicine Greenville is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. - 1.00 Attendance
Thank you for enrolling in this learning activity. Please click on the "Take Course" button to complete the activity evaluation and claim credit. If you have any questions, please contact the CME Office at [email protected].

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