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Maya Khalifé – Precision Oncology: Empowering Radiologists and Oncologists With AI-driven Workflow for Better Clinical Decisions in Cancer Patients (AI PHI Affinity Group)

January 13, 2023 @ 9:00 am - 10:00 am

Free
Announcement for the January Affinity Group Meeting

Thank you for coming!

The recording for this meeting is available below:

Topic

Precision Oncology: Empowering Radiologists and Oncologists With AI-driven Workflow for Better Clinical Decisions in Cancer Patients

Precision Oncology: Empowering Radiologists With AI-driven Workflow for Better Clinical Decisions in Cancer Patients, will uncover the capabilities of Arterys cloud-based intelligent diagnostic platform that combines clinical AI and workflow optimization to empower physicians to make more accurate & data-driven clinical decisions.
Our presentation will showcase Arterys’ AI-based oncology platform and demonstrate how it provides comprehensive cancer patient reporting and follow-up through an innovative and efficient workflow. Arterys enables physicians to make more informed treatment decisions and helps patients live longer and healthier lives.

Presented by Maya Khalifé

Maya Khalifé, PhD, Director of Product Management, is a medical imaging enthusiast with 13+ years of experience combining medical imaging and machine learning to create healthcare solutions that impact patients’ lives. Her research work focused on image processing and machine learning applied to radiology. Her mission at Arterys is conceiving and building the radiology platform of the future to deliver tangible clinical value.

Artificial Intelligence in Cancer Research – AI PHI Affinity Group

(First Friday of each month)

This group was formed to discuss the current trends and applications of artificial intelligence in cancer research and clinical practice. The group brings together AI researchers in a variety of fields (computer science, engineering, nutrition, epidemiology radiology, etc) with clinicians and advocates. Students, trainees and faculty with any or no background in AI are encouraged to attend. The goal is to foster collaborative interactions to solve problems in cancer that were thought to be unsolvable a decade ago before the broad use of deep learning and AI in medicine.

Contact: Dr. John Shepherd at johnshep@hawaii.edu or Peter Washington at pyw@hawaii.edu

Details

Date:
January 13, 2023
Time:
9:00 am - 10:00 am
Cost:
Free
Event Category:

Venue

Virtual (Zoom)

Organizer

Artificial Intelligence and Precision Health Institute (AI PHI)
View Organizer Website