<div dir="ltr">This can be of interest to many of us.<div><br></div><div>Cheers,</div><div>Artur<br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Christy Melucci</strong> <span dir="auto"><<a href="mailto:cmelucci@andrew.cmu.edu">cmelucci@andrew.cmu.edu</a>></span><br>Date: Fri, Jan 21, 2022 at 4:01 PM<br>Subject: FW: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JANUARY 26, 2022 - 3PM (EST) ---ZOOM INFO BELOW<br>To: <a href="mailto:ml-core-faculty@cs.cmu.edu">ml-core-faculty@cs.cmu.edu</a> <<a href="mailto:ml-core-faculty@cs.cmu.edu">ml-core-faculty@cs.cmu.edu</a>>, <a href="mailto:ml-seminar@cs.cmu.edu">ml-seminar@cs.cmu.edu</a> <<a href="mailto:ml-seminar@cs.cmu.edu">ml-seminar@cs.cmu.edu</a>><br>Cc: Visweswaran, Shyam <<a href="mailto:shv3@pitt.edu">shv3@pitt.edu</a>>, Bartolotta, Genine M <<a href="mailto:bartgm@pitt.edu">bartgm@pitt.edu</a>>, Batmanghelich, Kayhan <<a href="mailto:kayhan@pitt.edu">kayhan@pitt.edu</a>>, Roni Rosenfeld <<a href="mailto:roni@cs.cmu.edu">roni@cs.cmu.edu</a>><br></div><br><br>
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<p class="MsoNormal"><b>From:</b> Bartolotta, Genine M <<a href="mailto:bartgm@pitt.edu" target="_blank">bartgm@pitt.edu</a>> <br>
<b>Sent:</b> Friday, January 21, 2022 3:46 PM<br>
<b>Cc:</b> Batmanghelich, Kayhan <<a href="mailto:kayhan@pitt.edu" target="_blank">kayhan@pitt.edu</a>>; Visweswaran, Shyam <<a href="mailto:shv3@pitt.edu" target="_blank">shv3@pitt.edu</a>><br>
<b>Subject:</b> MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JANUARY 26, 2022 - 3PM (EST) ---ZOOM INFO BELOW<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif">Machine Learning in Medicine (MLxMed)<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif">A Virtual Seminar Series in Pittsburgh<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-family:"Arial",sans-serif">Hosted by the Department of Biomedical Informatics</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><u></u><u></u></span></b></p>
<p class="MsoNormal"><span style="font-size:3.0pt;font-family:"Arial",sans-serif;color:black"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><i><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#0000cc">Wednesday, January 26, 2022<u></u><u></u></span></i></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><i><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#0000cc">3:00 PM – 4:00 PM Eastern Time
<br>
University of Pittsburgh, UPMC, and CMU<u></u><u></u></span></i></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif;color:#201f1e;background:white">Artificial Intelligence in Clinical Medicine:<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif;color:#201f1e;background:white">What makes a good machine learning model for clinical applications?<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:10.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif">Zoom</span></b><span style="font-size:16.0pt;font-family:"Arial",sans-serif;color:black">
</span><a href="https://pitt.zoom.us/j/97941360439" target="_blank"><b><span style="font-size:16.0pt;font-family:"Arial",sans-serif;color:#0000cc">https://pitt.zoom.us/j/97941360439</span></b></a><span style="font-family:"Arial",sans-serif;color:#0000cc">
</span><span style="font-family:"Arial",sans-serif;color:black"><u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-family:"Arial",sans-serif;color:black">(</span></b><b><span style="font-family:"Arial",sans-serif;color:#c00000">details are listed at the end</span></b><b><span style="font-family:"Arial",sans-serif;color:black">)</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black"><u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Arial",sans-serif;color:black"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:18.0pt;font-family:"Arial",sans-serif">Collin M. Stultz, MD, PhD<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Nina T. and Robert H. Rubin Professor in Medical Engineering and Science,
<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Abstract: </span></b><span style="font-family:"Arial",sans-serif">Although applications of Machine Learning (ML) are now pervasive in the clinical
literature, ML has yet to be embraced by the clinical community. So, what constitutes a good machine learning model for clinical applications? Certainly, a necessary condition for the success of any machine learning model is that it achieves an accuracy
that is superior to pre-existing methods. In the healthcare sphere, however, accuracy alone does not, nor should it, ensure that a model will gain clinical acceptance. In view of the fact that no model, in practice, has 100% accuracy, attempts to understand
when a given model is likely to fail should form an important part of the evaluation of any machine learning model that will be used clinically. Moreover, the most useful clinical models are explainable in the sense that it is possible to clearly articulate
why the model arrives at a particular result for a given set of inputs. In this talk I will expand upon these challenges that make the creation of clinically useful ML models particularly difficult, and discuss ways in which they can be overcome.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p align="center" style="margin:0in;text-align:center"><b><span style="font-family:"Arial",sans-serif;color:black">About MLxMed Seminar Series<u></u><u></u></span></b></p>
<p align="center" style="margin:0in;text-align:center"><b><span style="font-family:"Arial",sans-serif;color:black">(</span></b><a href="https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fml-in-medicine.org%2F&data=02%7C01%7Ccafeo%40pitt.edu%7Cfd9284768d884c01352b08d816ea4fa8%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C0%7C637284542905912546&sdata=6NKlakpjZ8taWQlU7RklCdS%2F7tDHw6SIhKAfiZYtr8M%3D&reserved=0" target="_blank"><b><span style="font-family:"Arial",sans-serif;color:#0000cc">http://ml-in-medicine.org/</span></b></a><b><span style="font-family:"Arial",sans-serif;color:black">)<u></u><u></u></span></b></p>
<p align="center" style="margin:0in;text-align:center"><b><span style="font-family:"Arial",sans-serif;color:black"><u></u> <u></u></span></b></p>
<p style="margin:0in;text-align:justify"><span style="font-family:"Arial",sans-serif;color:black">Medicine is complex and data-driven while discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support,
enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment,
and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support. For more information see MLxMed website.<u></u><u></u></span></p>
<p style="margin:0in;text-align:justify"><span class="m_-6668306409619707557MsoHyperlink"><u></u><span style="text-decoration:none"> </span><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#0000cc">Zoom Information</span></b><b><span style="font-size:14.0pt;color:#0000cc"><u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:black"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:black">When: January 26, 2022 03:00 PM Eastern Time (US and Canada)<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:black"><u></u> <u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif">Please click the link below to join the webinar:<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><a href="https://pitt.zoom.us/j/97941360439" target="_blank"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#0000cc">https://pitt.zoom.us/j/97941360439</span></b></a><span class="m_-6668306409619707557MsoHyperlink"><span style="color:#0000cc"><u></u><u></u></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Or One tap mobile :<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">US<b>:
<span style="color:#0000cc">+12678310333,,97941360439# or 8778535247,,97941360439#</span></b> (Toll Free)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:7.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Or Telephone:<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Dial(for higher quality, dial a number based on your current location):<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">US: +1 267 831 0333 or 877 853 5247 (Toll Free)<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Webinar ID: 979 4136 0439<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">International numbers available<b><span style="color:#0000cc">:
</span></b></span><a href="https://pitt.zoom.us/u/ahon5yBXB" target="_blank"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#0000cc">https://pitt.zoom.us/u/ahon5yBXB</span></b></a><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#0000cc"><u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:7.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Or an H.323/SIP room system:<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">H.323:<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">162.255.37.11 (US West)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">162.255.36.11 (US East)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">115.114.131.7 (India Mumbai)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">115.114.115.7 (India Hyderabad)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">213.19.144.110 (Amsterdam Netherlands)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">213.244.140.110 (Germany)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">103.122.166.55 (Australia Sydney)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">103.122.167.55 (Australia Melbourne)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">149.137.40.110 (Singapore)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">64.211.144.160 (Brazil)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">149.137.68.253 (Mexico)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">69.174.57.160 (Canada Toronto)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">65.39.152.160 (Canada Vancouver)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">207.226.132.110 (Japan Tokyo)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">149.137.24.110 (Japan Osaka)<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Meeting ID: 979 4136 0439<u></u><u></u></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">SIP:
</span></b><a href="mailto:97941360439@zoomcrc.com" target="_blank"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#0000cc">97941360439@zoomcrc.com</span></b></a><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#0000cc">
</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><u></u><u></u></span></b></p>
<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:9.0pt;font-family:"Arial",sans-serif">Genine M. Bartolotta</span></b><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:9.0pt;font-family:"Arial",sans-serif">Department of Biomedical Informatics</span></b><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:9.0pt;font-family:"Arial",sans-serif">University of Pittsburgh, School of Medicine</span></b><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">The Offices at Baum, Fourth Floor</span><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">5607 Baum Boulevard</span><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">Pittsburgh, PA 15206-3701</span><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">Phone: (412) 624-5100<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">Cell Phone: (412) 877-4872</span><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">FAX: (412) 648-9118</span><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif">E-mail:
</span><b><span style="font-size:9.0pt;font-family:"Arial",sans-serif"><a href="mailto:bartgm@pitt.edu" target="_blank"><span style="color:blue">bartgm@pitt.edu</span></a> (preferred)</span></b><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:8.0pt;font-family:"Arial",sans-serif"><a href="mailto:bartolottagm@upmc.edu" target="_blank"><span style="color:blue">bartolottagm@upmc.edu</span></a><u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><u></u> <u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">This e-mail may contain confidential information of the sending</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">organization. Any unauthorized or improper disclosure, copying,</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">distribution, or use of the contents of this e-mail and attached</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">document(s) is prohibited. The information contained in this</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">e-mail and attached document(s)is intended only for the</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">personal and confidential use of the recipient(s) named</span></i><u></u><u></u></p>
<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:red">in original e-mail and attached document(s).<u></u><u></u></span></i></p>
<p class="MsoNormal"><u></u> <u></u></p>
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