chicago

I was able to attend a college basketball game at Welsh-Ryan Arena in Evanston, Illinois, on Saturday, January 11, 2020. The Northwestern University Wildcats played the University of Nebraska Cornhuskers. Welsh-Ryan Arena recently underwent $110 million of renovations that were completed in late 2018. Even though it was snowing in Evanston at the conclusion of the game, with more snow expected, Northwestern fans turned out with the attendance recorded at 5,664 out of 7,039 (80.4%). My impression though was that the attendance was less than 80% of the capacity in the arena.

Coming into the basketball game, Northwestern had lost all of their four Big Ten conference games and had lost their previous five games. Northwestern played well against Nebraska and never trailed after about 10 minutes into the first half. Northwestern prevailed to beat Nebraska with a score of 62 to 57. Northwestern was coached by Chris Collins and Nebraska was coached by former Chicago Bulls coach Fred Hoiberg.

Nebraska guard Cam Mack added 11 points and 10 rebounds and sunk a 3 three-point field goal to take Nebraska within three points of Northwestern with 51 seconds left in the game. However, Northwestern forward Miller Kopp led the team with 15 points, 5 rebounds and 1 steal, and hit two late free throws with 9 seconds left in the game to clinch the win. Northwestern guard Pat Spencer also added 14 points, 8 rebounds, 5 assists, and 1 steal. In addition, Northwestern forward Robbie Beran added a double double with 10 points and 10 rebounds.

Below are some pictures I took while at Welsh-Ryan Arena during the Nebraska vs Northwestern college basketball game.

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I was able to attend the Radiological Society of North America’s (RSNA) 105th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from December 1 to December 6, 2019. The annual meeting is a very large gathering of industry leaders in medical imaging, radiologists, and other related industry professionals. This was the 105th Scientific Assembly and Annual Meeting with the tagline: See Possibilities – Together. This year expanded focus on artificial intelligence with a brand new AI Showcase Technical Exhibit in the North Building. More than 100 companies were in the AI Showcase to demo software and products. In addition, the RSNA AI Deep Learning lab, a hands on classroom focusing on using open-source tools for deep learning, was now integrated into the AI Showcase Technical Exhibit. This year the AI Deep Learning Lab featured four unique sessions: Beginner Class: Classification Task, Segmentation, Data Science: Data Wrangling, and Generative Adversarial Networks (GANs).

This year also expanded focus on 3D Printing and Advanced Visualization with an expanded Showcase and Theater offering daily presentations on the latest research and innovations in 3D printing for medical applications. I was able to attend a presentation covering Category III CPT Codes for 3D Printing of Anatomic Models and Guides, Scripting for Segmentation, 3D Printing to Support Research, and Leveraging 3D Printing for Surgical Simulation. It was quite interesting to hear more about the Category III CPT Codes for 3D Printing, which includes 0559T, 0560T, 0561T, and 0562T that went into effect in July, 2019. This should allow for greater adoption by physicians and medical centers. Even so, for those utilizing 3D printing, it was encouraged by the presenter of the CPT code talk to sign up for the RSNA-ACR 3D Printing Registry to help support a future category I CPT code.

As usual there were numerous posters and presentations. Also as usual, there were many exhibitors with medical imaging devices ready to provide demonstrations of their latest technology. New exhibitors this year included Amazon Web Services (AWS) and Medical IP. I was able to attend a few educational courses and scientific sessions. In particular I attended the Artificial Intelligence: Cutting Edge Artificial Intelligence session and Creating Publicly Accessible Radiology Imaging Resources for Machine Learning and AI sessions. In the former session mentioned above, an interesting talk titled Defacing Neuroimages discussed image de-identification using a two-step deep learning model for head CTs and brain MRIs. In the former session, I also was intrigued by a talk titled Automated Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks that discussed automatically detecting vertebral fractures in CT images of the spine using a learning method with 3D features. The latter session featured several talks discussing practical challenges with data preparation including image pre-processing steps, techniques for creating ground truth labeling, and statistical approaches to create training and testing data sets.

Below are some of the pictures I took while at the RSNA annual meeting in 2019, in Chicago, IL.

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I attended the RSNA annual meeting last year in 2018 and the prior year in 2017, where you can find more information and photos at http://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2018-at-mccormick-place/ and http://www.toddmccollough.com/radiological-society-north-america-rsna-chicago-il-2017-mccormick-place/.

I was able to attend the Radiological Society of North America’s (RSNA) 104th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from November 25 to November 30, 2018. The annual meeting is a very large gathering of industry leaders in medical imaging, radiologists, and other related industry professionals. This was the 104th Scientific Assembly and Annual Meeting with the tagline: Tomorrow’s Radiology today. This year brought back much emphasis on machine learning and 3D printing. As usual there were many exhibitors with new medical imaging devices ready to discuss and provide demonstrations. In particular there were a few 1st time exhibitors I was excited to see including EMTensor and Butterfly Network. There was also a U.S. market debut by United Imaging Healthcare which had a large exhibitor space. As usual there were also numerous posters and presentations.

This year brought back the popular deep learning classroom presented by the NVIDIA Deep Learning Institute (DLI) designed for attendees to engage with deep learning tools, write algorithms and improve their understanding of deep learning technology. In one session, called Introduction to Deep Learning, attendees used convolutional neural networks (CNNs) along with a MedNIST data set that consists of 1,000 images each from 5 different categories: Chest X-ray, hand X-ray, Head CT, Chest CT, Abdomen CT, and Breast MRI. The task was for the attendees to identify the image type. Another session focused on 3D segmentation of Brain MR using deep learning methods for segmentation, particularly V-nets.

This year also brought back the machine learning showcase which allowed for the opportunity to network with nearly 80 companies on the forefront of the developments in machine learning and artificial intelligence. This year introduced a new showcase called the 3D printing & advanced visualization showcase which focused on groundbreaking technology in 3D printing, virtual reality and augmented reality. Another new feature this year was a Recruiters Row which allow for attendees to connect with organizations offering career opportunities. Like last year there was also a start-up showcase that featured emerging companies bringing innovations in medical imaging.

I was able to attend a few educational courses and scientific sessions. In particular I attended a session titled Image Processing in Imaging and Radiation Therapy and another session titled Deep Learning in Radiology: How Do We Do It? In the former session I was intrigued by the talk from ImBio which trained a CNN to create quality ventricle segmentations with only 43 scans in the training dataset and used data augmentations to improve the performance on the test dataset and another talk from researchers at the University of Chicago to classify chest radiographs as anteroposterior or posteroanterior. The latter session as indicated above I attended featured insights into deep learning in radiology at The Ohio State University, Stanford University, and the Mayo Clinic Rochester.

Below are some of the pictures I took while at the RSNA annual meeting in 2018, in Chicago, IL.

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I also attended last years RSNA annual meeting in 2017 which you can find more information and photos at here http://www.toddmccollough.com/radiological-society-north-america-rsna-chicago-il-2017-mccormick-place/.

I had an opportunity to attend the American Telemedicine Association 2018 Conference (ATA18), in Chicago, Illinois, at McCormick Place. The annual gathering brings together healthcare professionals, business professionals, and leaders in different areas of healthcare and technology and occurred from Sunday April 29 to Tuesday May 1, 2018. ATA18 was billed as the world’s largest telehealth networking event with a focus on the latest innovations. The term telehealth includes many technologies and ways to deliver virtual medical, health, and education services. More than 150 different exhibitors were in attendance. Attendees also had the opportunity to attend over 100 sessions.

I attended sessions including “Technology in Service to Patients and Consumers: Emerging Trends in Virtual Care,” “What Does Artificial Intelligence Have to Do with Population Health?,” and “New Models for Telehealth at Scale: Strategic Telehealth Expansion Initiatives at DoD and VA.” A doctor from Partners Healthcare in Boston discussed four different ways that they are using artificial intelligence to help in the hospital setting. For example, there was some discussion of how a good predictor for when a patient may be re-admitted is if they live alone and have no support systems. It was also interesting to see all the ways the army, navy, airforce, and department of veterans affairs of the U.S. has expanded ways to treat patients without the physician actually seeing them in an office. In particular, the navy discussed how with radiology most of their radiologists are now located in several larger cities in the U.S. and that at some of their sites there is no radiologist. Instead, around 25% to 30% of all the work the radiologists do is for other sites outside of their location. It also seemed that the largest current component for physician patient interactions is using telehealth to deliver behavioral medicine like cognitive behavioral therapy.

Below are some of the pictures I took while at the ATA annual conference in 2018, in Chicago, IL.

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I was able to attend a college basketball game at Allstate Arena in Rosemont, Illinois, on Saturday, February 17, 2018. The Northwestern University Wildcats played the Michigan State University Spartans. All homes games for the 2017 to 2018 Northwestern University basketball season are being played at Allstate Arena while Welsh-Ryan Arena undergoes a renovation.

Northwestern faced a tough opponent in Michigan State as they were the #2 AP ranked men’s college basketball team in the U.S. coming into the game. Northwestern played extremely well in the first half and led by 27 points at one point before going into halftime up 49 to 27. However, Northwestern struggled in the second half scoring only 11 points total. Michigan State won the game with a score of 65 to 60.

Northwestern forward Vic Law lead the team with 21 points and 5 assists. Northwestern forward Gavin Skelly added 11 points and 2 rebounds and center Dererk Pardon had 8 points and 6 rebounds; however, both had foul trouble late and had trouble staying on the floor. Michigan State guard Cassius Winston had 17 points, 10 rebounds, and 7 assists. Northwestern had a chance to knock off a top team, but failed to score for more than than 11 minutes in the second half.

Below are some pictures I took while at Allstate Arena during the Michigan State vs Northwestern college basketball game.

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