Piotr Slomka PhD
@Piotr_JSlomka
Followers
579
Following
255
Statuses
181
Piotr Slomka, PhD, FACC, MASNC. Professor Artificial Intelligence In Medicine. Director of Innovation in Imaging. Cedars Sinai
Los Angeles, CA
Joined May 2018
RT @JNCjournal: Automatic motion correction for myocardial blood flow estimation via 18F-flurpiridaz PET-MPI can be performed rapidly with…
0
3
0
RT @PanithayaC: 🎉Exciting times for nuclear cardiology w! FDA approval of #Flurpiridaz! Great potential to expand clinical use of PET MPI t…
0
14
0
AI indicates extrapulmonary structures at risk on chest CT scans and predicts mortality with explanations. @radiology_rsna
2
11
33
AI predicts who will benefit from revascularization! Congratulations to Aakash Shanbhag @CedarsSinai for winning the Young Investigators Award at the Annual American Society of Nuclear Cardiology in Austin, Texas. #ASNC2024 #CVNuc
3
14
47
RT @JACCJournals: CT Attenuation Correction (CTAC) – Beyond just #CAC? #AI-based CTAC derivation can accurately estimate cardiac volumes an…
0
15
0
RT @JACCJournals: Secondary analysis of the PRE18FFIR study showed individual coronary atherosclerotic plaque activity is associated with s…
0
30
0
Great talk on how to improve fairness in AI with generative models by Ira Ktena from @GoogleDeepMind at #ISBI2024 in Athens!
0
0
11
AI-enabled CT-guided quantification of PYP SPECT for cardiac amyloidosis.
0
16
37
Mortality can be predicted from cardiac chamber and myocardial volumes derived from non-contrast ungated lung CT, coronary calcium CT, and CT attenuation scans. Adds significant information over calcium. All automatically processed by AI (18 sec per case). Nature Communications @CedarsSinai @SmidtHeart @CedarsSinaiMed
1
11
38
Congratulations Jianhang! Recognition well deserved! Fantastic talk on AI detection of proximal disease from non contrast CT.
.@CedarsSinai PhD student Jianhang Zhou was runner-up in the Young Investigators Award Competition. Congratulations @JianhangZhou! #ACC24
0
3
20
RT @ctinocomesquita: Exciting breakthrough in HF care! 🏥💓 A new AI model outperforms traditional methods in predicting hospitalizations for…
0
7
0
RT @CardioMDPhD: Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification…
0
20
0
RT @gracielagon: Happy to announce our Health AI PhD program at @CedarsSinaiMed! Thanks to @moorejh, @proftatonetti and the faculty in our…
0
25
0
More than attenuation correction! AI-segmented cardiac anatomy from SPECT/CT attenuation scans enhances risk prediction for hybrid MPI. @CedarsSinai @CedarsSinaiMed @JACCJournals
1
9
26
RT @mdicarli: 🌟 Attention Emerging Leaders in Nuclear Cardiology! The Journal of Nuclear Cardiology is excited to announce the call for a…
0
20
0
RT @PanithayaC: Don’t miss this exciting opportunity to be a part of the dynamic @JNCjournal editorial team and help shape our field! @MyAS…
0
7
0
@PanithayaC @DemiladeMD @MayoClinicCV @DrLopezJimenez Very true. We tried to mitigate deep learning bias for SPECT MPI due to referral pattern for angiography by data augumentation - it improved prediction of disease probability in women. More needs to be done.
0
0
3