Lab news, in the open.
Announcements and long-form posts from the Stroke Innovation Lab, republished here as local ncrit.dev pages in the site theme. Every “read the post” link now stays on this site.
01 / Latest
Announcements
- Luke Zhang completes T-CAIREM Summer 2026. Luke worked on Pal-MASA alongside Dr. Emmanuel Adegunna and gave a great final presentation. Findings to follow. Read the local post.
- Welcoming Luke Zhang (University of Toronto) for the Summer 2026 T-CAIREM Program, on Pal-MASA.
- Pal-MASA announced as our 2026 T-CAIREM project — expanding ML voice analysis for dysphagia screening beyond stroke.
- SEE-2-SOUND accepted at SIGGRAPH 2025. Led by Rishit Dagli — work with commercial and medical use-cases. Read the local post.
- Dr. Khosravani spoke to Sunnybrook’s REB on AI in research ethics review, grant applications, methodology review, and process standardization.
- Announcing Pal-MASA — ML voice analysis for dysphagia screening beyond stroke, supported by AFP MD Funding.
- SEE-2-SOUND — spatial audio generation from visual media, with applications for vision loss (e.g., bilateral occipital stroke). arXiv paper.
- Tuning In accepted to CHIL 2024 (Conference on Health Inference and Learning, NYC). arXiv paper.
- Published: Retrospective Analysis of the Integration of Palliative Care Into the Care of Stroke Patients Admitted to a Regional Stroke Center. PubMed.
- Tuning In preprint posted. arXiv:2402.10100.
- Thanks to everyone who applied for the T-CAIREM Summer 2024 studentship — a talented pool. Interested in volunteering? Get in touch.
- Project MASA manuscript published in Frontiers in Neuroscience. Read the paper.
- At T-CAIREM: Eptehal Nashnoush presented Project MASA (for Rami Saab); Hamza Mahdi’s talk with Eptehal won the T-CAIREM Conference 2023 Short Research Presentation award.
- Rami Saab at T-CAIREM Trainee Rounds; Eptehal Nashnoush at the T-CAIREM Summer Mini-Conference; lab posters at the T-CAIREM AI in Medicine Conference (Oct 12–13, 2023).
02 / Writing
From the SiLab blog
- Aug 22, 2026 · AI, ML, QI · 2 minCongratulations Luke Zhang: T-CAIREM Summer 2026 Complete
Pal-MASA summer work with Dr. Adegunna — technical depth, clinical grounding. - Feb 28, 2026 · AI, QI, Stroke · 1 minPal-MASA Project: Next Phase of AI for QI
Data recording complete; modeling and analysis through Summer 2026. - Jan 30, 2026 · AI, Academic, QI · 2 minProject APEX: A Framework for AI in Senior Promotion at U of T
With Dr. Brian Wong — fair, transparent AI support for high-stakes academic decisions. - Aug 10, 2025 · ML, Tech, Stroke · 1 minSee-2-Sound @ SIGGRAPH 2025
Training-free image/video-to-5.1-spatial-audio, built from off-the-shelf models. - Aug 1, 2024 · ML, Tech, Stroke · 5 minSee-2-Sound: How Spatial Audio Has Potential for Clinical Applications
Source estimation, mono generation (CoDi), and room-acoustic rendering — and why it matters after occipital stroke. - Jul 1, 2024 · MLTuning In: How Audio Analysis Is Revolutionizing Clinical Diagnostics
Audio classifiers with limited data: NIHSS-speech and sustained-vowel datasets. - May 12, 2024 · Palliative careRoutine Integration of Palliative Care into Stroke Unit Care
Only 28.8% of stroke patients who died received a palliative consultation (median 6 days) — missed opportunities for earlier care. - Feb 19, 2024 · ML, StrokeDeep Learning and Voice Analysis: New Frontiers in Stroke Diagnosis
Pre-training, spectrogram strategy (Mel RGB vs mono vs Superlet), and small-data diagnostics. - Nov 23, 2023 · ML, QI, StrokeAdvancing Dysphagia Screening: A Deep Learning Approach
Project MASA proof-of-concept: 68 patients, DenseNet + ConvNeXt on Mel-spectrograms. - Nov 22, 2023 · AcademicMentorship
- Jul 10, 2023 · ICU / StrokeWatch the Beta-Blockers! · Computing
- Dec 2022 · Tech / AIMusings on ChatGPT · ChatGPT & Stroke
- 2018 · Stroke / ICU archiveDetails of CTP · WAKE-UP · Stroke Guidelines 2018 (AHA) · RRT in Sepsis · Online Seizure
- 2014 · ICU archiveFrailty · TTM
Browse by category on the original blog: Stroke, ML, AI, QI, Palliative Care, ICU, Computing. Open-source code: UofTNeurology on GitHub.