01:02:44

Navigating AI in Medicine: Opportunities & Risks of Large Language Models in Real-World Tasks (Z Lu)

01:00:26

Patients and Clinicians at the heart of health innovation: OpenNotes Lab and Cornell Tech ...

01:03:25

GWAS in the age of AI (Degui Zhi)

01:04:38

Reflections on AI in (NYC) government (Neal Parikh, Sept. 16 Seminar)

55:18

Prediction of non emergent acute care utilization and cost among patients receiving Medicaid

55:42

Temporal Relation Extraction from EMR Clinical Text (and Beyond) (Geurgana Savova)

56:02

Who's Tool is it Anyway: Engaging Clinicians and Patients as Experts when Creating Novel ...

56:58

Straying from the Path of Totality: Issues Requiring Illumination for Health AI’s Next Phase

01:02:11

Integrating the healthcare ecosystem with algorithm development for accelerated impact

58:57

Understanding the Disability Community’s Needs for Communicating with Social and Caregiving Networks

01:00:38

How Do We Get There?: Toward Intelligent Behavior Intervention

01:09:21

Causal Health Equity – Toward a Taxonomy (Drago Plecko)

55:51

Enhancing Healthcare Decision-Making with AI: Towards Clinically Applicable ... (Shengpu Tang)

55:36

Learning to Assess Disease and Health In Your Home (Yuzhe Yang)

58:25

The Burden of Burden Measurement: Evaluation & Real-World Clinical Application of ... (Elise Ruan)

58:57

On Being an Outlier in a World that Worships Optimization (Rua Williams)

01:00:46

Helping physicians make sense of medical evidence with LLMs (Byron Wallace)

01:04:19

Translating FDA regulated Software as a Medical Device from Research to Practice (David Vidal)

57:46

Understanding how Neural Networks learn patterns from data (Dec. 4, Adit Radhakrishnan)

49:15

Healthcare Transformation Using AI/ML – a Use Case in Malnutrition AI Screening Tool (MAST) (H. Cao)

01:00:07

Image-based Primary Open-angle Glaucoma Diagnosis and Prognosis (Yifan Peng)

01:01:25

Improving Prediction of 30-day Hospital Readmission for Patients with Heart Failure ... (Joyce Ho)

01:00:51

Applications of Human-Centered Design to Create Inclusive Health Informatics Interventions

01:01:56

Radiomics, Radiogenomics, and AI: The Emerging Role of Imaging Biomarkers in Precision Cancer Care

01:00:32

Machine Learning in Healthcare: standing on, or looking over, the shoulders of clinicians?

01:08:44

Some mysteries about viruses and cancer

01:01:18

Justice, Equity, Fairness, and Anti-Bias (JustEFAB) ... (Sept. 18, Melissa McCradden)

01:07:11

#DATABACK: Indigenous Genomic Data Justice for Indigenous Peoples (May 1, Krystal Tsosie/Keolu Fox)

58:45

Getting Started with AI for Medical Imaging: Exploring CXR Foundation from Google Health AI

01:03:55

Finding Cardiac Disease with CRADLE: the Cardiovascular and Radiologic Deep Learning Environment

01:01:37

Designing Technologies to Support Patients as Safeguards (Wanda Pratt, March 20 Seminar)

01:05:38

Transforming the Health of Communities through Innovations in Social Computing (Dr. Andrea Parker)

01:03:14

Towards building trustworthy AI systems in Medicine – research and experiences ... Riccardo Bellazzi

01:05:30

AMIA Biomedical Informatics Year in Review (James Cimino, Feb. 20 DBMI Seminar)

56:19

Big Data and Wearables for Managing Health (Michael Snyder, DBMI Seminar)

58:46

Disability accessibility and fairness in Artificial Intelligence (AI) (Cynthia Bennett, Feb. 6)

01:00:37

Leveraging human brain connectomes to derive quantitative biomarkers for mood ... (Leonardo Tozzi)

56:54

Toward Precision Cardiology with Machine Learning and Genomics (Chris Haggerty, DBMI Seminar)

01:06:56

Standardizing the Unstandardizable: The Case of Sex and Gender (Clair Kronk, Dec. 5, 2022)

01:00:13

DEI Special Seminar: Algorithmic bias and data platforms (Ziad Obermeyer)

48:27

Demonstrating reliability of RW evidence: Validation of OHDSI’s LEGEND Hypertension study (P Ryan)

53:35

Seminar: Data-aware modeling and integration in genomics and biomedicine (Ritambhara Singh)

57:42

Seminar: The Data Analysis and Real World Interrogation Network (DARWIN EU) (Dani Prieto-Alhambra)

01:01:34

Seminar: Multimodal deep learning for protein engineering (Kevin Yang)

59:37

Seminar: Using Machine Learning to Increase Equity in Healthcare and Public Health (Emma Pierson)

59:24

Does Social Media Support or Worsen Mental Well-Being? Well, It Depends (Munmun De Choudhury)

02:20

Drug Side Effects Across Pediatric Development Stages Identified, Shared Publicly (Med Study)

01:00:41

The eMERGE Genomic Risk Assessment and Management Network – Challenges and Opportunities (Cong Liu)

58:49

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning (Lena Mamykina)

01:01:37

Drawing Reproducible Conclusions from Observational Clinical Data (George Hripcsak, Mar 8, 2022)

03:57

DBMI Summer Research Experience: Testimonial from Bria M.

04:33

DBMI Summer Research Experience: Testimonial from Jason P.

01:01:58

Prediction-driven surge planning with applications in the emergency department (Carri Chan, PhD)

44:32

Are phenotyping algorithms fair for underrepresented minorities within older adults? (J. Banda)

01:00:34

Seminar: Predictive modeling for self-tracking apps: a case study in menstrual health (N. Elhadad)

01:03:58

DBMI Seminar: AI Tools for Design and Innovation (Lydia Chilton)

01:03:01

2021 Columbia DBMI Program and Application Information Session

58:34

DBMI Seminar: What the CONCERN Study Taught Us About Racial Bias in Nursing Workflow (Kenrick Cato)

01:13:30

DBMI Seminar: Machine Learning Applications in Cardiology (Pierre Elias • Oct. 11, 2021)

06:58

2021 Columbia Summer Research Series: Shreyas Bhave