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All Episodes

AI-ready Healthcare — 119 episodes · page 1 of 2

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Title
1

World Models

2

The design space of Federated Learning

3

The Bitter Lessons of Medical Continual Learning

4

Payers don't pay for Pathology AI

5

Getting Reimbursed for Radiology AI Screening

6

Long Intro to Season 17

7

Jeya Maria Jose: Microsoft Research's GigaTIME

8

Moritz Fuchs: Unknowns of MedicalAI

9

Vamsi Velcheti: Multimodal Oncology AI

10

Sara Moccia: Fetal Health Monitoring

11

Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic

12

Pierre Jannin: Responsible Medical AI

13

Mohammad Yaqub: MedicalAI made in Middle East

14

Nassir Navab: My journey

15

Francesco Ciompi: Pathology Discovery with Foundation Models

16

Miguel Angel Gonzalez Ballester: Shape, Uncertainty and Simulation

17

Sophia Bano: Context-aware Surgical Robotics

18

Bishesh Khanal: NAAMII - a model for low-resource excellence

19

100: Neural Cellular Automata, Part 2

20

John Kalkhof: Neural Cellular Automata, Part 1

21

Jakob Wasserthal: TotalSegmentator

22

Paul Barach: Trust technology for a Safer Healthcare culture

23

Jens Kleesiek: Treat Patients, Not Data

24

Ghazal Ghazaei: Total Surgery

25

Aleksei Tiulpin: Uncertain Medical VLMs

26

Pingkun Yan: Trustworthy XAI

27

Marco Lorenzi: FedBioMed

28

Ehsan Adeli: Ambient medical intelligence

29

Novelty

30

Veronika Cheplygina: The many lives of public datasets

31

Karim Lekadir: Health Equity in MICCAI

32

Zhongliang Jiang: Robotic Ultrasound

33

Linda Johnson: Clinical validation of ECG AI

34

Mauricio Reyes: XAI in Radiotherapy

35

Daniel Truhn: LLMs can perform Radiology Reporting

36

Drew Williamson: The PathChat Story

37

Jayashree kalpathy Cramer: Eye AI

38

Randy Ellis: Surgical AI in the Orthopaedics

39

Uta Schmidt-Straßburger: Oncology AI that empowers patients

40

Juan Verde: A surgeon making Operating Rooms AI-ready

41

Michael Levin: Collective and Diverse Intelligence

42

Maciej A. Mazurowski: SAM for Medical AI

43

Yiyu Shi: Resource-aware Medical AI

44

[MICCAI Special] On reviewing well

45

Hitesh Dave: The age of Computational Pathology

46

Saad Nadeem: Integrated Diagnostics

47

Naren Akash RJ: MICCAI Student Board

48

Islem Rekik: Graph Neural Nets for Brain Connectomics

49

Akshay Chaudhari: LLMs for Clinical Text Summarization

50

Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

51

H.R. Tizhoosh: Foundation models in Histopathology

52

S. Kevin Zhou: Building a Medical Time Machine

53

Alexander Hann: AI for endoscopic imaging

54

Damini Dey: Cardiology AI

55

Enzo Ferrante: Fairness in Medical AI

56

Joe Lennerz: Berlin Declaration of Health Data Sharing

57

Neel Dey: Invariances and Covariances of Medical Imaging

58

Maria Zuluaga: Trustworthy Medical AI

59

Heather Couture: Oncopathology AI

60

Pieter De Backer: AI-assisted Surgical Training

61

Camila Gonzalez: Medical Continual Learning

62

Shek Azizi: Google DeepMind's Foundational Medical Models

63

Dan Hashimoto: Making surgery AI-ready

64

Stephen Gilbert: AIaMD regulations

65

Nitika Pai: Global Digital Health

66

Swapnil Rane: Indian Image BioBank

67

Ishita Barua: Gender gap in health data

68

Raphael Sznitman: AI-powered Eye Surgery

69

Nifti 50

70

Nikos Paragios: AI-guided Precision Radiotherapy

71

Lene Topp: Science4Policy

72

Stefanie Speidel: Simulation in Surgical Data Science

73

Sotirios Tsaftaris: Causal Representation Learning

74

Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD

75

Sharib Ali: AI-powered Endoscopic Image Analysis

76

Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy

77

Monir El Azzouzi: Medical Device Regulation of AI SaMD

78

Monika Sonu: Frugal digital health innovation

79

Purang Abolmaesumi: Telehealth = POCUS+AI

80

Joseph Kvedar: Nurturing Digital Health through Nature

81

Andrew Janowczyk: Quality Assurance in histopathology images

82

Robert MacDougall: Quantivly's digital twin of radiology operations

83

Daniel Rückert: Federated Disentanglement

84

Jakob Nikolas Kather: Swarm intelligence for Oncology

85

Prateek Prasanna: Augmenting Radiologist's Knowledge into AI

86

Sailesh Conjeti: MLOps for Healthcare AI

87

Ismini Lourentzou: Chest ImaGenome

88

Matthias Unberath: Forgotten Humans of Explainable AI

89

Taufique Joarder: Policy Questions of Healthcare AI

90

Stephen Aylward: The case of Open-source software

91

Lena Maier-Hein: What does it mean to win a Biomedical Challenge?

92

Russ Taylor: The role of AI in Robotic Surgery

93

Ilker Hacihaliloglu: Ultrasound for all

94

Frank Xu: Baidu's AI, WHO's Digital Health & other stories

95

Lorenzo Righetto: Publishing MICCAI research into Nature Communications

96

Karsten Ridder: Communication is key for AI-ready Healthcare

97

Shuo Li: Will MICCAI 2022 be virtual?

98

Julia Schnabel: MICCAI goes to Africa

99

Anant Madabhushi: When MICCAI scientist meets Real Clinicians

100

Leo Joskowicz: Shaping up AI and MICCAI