# RADIOL 913: AI in Healthcare: a Practical Introduction | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/RADIOL_913)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

9fc34e41890f9faeb16edfdc8123791ecc10033776a9d84486554e2de09c4663

### course id

RADIOL 913

### course uid

course\_b7ece8d955ccc478a06f1f4f

### catalog version id

1f9e4d53e86ad4e328bd6fdca06c7ea49ab354cda37f4a6147ff949a38d0eed0

### course number

913

### subjects

* RADIOL

### title

AI IN HEALTHCARE: A PRACTICAL INTRODUCTION

### description

An introduction to the rapidly developing field of artificial intelligence (AI) and its transformative potential in healthcare. Gain a foundational understanding of core AI concepts, including machine learning, deep learning, natural language processing, and multimodal AI. Explore the application of AI in diverse medical specialties, including radiology, pathology, cardiology, and surgery. Examine the ethical and societal implications of AI in clinical practice.

### requirements text

MED SC-M 810,811,812, and813

### credits min

2

### credits max

2

### credit offering ids

* 1272:832:027230

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

aaa0d30fe3913e763561be3d8abcc4174bad071f62342adb38ca43e4889b36e6

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

An introduction to AI and its transformative potential in healthcare, covering core concepts and clinical applications.

### llm topics

* Core AI concepts: machine learning, deep learning, natural language processing, and multimodal AI.
* Application of AI in medical specialties: radiology, pathology, cardiology, and surgery.
* Ethical and societal implications of AI in clinical practice.

### llm skills

* Foundational understanding of AI concepts, application in medical specialties, and examination of ethical/societal implications.

### llm assumed background

* Foundational knowledge of core AI concepts including machine learning, deep learning, NLP, and multimodal AI.
* Understanding of medical specialties such as radiology, pathology, cardiology, and surgery.

### llm search phrases

* AI in healthcare
* machine learning medical applications
* deep learning radiology
* multimodal AI clinical practice
* AI ethics healthcare

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

5a3b7bfa894ab9192006444fd24959e04118bc865d3096094c81d5bc0b6a5ec7

#### course id

RADIOL 913

#### current instructors

```json
[
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    "message": "No course-specific reviews available",
    "name": "Matthew Lee",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

None recorded.

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name        | email            | first\_observed\_at              | last\_observed\_at               | instructor\_url           |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ----------- | ---------------- | -------------------------------- | -------------------------------- | ------------------------- |
| instructor\_d223447365813dc49b52c75f | enrollment | mhlee3                 | netid           | source\_identified | Matthew Lee | MHLEE3\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MATTHEW\_LEE |

### offerings

```json
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### sections

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    "identity_basis": "class_number",
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    "capacity": 0,
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    "start_date": "2026-09-28 05:00:00+00:00",
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]
```

### grade instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name        | email            | first\_observed\_at              | last\_observed\_at               | instructor\_url           |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ----------- | ---------------- | -------------------------------- | -------------------------------- | ------------------------- |
| instructor\_d223447365813dc49b52c75f | enrollment | mhlee3                 | netid           | source\_identified | Matthew Lee | MHLEE3\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MATTHEW\_LEE |

### grades

None recorded.

### statistics

#### graded

0

#### counts

* 0
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b7ece8d955ccc478a06f1f4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b7ece8d955ccc478a06f1f4f-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b7ece8d955ccc478a06f1f4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b7ece8d955ccc478a06f1f4f-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b7ece8d955ccc478a06f1f4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b7ece8d955ccc478a06f1f4f-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b7ece8d955ccc478a06f1f4f-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b7ece8d955ccc478a06f1f4f-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## instructor Trends

None recorded.

## following

None recorded.