consumerfeelingsand beliefstowards AICost of AImodel training,data storage,and cloudcomputingwait timesformedicalservicesWho is liableif somethinggoes wrong?Benefitsvs Riskstype ofdata antibioticresistanceData on AIadoptionrates inhealthcare.lawsuits frommisdiagnosesdoctor-to-patientratiosRegulatoryCompliance -e.g FDA,HIPAA (U.S.),GDPR(Europe),data aboutdiagnosistools inremotelocationsPresenceof AI-in-healthcareregulationsdata aboutdiagnosistechniquesin remotelocationsoveralleffectivenessof using AI inthe medicalfieldconsumerfeelings andbeliefs towardsAI in themedical fieldSpreadofdiseases,Is the useof AI fairtopatients? Data on ruralvs. urbanhealthcaredisparitiesIs AI legallyallowed totreatpatients?Ethical?where dopeople drawthelineData that canshow us theinefficiencies ofnot havingpropertechnologyriskfactorsusing AI,Is AI legallyallowed todiagnosepatients?penalties forregulatorynon-complianceconsumerfeelingsand beliefstowards AICost of AImodel training,data storage,and cloudcomputingwait timesformedicalservicesWho is liableif somethinggoes wrong?Benefitsvs Riskstype ofdata antibioticresistanceData on AIadoptionrates inhealthcare.lawsuits frommisdiagnosesdoctor-to-patientratiosRegulatoryCompliance -e.g FDA,HIPAA (U.S.),GDPR(Europe),data aboutdiagnosistools inremotelocationsPresenceof AI-in-healthcareregulationsdata aboutdiagnosistechniquesin remotelocationsoveralleffectivenessof using AI inthe medicalfieldconsumerfeelings andbeliefs towardsAI in themedical fieldSpreadofdiseases,Is the useof AI fairtopatients? Data on ruralvs. urbanhealthcaredisparitiesIs AI legallyallowed totreatpatients?Ethical?where dopeople drawthelineData that canshow us theinefficiencies ofnot havingpropertechnologyriskfactorsusing AI,Is AI legallyallowed todiagnosepatients?penalties forregulatorynon-compliance

Untitled Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
  1. consumer feelings and beliefs towards AI
  2. Cost of AI model training, data storage, and cloud computing
  3. wait times for medical services
  4. Who is liable if something goes wrong?
  5. Benefits vs Risks type of data
  6. antibiotic resistance
  7. Data on AI adoption rates in healthcare.
  8. lawsuits from misdiagnoses
  9. doctor-to-patient ratios
  10. Regulatory Compliance - e.g FDA, HIPAA (U.S.), GDPR (Europe),
  11. data about diagnosis tools in remote locations
  12. Presence of AI-in-healthcare regulations
  13. data about diagnosis techniques in remote locations
  14. overall effectiveness of using AI in the medical field
  15. consumer feelings and beliefs towards AI in the medical field
  16. Spread of diseases,
  17. Is the use of AI fair to patients?
  18. Data on rural vs. urban healthcare disparities
  19. Is AI legally allowed to treat patients?
  20. Ethical? where do people draw the line
  21. Data that can show us the inefficiencies of not having proper technology
  22. risk factors using AI,
  23. Is AI legally allowed to diagnose patients?
  24. penalties for regulatory non-compliance