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AI Use Cases
A collection of over 250 uses for artificial intelligence
A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more
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Healthcare AI Use Cases
Counting cells in microscope images
AI can assist in counting cells in microscope images to improve accuracy and efficiency in laboratory analyses.
X-Ray image analysis
analysing X-rays and other medical images to assist in diagnosis and treatment planning
Mammogram analysis
AI analyses mammograms to detect early signs of breast cancer, aiding in early diagnosis and treatment planning.
Lung cancer screening
AI helps in screening for lung cancer by analysing chest X-rays and CT scans to identify potential malignancies.
Diagnosis from patient data
Identifying patterns in patient-reported symptoms to aid in early disease detection
Skin cancer classification
AI classifies images of skin lesions to detect potential skin cancer, improving early diagnosis and treatment outcomes.
Prognosis creation from diagnosis
Generating prognosis reports based on initial diagnosis to predict disease progression and treatment outcomes.
Chatbots to aid diagnosis and reduce human presence
Utilizing AI-powered chatbots to gather patient information and provide preliminary diagnosis, reducing the need for human intervention.
Blood panel analysis
AI analyses blood panel results to identify abnormalities and assist in diagnosing various conditions.
How genes impact health
analysing genetic data to understand how gene variations affect health and susceptibility to diseases.
Genetic marker identification and consideration
Identifying genetic markers to tailor treatments based on individual genetic profiles and reduce side effects.
Drug discovery
Using AI to expedite the drug discovery process by analysing potential drug candidates and predicting their efficacy.
Patient risk prediction
Identifying high-risk patients for specific diseases based on questionnaire data and medical history
Outbreak detection
Using AI to detect and predict outbreaks of infectious diseases by analysing trends in patient data.
Disease infection prediction
Predicting the likelihood of disease infections in populations based on historical data and trends.
Patient insights
Gaining insights into patient health trends and risk factors through comprehensive data analysis.
Monitoring personal protective equipment (PPE) compliance through image recognition
Using AI to ensure compliance with PPE protocols by analysing images and detecting proper usage.
Providing personalized health recommendations and advice based on questionnaire responses
AI offers personalized health recommendations and advice tailored to individual responses from health questionnaires.
Real-time patient translation services
Providing real-time language translation services for patients with limited English proficiency
Recommending relevant clinical trials or research studies based on patient profiles
AI suggests clinical trials or research studies relevant to individual patient profiles, aiding in personalized treatment.
Patient resource prediction
Optimizing healthcare resource allocation by forecasting future patient needs using ML models
Readmission risk prediction
Predicting patient risk of hospital readmission based on ML analysis of questionnaire data
Wound healing image analysis
Assessing wound healing progress through visual analysis of images submitted by patients
Detecting physical abuse or neglect
Identifying signs of physical abuse or neglect through visual inspection of patient images and past history
Patient scheduling
Optimizing patient scheduling and appointment booking based on clinic availability and patient preferences.