50 AI/CNN project ideas related to healthcare and medicine:
- Detecting pneumonia in chest X-rays
- Classifying skin lesions and melanomas
- Brain tumor classification using MRI scans
- Breast cancer classification in mammograms
- Detecting diabetic retinopathy in eye scans
- Finding cardiac arrhythmia in ECG signals
- Cancer type classification from histology images
- Detecting tuberculosis in chest radiographs
- Segmenting anatomical structures in medical images
- Predicting Alzheimer’s disease from brain MRI scans
- Detecting mitosis in histology images
- Diagnosing autism from fMRI brain scans
- Quantifying emphysema patterns in lung CT scan
- Detecting cervical cancer from pap smears
- Classifying audiogram patterns in hearing loss
- Analyzing abnormalities in ophthalmology
- Identifying COVID-19 in chest CT scans
- Assessing fracture risk from bone X-rays
- Detecting breast cancer metastases in lymph nodes
- Grading cataract severity from eye images
- Evaluating arthritis from joint X-rays
- Assessing spinal abnormalities from radiographs
- Characterizing Multiple Sclerosis lesions
- Detecting neurological disorders from EEG signals
- Diagnosing psychiatric disorders from fMRI scans
- Predicting cardiovascular risk from retinal fundus images
- Classifying kidney diseases from CT/MRI
- Detecting spinal fractures from radiographs
- Predicting preterm births from ultrasound images
- Analyzing dental conditions from radiographs
- Diagnosing pediatric pneumonia from chest X-rays
- Detecting orthopedic injuries from musculoskeletal MRI
- Analyzing chromosomal abnormalities
- Detecting glaucoma from retinal OCT scans
- Classifying skin cancer subtypes histology images
- Predicting drug effects from gene expression data
- Detecting diabetic neuropathy from retinal images
- Identifying pathogenic bacteria using microscopy
- Analyzing cellular structures through digital pathology
- Assessing trauma severity from CT scans
- Detecting medical equipment faults and errors
- Predicting sepsis onset from clinical time-series data
- Anomaly detection in medical claims data
- Quantifying muscle degradation via ultrasounds
- Analyzing posture and gait abnormalities
- Detecting pressure injuries from photographs
- Monitoring fetal development via ultrasound
- Diagnosing tropical diseases using microscopic images
- Predicting complications in surgical procedures
- Monitoring ICU patient deterioration