Sarah Ajrouche, Lisa Louis, Maxime Esvan, Anthony Chapron, Ronan Garlantezec, Emmanuel Allory
HbA1c changes in a deprived population who followed or not a diabetes self-management programme, organised in a multi-professional primary care practice: a historical cohort study on 207 patients between 2017 and 2019
BMC endocrine disorders
introduction digital technology healthcare industry marked ongoing difficulties implementation use slow progress made unifying different healthcare systems much globe still lacks fully integrated healthcare system result critical advantageous healthcare providers comprehend fundamental ideas ai order design deliver aipowered technology ai commonly defined capacity machines mimic human cognitive functions tackle jobs equivalent superior performance humans combining computer science algorithms machine learning data science healthcare system dynamic evolving environment medical experts constantly confronted new issues shifting duties frequent interruptions variation illness diagnosis frequently becomes secondary concern healthcare professionals furthermore clinical interpretation medical information cognitively demanding endeavor applies seasoned experts also individuals varying limited skills young assistant doctors paper proposed comparative analysis various stateoftheart methods deep learning medical imaging diagnosis evaluated various important characteristics methodology evaluate various important factors interpretability visualization semantic data quantification logical relationships medical data furthermore glaucoma diagnosis system discussed detail via qualitative quantitative approaches finally applications future prospects also discussed