
    In a medical imaging system analyzing multiple tissue regions for disease detection, identify the region ID that corresponds to the most confident disease prediction (lowest abnormality score) from a set of region-score pairs. Each pair consists of a region identifier and its corresponding abnormality confidence score, where lower scores indicate higher certainty of disease presence.
    

    
from operator import itemgetter

def index_minimum(test_list):
    """
    In a medical imaging system analyzing multiple tissue regions for disease detection, identify the region ID that corresponds to the most confident disease prediction (lowest abnormality score) from a set of region-score pairs. Each pair consists of a region identifier and its corresponding abnormality confidence score, where lower scores indicate higher certainty of disease presence.
    

    """
from operator import itemgetter

def index_minimum(test_list):
    """
    In a medical imaging system analyzing multiple tissue regions for disease detection, identify the region ID that corresponds to the most confident disease prediction (lowest abnormality score) from a set of region-score pairs. Each pair consists of a region identifier and its corresponding abnormality confidence score, where lower scores indicate higher certainty of disease presence.
    

    """
    res = min(test_list, key=itemgetter(1))[0]
    return res